ICCV2019论文题目中文列表_deep restoration of vintage photographs from scann

作者：花生_TL007 | 2024-02-16 04:53:20

踩

deep restoration of vintage photographs from scanned halftone prints

英文题目	中文题目
FaceForensics++: Learning to Detect Manipulated Facial Images	FaceForensics++：学习检测操纵的面部图像
DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration	DeepVCP：用于点云配准的端到端深度神经网络
Shape Reconstruction Using Differentiable Projections and Deep Priors	基于可微投影和深度先验的形状重建
Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization	细粒度分割网络：基于自监督分割的长期视觉定位性能提升
SANet: Scene Agnostic Network for Camera Localization	SANet：基于场景不可知网络的摄像机定位
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning	全消噪：三维点云清理的无监督学习
Hierarchical Self-Attention Network for Action Localization in Videos	视频动作定位的分层自关注网络
Goal-Driven Sequential Data Abstraction	目标驱动的顺序数据抽象
Jointly Aligning Millions of Images With Deep Penalised Reconstruction Congealing	基于深度惩罚重建凝结的数百万张图片联合对齐
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	放弃适应：基于判别特征学习的非监督域适应
NLNL: Negative Learning for Noisy Labels	NLNL：噪声标签的负学习
Adversarial Robustness vs. Model Compression, or Both?	对抗性稳健Vs.模型压缩，或两者兼而有之？
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method	利用无梯度优化和算子分裂方法设计黑盒对抗实例
DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks	DewarpNet：使用叠加三维和二维回归网络的单图像文档去弯曲
Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble	基于层次结构集成的鲁棒人脸Landmark检测
Remote Heart Rate Measurement From Highly Compressed Facial Videos: An End-to-End Deep Learning Solution With Video Enhancement	从高度压缩的面部视频中进行远程心率测量：一种具有视频增强功能的端到端深度学习解决方案
Face-to-Parameter Translation for Game Character Auto-Creation	面向参数转换的游戏角色自动生成
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions	可视化反投影：坍塌维度的概率恢复
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow	结构流：通过结构感知的外观流进行图像修复
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization	GAN中的不动点学习：从图像-图像转换到疾病检测与定位
Generative Adversarial Training for Weakly Supervised Cloud Matting	基于生成性对抗训练的弱监督云Matting（抠图？）
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data	PAMTRI：基于高度随机综合数据的姿态感知多任务学习实现车辆再识别
Generative Adversarial Networks for Extreme Learned Image Compression	用于极端学习图像压缩的GAN
Instance-Guided Context Rendering for Cross-Domain Person Re-Identification	基于实例引导上下文呈现的跨域人再识别
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance	还有什么可以愚弄深度学习？深度神经网络性能的色彩恒常性误差处理
Beyond Cartesian Representations for Local Descriptors	超越笛卡尔表示的局部描述符
Distilling Knowledge From a Deep Pose Regressor Network	从深度姿态回归网络中提取知识
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression	基于序贯回归的单帧图像实例级未来运动估计
Vision-Infused Deep Audio Inpainting	视觉注入深度音频修复
HAWQ: Hessian AWare Quantization of Neural Networks With Mixed-Precision	HAWQ:利用混合精度实现神经网络的Hessian感知量化
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks	深度图像超分辨率的抗对抗攻击鲁棒性评估
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild	利用野外无标签数据克服灾难性遗忘
Symmetric Cross Entropy for Robust Learning With Noisy Labels	带噪声标签鲁棒学习的对称交叉熵
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training	基于嵌入式类模型和无镜头元训练的少镜头学习
Dual Directed Capsule Network for Very Low Resolution Image Recognition	用于超低分辨率图像识别的双向胶囊网络
Recognizing Part Attributes With Insufficient Data	利用不足数据识别部分属性
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds	USIP：三维点云的无监督稳定兴趣点检测
Mixed High-Order Attention Network for Person Re-Identification	混合高阶注意网络用于人再识别
Budget-Aware Adapters for Multi-Domain Learning	用于多域学习的预算感知适配器
Compact Trilinear Interaction for Visual Question Answering	视觉问答的紧凑三线交互
Towards Latent Attribute Discovery From Triplet Similarities	基于三元相似性的潜在属性发现
GeoStyle: Discovering Fashion Trends and Events	GeoStyle：发现时尚趋势和事件
Towards Adversarially Robust Object Detection	对抗性鲁棒目标检测
Automatic and Robust Skull Registration Based on Discrete Uniformization	基于离散均匀化的自动鲁棒颅骨配准
Few-Shot Image Recognition With Knowledge Transfer	基于知识迁移的少镜头图像识别
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings	基于多重部分语音嵌入的细粒度动作检索
Vehicle Re-Identification in Aerial Imagery: Dataset and Approach	航空影像中的车辆再识别：数据集与方法
Bridging the Domain Gap for Ground-to-Aerial Image Matching	地-空图像匹配中的域间隙桥接
A Robust Learning Approach to Domain Adaptive Object Detection	一种鲁棒学习的域自适应目标检测方法
Graph-Based Object Classification for Neuromorphic Vision Sensing	基于图的对象分类实现神经形态视觉感知
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving	高斯YOLOv3：自主驾驶中一种基于定位不确定性的快速精确目标检测方法
Sharpen Focus: Learning With Attention Separability and Consistency	集中注意力：学习中注意力的可分离性和一致性
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition	多标签图像识别中的特定语义图表示学习
DeceptionNet: Network-Driven Domain Randomization	DeceptionNet：网络驱动的域随机化
Pose-Guided Feature Alignment for Occluded Person Re-Identification	基于姿态引导的特征对齐实现遮挡人再识别
Robust Person Re-Identification by Modelling Feature Uncertainty	基于特征不确定性建模的鲁棒人再识别
Co-Segmentation Inspired Attention Networks for Video-Based Person Re-Identification	基于共分割启发的注意网络用于基于视频的人再识别
A Delay Metric for Video Object Detection: What Average Precision Fails to Tell	视频目标检测的一种延迟度量：平均精度不能判断什么
IL2M: Class Incremental Learning With Dual Memory	IL2M：双记忆课堂增量学习
Asymmetric Non-Local Neural Networks for Semantic Segmentation	非对称非局部神经网络用于语义分割	语义分割网中嵌入NonLocal-Block，并将其改进为非对称NonLocal-Block，并进一步添加金字塔池化和多级融合技术（见框图）
CCNet: Criss-Cross Attention for Semantic Segmentation	CCNet：基于交叉注意的语义分割	利用十字（criss-cross）方式，高效地获取全局上下文信息
Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function	基于单水平集函数的凸形状先验多目标分割
Feature Weighting and Boosting for Few-Shot Segmentation	基于特征加权和boosting的少镜头分割
Surface Networks via General Covers	通过一般覆盖的地面网络
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid	SSAP:基于相似金字塔的单镜头实例分割	先进行（多尺度）语义分割（S），同时获得（多尺度）像素对关系（A），最后将不同尺度的A和S利用图割的方式，融合在一起，得到实例分割
Learning Propagation for Arbitrarily-Structured Data	面向任意结构数据的学习传播
MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input	MultiSeg：从最小的用户输入实现语义上有意义，尺度分散的分割
Robust Motion Segmentation From Pairwise Matches	基于成对匹配的鲁棒运动分割
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting	InstaBoost：通过概率地图引导的复制粘贴实现增强实例分割	利用Copy-Paste的方法，实现训练样本集的增强
Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network	荒野中的种族面孔：信息最大化自适应网络减少种族偏移
Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition	Tracklet间上下文关系的不确定性建模实现无约束视频人脸识别
Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading	基于时空融合的卷积序列学习实现唇读
Occlusion-Aware Networks for 3D Human Pose Estimation in Video	视频中三维人体姿态估计的遮挡感知网络
Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation With Partially Labeled Data	利用部分标记数据实现基于上下文感知特征与标签融合的人脸动作单元强度估计
Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning	基于NRSfM的知识蒸馏实现弱监督三维姿态学习
MONET: Multiview Semi-Supervised Keypoint Detection via Epipolar Divergence	基于极线散度的多视图半监督关键点检测
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis	手语16.2m：用于会话运动分析和合成的大规模体-指同步运动和音频数据集
Occlusion Robust Face Recognition Based on Mask Learning With Pairwise Differential Siamese Network	基于成对差分孪生网络的模板学习实现遮挡鲁棒人脸识别
Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection	教师指导学生如何从部分标记的图像中学习面部Landmark检测
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation From a Single Depth Image	A2J：锚定联合回归网络用于单深度图像三维关节姿态估计
TexturePose: Supervising Human Mesh Estimation With Texture Consistency	基于纹理一致性的人体网格估计监控
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images	FreiHAND：一个从单个RGB图像中无标记捕捉手部姿势和形状的数据集
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles	多自主微型飞行器无标记室外人体运动捕捉
Toyota Smarthome: Real-World Activities of Daily Living	丰田智能家居：现实生活中的日常生活活动
Relation Parsing Neural Network for Human-Object Interaction Detection	关系解析神经网络在人机交互检测中的应用
DistInit: Learning Video Representations Without a Single Labeled Video	DistInit：学习没有单个标记视频的视频表示
Zero-Shot Anticipation for Instructional Activities	教学活动的零镜头预期
Making the Invisible Visible: Action Recognition Through Walls and Occlusions	使隐形可见：通过墙和遮挡的动作识别
Recursive Visual Sound Separation Using Minus-Plus Net	用Minus-Plus Net进行递归可视声音分离
Unsupervised Video Interpolation Using Cycle Consistency	基于循环一致性的无监督视频插值
Deformable Surface Tracking by Graph Matching	基于图匹配的变形曲面跟踪
Deep Meta Learning for Real-Time Target-Aware Visual Tracking	基于深度元学习的实时目标感知视觉跟踪
Looking to Relations for Future Trajectory Forecast	展望未来轨迹预测的关系
Anchor Diffusion for Unsupervised Video Object Segmentation	无监督视频对象分割的锚扩散算法
Tracking Without Bells and Whistles	无铃无哨的追踪
Perspective-Guided Convolution Networks for Crowd Counting	面向人群计数的透视导引卷积网络
End-to-End Wireframe Parsing	端到端线框分析
Incremental Class Discovery for Semantic Segmentation With RGBD Sensing	基于RGBD感知的增量类发现实现语义分割
SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation	SSF-DAN：基于分离语义特征的域自适应实现语义分割	（待标签的）训练样本与真实域无标签训练样本在不同域，因此采用域自适应的方法，来实现弱监督的语义分割。本文采用GAN的方法，如图2
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset	SpaceNet-MVOI：一个多视图俯视图像数据集
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting	用于人群计数的多层次自下而上和自上而下特征融合
Learning Lightweight Lane Detection CNNs by Self Attention Distillation	自关注蒸馏学习轻量级CNNs用于车道检测
SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation	SplitNet:Sim2Sim和Task2Task传输以实现可视化导航
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization	基于级联并行滤波的记忆高效图像定位
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation	Pixel2Mesh++：通过变形生成多视图三维网格
A Differential Volumetric Approach to Multi-View Photometric Stereo	基于差分体积法的多视光度立体成像
Revisiting Radial Distortion Absolute Pose	重新审视径向畸变绝对姿态
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging	无点对应的基本矩阵估计及其在透射成像中的应用
QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge	QUARCH：一种基于模糊相对摄像机方位知识的准仿射重建层
Homography From Two Orientation- and Scale-Covariant Features	基于两个方向和尺度协方差特征的单应性
Hiding Video in Audio via Reversible Generative Models	基于可逆生成模型的隐藏视频到音频
GSLAM: A General SLAM Framework and Benchmark	GSLAM：一个通用的SLAM框架和基准
Elaborate Monocular Point and Line SLAM With Robust Initialization	具有鲁棒初始化的精细单目点-线SLAM
Adaptive Density Map Generation for Crowd Counting	用于人群计数的自适应密度图生成
Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval	注意力感知极性敏感嵌入在情感图像检索中的应用
Zero-Shot Emotion Recognition via Affective Structural Embedding	基于情感结构嵌入的零镜头情感识别
FW-GAN: Flow-Navigated Warping GAN for Video Virtual Try-On	FW-GAN：用于视频虚拟试穿的流导航翘曲GAN
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation	交互式草图与填充：多类别草图-图像转换
Attention-Based Autism Spectrum Disorder Screening With Privileged Modality	基于注意力的自闭症谱系障碍筛查
Image Aesthetic Assessment Based on Pairwise Comparison A Unified Approach to Score Regression, Binary Classification, and Personalization	基于成对比较的图像美学评价评分回归、二元分类和个性化的统一方法
Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach	无人机鲁棒目标检测的深入研究
Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search	比特翻转攻击：基于渐进式比特搜索的粉碎神经网络
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method	推动无约束人群计数的前沿：新数据集和基准方法
Employing Deep Part-Object Relationships for Salient Object Detection	利用深度局部-目标关系进行显著目标检测
Self-Supervised Deep Depth Denoising	自监督深度深度信息去噪
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations	成本感知细粒度识别实现顺序固定的IoT（物联网？）
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions	基于布局诱导的视频表示方法识别Agent原地动作
Anomaly Detection in Video Sequence With Appearance-Motion Correspondence	基于外观运动对应的视频序列异常检测
Exploring Randomly Wired Neural Networks for Image Recognition	随机有线神经网络在图像识别中的应用
Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation	渐进可微架构搜索：缩小搜索和评估之间的深度差距
Multinomial Distribution Learning for Effective Neural Architecture Search	基于多项式分布学习的有效的神经结构搜索
Searching for MobileNetV3	正在搜索MobileNetV3
Data-Free Quantization Through Weight Equalization and Bias Correction	通过权值均衡和偏差校正实现无数据量化
A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays	CNNs摄像机：面向像素处理器阵列上的嵌入式神经网络
Knowledge Distillation via Route Constrained Optimization	基于路径约束优化的知识蒸馏
Distillation-Based Training for Multi-Exit Architectures	基于蒸馏的训练实现多出口结构
Similarity-Preserving Knowledge Distillation	相似性保持的知识蒸馏
Many Task Learning With Task Routing	基于任务路由的多任务学习
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels	基于随机滤波器组的多任务CNN：学习专家和广义卷积核
Transferability and Hardness of Supervised Classification Tasks	监督分类任务的可转移性与难易性
Moment Matching for Multi-Source Domain Adaptation	基于矩匹配的多源域自适应
Unsupervised Domain Adaptation via Regularized Conditional Alignment	基于正则条件对齐的无监督域自适应
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation	更大范数更多可转移：一种无监督域自适应的自适应特征范数方法
UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation	UM-Adapt：使用对抗性跨任务蒸馏的无监督多任务自适应
Episodic Training for Domain Generalization	基于幕式训练的域泛化
Domain Adaptation for Structured Output via Discriminative Patch Representations	基于判别区分块表示的结构化输出域自适应
Semi-Supervised Learning by Augmented Distribution Alignment	基于增广分布对齐的半监督学习
S4L: Self-Supervised Semi-Supervised Learning	S4L：自监督半监督学习
Privacy Preserving Image Queries for Camera Localization	隐私保护图像查询实现摄像机定位
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty	标定向导：一种基于几何和角不确定性建模的摄像机标定制导系统
Gated2Depth: Real-Time Dense Lidar From Gated Images	Gated2Depth：来自门控图像的实时密集激光雷达
X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion	x截面：增强RGBD融合的截面预测
Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo	事件序列嵌入学习实现基于稠密事件的深度立体图
Point-Based Multi-View Stereo Network	基于点的多视图立体网络
Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction	动态三维重建的离散Laplace算子估计
Deep Non-Rigid Structure From Motion	深度非刚性Structure From Motion
Equivariant Multi-View Networks	等变多视网络
Interpolated Convolutional Networks for 3D Point Cloud Understanding	插值卷积网络在三维点云理解中的应用
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data	重新审视点云分类：一种基于真实数据的新的基准数据集和分类模型
PointCloud Saliency Maps	点云显著图
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics	基于同心壳统计的高效点云卷积神经网络
Unsupervised Deep Learning for Structured Shape Matching	基于无监督深度学习的结构形状匹配
Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration	基于线性收敛准分枝和定界算法的全局刚性配准
Consensus Maximization Tree Search Revisited	协商一致最大化树搜索
Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World	曼哈顿世界的准全局最优高效消失点估计
An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction	具有共同参考方向的单应相对位姿问题的有效解
A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers	基于四元数的孤立点Wahba问题的可证明最优解
PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility	完全多视图可见性中的点-线最小问题
Variational Few-Shot Learning	变分少镜头学习
Generative Adversarial Minority Oversampling	生成性对抗少数过采样
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection	记忆正态性异常检测：用于无监督异常检测的记忆增强深度自动编码器
Topological Map Extraction From Overhead Images	从头顶图像中提取拓扑图
Exploiting Temporal Consistency for Real-Time Video Depth Estimation	利用时间一致性进行实时视频深度估计
The Sound of Motions	运动的声音
SC-FEGAN: Face Editing Generative Adversarial Network With User's Sketch and Color	SC-FEGAN：基于用户素描和色彩的人脸编辑生成对抗网络
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style	探索类人认知方式中图像字幕的整体语境信息
Order-Aware Generative Modeling Using the 3D-Craft Dataset	基于三维工艺数据集的次序感知生成建模
Crowd Counting With Deep Structured Scale Integration Network	基于深度结构规模集成网络的人群计数
Bidirectional One-Shot Unsupervised Domain Mapping	双向单镜头无监督域映射
Evolving Space-Time Neural Architectures for Videos	进化的视频时空神经结构
Universally Slimmable Networks and Improved Training Techniques	通用可瘦身网络和改进的训练技术
AutoDispNet: Improving Disparity Estimation With AutoML	AutoDispNet：用AutoML改进视差估计	网络结构搜索和最优超参数搜索的方法
Deep Meta Functionals for Shape Representation	基于深度元函数的形状表示
Differentiable Kernel Evolution	可微的核演化
Batch Weight for Domain Adaptation With Mass Shift	利用质量漂移实现域自适应的批处权重
SRM: A Style-Based Recalibration Module for Convolutional Neural Networks	SRM：卷积神经网络中一种基于样式的再校准模块
Switchable Whitening for Deep Representation Learning	基于可切换白化的深度表示学习
Adaptative Inference Cost With Convolutional Neural Mixture Models	基于卷积神经混合模型的自适应推理代价
On Network Design Spaces for Visual Recognition	基于网络设计空间的视觉识别
Improved Techniques for Training Adaptive Deep Networks	自适应深度网络训练的改进技术
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?	资源受限的神经网络架构搜索：子模块假设有帮助吗？
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks	ACNet：通过非对称卷积块增强CNN的核骨架
A Comprehensive Overhaul of Feature Distillation	特征蒸馏的全面检修
Transferable Semi-Supervised 3D Object Detection From RGB-D Data	RGBD数据的可转移半监督三维目标检测
DPOD: 6D Pose Object Detector and Refiner	DPOD:6D位姿目标检测器和细化器
STD: Sparse-to-Dense 3D Object Detector for Point Cloud	STD：点云的稀疏-稠密三维目标检测器
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense	DUP-Net：用于3D对抗点云防御的去噪和上采样网络
Learning Rich Features at High-Speed for Single-Shot Object Detection	高速学习丰富特征实现单镜头目标检测
Detecting Unseen Visual Relations Using Analogies	用类比法检测看不见的视觉关系
Disentangling Monocular 3D Object Detection	分离式单目三维目标检测
STM: SpatioTemporal and Motion Encoding for Action Recognition	STM：用于动作识别的时空和运动编码
Dynamic Context Correspondence Network for Semantic Alignment	语义对齐的动态上下文对应网络
Fooling Network Interpretation in Image Classification	图像分类中的愚弄网络解释
Unconstrained Foreground Object Search	无约束前景对象搜索
Embodied Amodal Recognition: Learning to Move to Perceive Objects	体现性情感识别：学习移动感知物体
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition	空间感知：一种用于空间关系识别的逆向众包基准
TensorMask: A Foundation for Dense Object Segmentation	TensorMask：密集目标分割的基础
Integral Object Mining via Online Attention Accumulation	基于在线注意力积累的整体对象挖掘
Accelerated Gravitational Point Set Alignment With Altered Physical Laws	用改变的物理定律加速引力点集对准
Domain Adaptation for Semantic Segmentation With Maximum Squares Loss	基于最大平方损失的域自适应实现语义分割	基于域自适应的语义分割，提出两点改进：1. 提出新的损失函数；2. 提出类别重加权，以解决类别不平衡的问题
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization Without Accessing Target Domain Data	域随机化与金字塔一致性：不访问目标域数据的真实综合仿真
Semi-Supervised Skin Detection by Network With Mutual Guidance	基于互导网络的半监督皮肤检测
ACE: Adapting to Changing Environments for Semantic Segmentation	ACE：适应不断变化的环境实现语义分割	基于域自适应的语义分割
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries	有效分割：在语义边界附近学习下采样
Recurrent U-Net for Resource-Constrained Segmentation	基于递归U-Net的资源受限分割
Detecting the Unexpected via Image Resynthesis	通过图像再合成检测意外
Self-Supervised Monocular Depth Hints	自监督单目深度提示
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers	基于多层深度和极线变换的三维场景重建
How Do Neural Networks See Depth in Single Images?	神经网络如何在单个图像中看到深度？
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos	单目视频增强单帧三维人体姿态估计
Canonical Surface Mapping via Geometric Cycle Consistency	基于几何循环一致性的正则曲面映射
3D-RelNet: Joint Object and Relational Network for 3D Prediction	3d RelNet：三维预测的联合对象和关系网络
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild	GP2C：基于几何投影参数一致性的野外联合三维姿态和焦距估计
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images	塑造人：基于单个图像的非参数三维人体形状估计
3DPeople: Modeling the Geometry of Dressed Humans	3DPeople：为穿着衣服的人的几何体建模
Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop	基于模型拟合的三维人体姿态和形状重建
Optimizing Network Structure for 3D Human Pose Estimation	三维人体姿态估计的网络结构优化
Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks	基于时-空关系的图形卷积网络实现三维姿态估计
Resolving 3D Human Pose Ambiguities With 3D Scene Constraints	利用三维场景约束解决三维人体姿态模糊问题
Tex2Shape: Detailed Full Human Body Geometry From a Single Image	Tex2Shape：从一幅图像中获得详细的全身几何图形
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization	PIFu：基于像素对齐隐函数的高分辨率服装数字化
DF2Net: A Dense-Fine-Finer Network for Detailed 3D Face Reconstruction	DF2Net：一种密集-精细-更精细网络实现详细三维人脸重建
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking	基于生成和序数排序的单目三维人体姿态估计
Aligning Latent Spaces for 3D Hand Pose Estimation	基于潜在空间对齐的三维手部姿态估计
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation	HEMLets Pose：学习以局部为中心的热图三元组以精确估计三维人体姿势
End-to-End Hand Mesh Recovery From a Monocular RGB Image	单目RGB图像的端到端手部网格恢复
Robust Multi-Modality Multi-Object Tracking	鲁棒多模态多目标跟踪
The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs	基于动态时空图的概率多智能体轨迹建模
'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking	“略读”跟踪：一个实时和健壮的长期跟踪框架
TASED-Net: Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection	用于视频显著性检测的时间聚集空间编解码网络
Attacking Optical Flow	攻击光流
Pro-Cam SSfM: Projector-Camera System for Structure and Spectral Reflectance From Motion	Pro-Cam SSfm：用于运动中结构和光谱反射的投影-摄像系统
Mop Moire Patterns Using MopNet	基于MopNet的Mop Moire图案
Kernel Modeling Super-Resolution on Real Low-Resolution Images	真实低分辨率图像的核模型超分辨率
Learning to Jointly Generate and Separate Reflections	学会共同产生和分离反射
Deep Multi-Model Fusion for Single-Image Dehazing	基于深度多模型融合的单图像去雾
Deep Learning for Seeing Through Window With Raindrops	透过雨滴看窗外的深度学习
Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data	Mask-ShadowGAN：学习从未配对数据中移除阴影
Spatio-Temporal Filter Adaptive Network for Video Deblurring	用于视频去模糊的时空滤波自适应网络
Learning Deep Priors for Image Dehazing	图像去模糊的深度先验学习
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding	基于深度卷积稀疏编码的jpeg伪影抑制
Self-Guided Network for Fast Image Denoising	用于快速图像去噪的自引导网络
Non-Local Intrinsic Decomposition With Near-Infrared Priors	基于近红外先验的非局部本征分解
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability	VideoMem：构建、分析、预测短期和长期视频记忆
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans	Rescan：基于归纳实例分割的室内RGBD扫描
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans	三维扫描中的端到端CAD模型检索与9自由度对准
Making History Matter: History-Advantage Sequence Training for Visual Dialog	创造历史：基于历史优势序列训练的可视化对话
Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization	随机吸引-排斥嵌入在大规模图像定位中的应用
Scene Graph Prediction With Limited Labels	基于有限标签的场景图预测
Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded	提示：利用解释使视觉和语言模型更加扎根
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment	Align2Ground：图片-标注对齐引导的弱监督phase grounding	phrase grounding：给出一张图片和一个自然语言描述的问题，在图片中定位问题中所提到的物体。是很多问题的
Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding	基于自适应重构网络的弱监督指代表达
Hierarchy Parsing for Image Captioning	基于层次分析的图像标注
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips	HowTo100M：通过观看一亿个叙述视频片段实现文本-视频嵌入学习
Controllable Video Captioning With POS Sequence Guidance Based on Gated Fusion Network	基于门控融合网络的POS序列引导实现可控视频标注
Multi-View Stereo by Temporal Nonparametric Fusion	基于时间非参数融合的多视点立体视觉
Floor-SP: Inverse CAD for Floorplans by Sequential Room-Wise Shortest Path	Floor-SP：按顺序房间最短路径进行楼层平面逆向CAD
Polarimetric Relative Pose Estimation	极化相对位姿估计
Closed-Form Optimal Two-View Triangulation Based on Angular Errors	基于角度误差的闭式最优二视图三角剖分
Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images	Pix2Vox：基于单视图和多视图图像的上下文感知三维重建
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis	潜在特征的无监督鲁棒分离实现图像合成
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution	SROBB：单图像超分辨率的目标感知损失
An Internal Learning Approach to Video Inpainting	视频修复的内部学习方法
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement	深层CG2Real：通过图像解纠缠实现从合成到真实的翻译
Adversarial Defense via Learning to Generate Diverse Attacks	通过学习产生多种攻击实现对抗性防御
Image Generation From Small Datasets via Batch Statistics Adaptation	批统计自适应实现从小数据集生成图像
Lifelong GAN: Continual Learning for Conditional Image Generation	终身GAN：条件图像生成的持续学习
Bayesian Relational Memory for Semantic Visual Navigation	面向语义视觉导航的贝叶斯关系记忆
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes	Mono-SF：多视点几何满足单视点深度的单目动态交通场景流量估计
Prior Guided Dropout for Robust Visual Localization in Dynamic Environments	基于先验引导Dropout的动态环境下鲁棒视觉定位
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles	Drive&Act：一个用于自主车辆细粒度驾驶员行为识别的多模态数据集
Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints	基于深度法向约束的稀疏激光雷达数据深度补全
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings	PRECOG:视觉多Agent设置中基于目标的预测
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis	LPD-Net：用于大规模地点识别和环境分析的三维点云学习
Local Supports Global: Deep Camera Relocalization With Sequence Enhancement	局部支持全局：基于序列增强的深度相机重定位
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry	基于序贯对抗学习的自监督深度视觉里程计
TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts	文本位置：通过阅读场景文本进行视觉位置识别和拓扑定位
CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization	CamNet：从粗到细的检索实现相机重定位
Situational Fusion of Visual Representation for Visual Navigation	视觉表示的情景融合实现视觉导航
Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking	学习畸变抑制相关滤波器在无人机实时跟踪中的应用
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation	六自由度GraspNet：基于变分抓取生成的对象操作
DAGMapper: Learning to Map by Discovering Lane Topology	DAGMapper：通过发现车道拓扑学习地图
3D-LaneNet: End-to-End 3D Multiple Lane Detection	3D-LaneNet：端到端三维多车道检测
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation	基于近似方差传播的无抽样认知不确定性估计
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation	基于先验驱动不确定近似的普遍反对称扰动
Understanding Deep Networks via Extremal Perturbations and Smooth Masks	利用极值扰动和光滑掩模理解深度网络
Unsupervised Pre-Training of Image Features on Non-Curated Data	非精确数据上图像特征的无监督预训练
Learning Local Descriptors With a CDF-Based Dynamic Soft Margin	基于CDF的动态软边值实现局部描述子学习
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement	Bayes-Factor-VAE：用于因子分离的分层Bayesian深度自编码模型
Linearized Multi-Sampling for Differentiable Image Transformation	基于线性化多重采样的可微图像变换
AdaTransform: Adaptive Data Transformation	AdaTransform：自适应数据转换
CARAFE: Content-Aware ReAssembly of FEatures	CARAFE：内容感知的特征重组	用于上采样的一种改进算法（如图2）：分两步，首先训练出一个用于不同位置点乘的核（不同于双线性，不同位置的处理方式依赖于这个核）；然后利用这个核来进行局部邻域的加权均值，从而实现不同位置，不同处理方式的上采样
AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching	AFD-Net：用于跨光谱图像块匹配的聚合特征差分学习
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval	面向大规模无监督跨模态检索的深度联合语义重构哈希算法
Unsupervised Neural Quantization for Compressed-Domain Similarity Search	基于无监督神经量化的压缩域相似性搜索
Siamese Networks: The Tale of Two Manifolds	孪生网络：两个流形的故事
Learning Combinatorial Embedding Networks for Deep Graph Matching	用于深度图匹配的组合嵌入网络学习
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid	基于相似金字塔的图推理网络实现服装检索
Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution	单图像超分辨率中基于小波域风格变换的感知失真折衷
Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model	走向现实世界的单图像超分辨率：一种新的基准和模型
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution	RankSRGAN：基于Ranker的GAN实现图像超分辨率
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations	利用非局部时空相关性的渐进式融合实现视频超分辨率网络
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications	深度SR-ITM:4K超高清应用中超分辨率和逆色调映射的联合学习
Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior	非负矩阵分解结合深度图像先验的动态PET图像重建
DSIC: Deep Stereo Image Compression	深度立体图像压缩
Variable Rate Deep Image Compression With a Conditional Autoencoder	基于条件自动编码器的变速率深度图像压缩
Real Image Denoising With Feature Attention	基于特征注意的真实图像去噪
Noise Flow: Noise Modeling With Conditional Normalizing Flows	噪声流：使用条件规范化流的噪声建模
Bottleneck Potentials in Markov Random Fields	马尔可夫随机场的瓶颈势
Seeing Motion in the Dark	在黑暗中看运动
SENSE: A Shared Encoder Network for Scene-Flow Estimation	SENSE：用于场景流估计的共享编码器网络
Adversarial Feedback Loop	对抗性反馈回路
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks	动态网：无需重新训练即可调整目标实现综合任务
AutoGAN: Neural Architecture Search for Generative Adversarial Networks	AutoGAN：生成性对抗网络的神经结构搜索
Co-Evolutionary Compression for Unpaired Image Translation	基于协同进化压缩的非成对图像翻译
Self-Supervised Representation Learning From Multi-Domain Data	多域数据的自监督表示学习
Controlling Neural Networks via Energy Dissipation	基于能量耗散的神经网络控制
Indices Matter: Learning to Index for Deep Image Matting	索引的重要性：学习索引进行深度图像抠图
LAP-Net: Level-Aware Progressive Network for Image Dehazing	LAP-Net：基于层级感知递进网络的图像去雾
Attention Augmented Convolutional Networks	注意力增强卷积网络
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning	元剪枝：神经网络通道自动剪枝的元学习
Accelerate CNN via Recursive Bayesian Pruning	通过递归贝叶斯剪枝实现加速CNN
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions	HBONet：两个正交维度上的和谐瓶颈
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks	O2U-Net：一种简单的深度神经网络中噪声标签检测方法
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation	基于单侧高估的非对称损失逼近实现连续学习
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation	Label-PEnet：基于序列标签传播与增强网络的弱监督实例分割
LIP: Local Importance-Based Pooling	LIP：局部基于重要性的池化
Global Feature Guided Local Pooling	全局功能引导的局部池化
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation	基于条件耦合GAN的零镜头域自适应
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks	通过限制深层神经网络隐藏空间实现对抗防御
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features	超像素流：基于多层神经特征的语义对应
Information Entropy Based Feature Pooling for Convolutional Neural Networks	基于信息熵的卷积神经网络特征池
Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams	PatchWork：一种用于视频流中有效目标检测和分割的补丁式注意力网络
AttentionRNN: A Structured Spatial Attention Mechanism	AttentionRNN：一种结构化的空间注意机制	像RNN一样的Attention，即在估计Attention Mask时，每个点都依赖于前面已估计出的点（传统的方式是，每个点独立估计）
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution	降八度：用八度卷积减少卷积神经网络的空间冗余
Domain Intersection and Domain Difference	域交与域差
Learned Video Compression	学习视频压缩
Local Relation Networks for Image Recognition	基于局部关系网络的图像识别
DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing	DiscoNect：断开流形上的形状学习实现三维编辑
Deep Residual Learning in the JPEG Transform Domain	JPEG变换域的深度残差学习
Approximated Bilinear Modules for Temporal Modeling	基于近似双线性模型的时域建模
Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation	自适应知识融合实现从异构教师网络定制学生网络
Data-Free Learning of Student Networks	学生网络的无数据学习
Deep Closest Point: Learning Representations for Point Cloud Registration	深度最近点：基于表示学习的点云配准
Orientation-Aware Semantic Segmentation on Icosahedron Spheres	二十面体球面上的方向感知语义分割	全方向（omnidirectional）图像的语义分割
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks	基于可分组卷积神经网络的信道群可微学习
HarDNet: A Low Memory Traffic Network	HarDNet：一个低内存交通网络
Dynamic Multi-Scale Filters for Semantic Segmentation	用于语义分割的动态多尺度滤波器	如图2，网络中添加多个个基于自适应池化学习出来的滤波器
Online Model Distillation for Efficient Video Inference	基于在线模型蒸馏的有效视频推理
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective	从条件视觉分类的角度反思零镜头学习
Task-Driven Modular Networks for Zero-Shot Compositional Learning	基于任务驱动模块化网络的零镜头组合学习
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning	基于转导不定自适应度量的少数镜头学习
Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition	用于真实纹理识别的深度多属性感知网络
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment	基于联合像素和特征对齐的RGB-红外交叉模态人再识别
EvalNorm: Estimating Batch Normalization Statistics for Evaluation	EvalNorm:估计用于评估的批处理规范化（BN）统计信息
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification	超越人的部分：基于双部分对齐表示的人再识别
Person Search by Text Attribute Query As Zero-Shot Learning	基于作为零镜头学习的文本属性查询的人搜索算法
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval	语义感知知识保存实现零镜头基于草图的图像检索
Active Learning for Deep Detection Neural Networks	主动学习实现深度检测神经网络
One-Shot Neural Architecture Search via Self-Evaluated Template Network	基于自评估模板网络的一次性神经网络结构搜索
Batch DropBlock Network for Person Re-Identification and Beyond	用于人再识别及其他的批处理DropBlock网络
Omni-Scale Feature Learning for Person Re-Identification	全尺度特征学习用于人再识别
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation	做自己的老师：通过自蒸馏提高卷积神经网络的性能
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification	合作分集：用于少镜头分类的集成方法
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval	基于邻接视图的二维图形增强实现三维形状检索
Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition	对抗性细粒度合成学习在不可见属性-对象识别中的应用
Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification	Auto-ReID：搜索局部感知ConvNet实现人重识别
Second-Order Non-Local Attention Networks for Person Re-Identification	二阶非局部注意网络用于人再识别
Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances	用Q-距离快速计算内容敏感超像素和超体素
Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm	Progressive-X：高效、随时、多模型拟合算法
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection	联合深度特征和预测细化的结构化建模实现显著目标检测
Selectivity or Invariance: Boundary-Aware Salient Object Detection	选择性或不变性：边界感知显著目标检测
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies	任意刚体三维运动结构的在线无监督学习
Few-Shot Generalization for Single-Image 3D Reconstruction via Priors	利用少镜头泛化实现基于先验的单幅图像三维重建
Digging Into Self-Supervised Monocular Depth Estimation	自监督单目深度估计方法的研究
Learning Object-Specific Distance From a Monocular Image	从单目图像中学习特定对象的距离
Unsupervised 3D Reconstruction Networks	无监督三维重建网络
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions	基于树结构图卷积的三维点云GAN
Visualization of Convolutional Neural Networks for Monocular Depth Estimation	卷积神经网络可视化在单目深度估计中的应用
Co-Separating Sounds of Visual Objects	视觉对象的共分离声音
BMN: Boundary-Matching Network for Temporal Action Proposal Generation	BMN：基于边界匹配网络的时间行为建议生成
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks	基于对比度评价网络的弱监督时间行为定位
Progressive Sparse Local Attention for Video Object Detection	基于渐进稀疏局部注意的视频目标检测
Reasoning About Human-Object Interactions Through Dual Attention Networks	基于双注意网络的人机交互推理
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation	DMM-Net：用于视频对象分割的可微掩模匹配网络
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query	非对称交叉引导注意网络实现自然语言查询中角色和动作视频分割
AGSS-VOS: Attention Guided Single-Shot Video Object Segmentation	AGSS-VOS:注意力引导的单镜头视频对象分割
Global-Local Temporal Representations for Video Person Re-Identification	基于全局-局部时间表示的视频人再识别
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos	ADvIT：基于时间一致性的视频对抗帧标识符
RANet: Ranking Attention Network for Fast Video Object Segmentation	RANet：用于视频对象快速分割的排序注意网络
Spatial-Temporal Relation Networks for Multi-Object Tracking	用于多目标跟踪的时空关系网络
Bridging the Gap Between Detection and Tracking: A Unified Approach	缩小检测和跟踪之间的差距：一种统一的方法
Learning the Model Update for Siamese Trackers	学习孪生跟踪器的模型更新
Fast-deepKCF Without Boundary Effect	无边界效应的快速深度KCF
Program-Guided Image Manipulators	程序引导图像操纵器
Calibration of Axial Fisheye Cameras Through Generic Virtual Central Models	通用虚拟中心模型对鱼眼相机的标定
Micro-Baseline Structured Light	微基线结构光
l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement	l-Net：从快照测量重建高光谱图像
Deep Depth From Aberration Map	像差图深度
A Dataset of Multi-Illumination Images in the Wild	野外多光照图像数据集
Monocular Neural Image Based Rendering With Continuous View Control	利用连续视图控制实现基于单目神经图像的展示
Multi-View Image Fusion	多视点图像融合
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise	利用高灵敏度相机噪声实现微光视频增强
Deep Restoration of Vintage Photographs From Scanned Halftone Prints	从扫描的半色调照片中深度复原复古照片
Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation	上下文感知图像抠图实现同时进行前景和α估计
CFSNet: Toward a Controllable Feature Space for Image Restoration	CFSNet：基于可控特征空间的图像复原
Deep Blind Hyperspectral Image Fusion	深度盲高光谱图像融合
Fully Convolutional Pixel Adaptive Image Denoiser	全卷积像素自适应图像去噪
Coherent Semantic Attention for Image Inpainting	基于连贯语义注意的图像修补
Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution	嵌入块残差网络：一种单图像超分辨率的递归恢复模型
Fast Image Restoration With Multi-Bin Trainable Linear Units	基于Multi-Bin可训练线性单元的快速图像复原
Counting With Focus for Free	免费焦点计数
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion	SynDeMo：基于协同深度特征对齐的深度和自我运动联合学习
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE	基于条件IMLE的语义布局多样性图像合成
Towards Bridging Semantic Gap to Improve Semantic Segmentation	通过桥接语义鸿沟实现语义分割改进	文章关注不同尺度特征的融合问题，在图6的网络结构中，使用了图4的三个模块，主要从多尺度融合和边缘感知两个方向，提升语义分割的效果
Generating Diverse and Descriptive Image Captions Using Visual Paraphrases	使用视觉释义生成多样的描述性图片标注
Learning to Collocate Neural Modules for Image Captioning	基于神经模块配置学习的图像标注
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning	序列潜空间在多样图像标注中的意图建模
Why Does a Visual Question Have Different Answers?	为什么视觉问题有不同的答案？
G3raphGround: Graph-Based Language Grounding	G3raphGround：基于图形的语言Grounding
Scene Text Visual Question Answering	场景文本可视化问答
Unsupervised Collaborative Learning of Keyframe Detection and Visual Odometry Towards Monocular Deep SLAM	关键帧检测与视觉里程测量的无监督协同学习实现单目深度SLAM
MVSCRF: Learning Multi-View Stereo With Conditional Random Fields	MVSCRF：基于条件随机场的多视图立体学习
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses	神经引导的RANSAC：模型假设采样位置学习
Efficient Learning on Point Clouds With Basis Point Sets	基于基础点集的点云高效学习
Cross View Fusion for 3D Human Pose Estimation	基于交叉视图融合的三维人体姿态估计
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images	基于多视点图像的形状感知人体姿态与形状重建
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations	基于超像素关系的动态场景单目分段深度估计
Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization	这是对的地方吗？基于几何-语义位姿验证的室内视觉定位
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch	DeepPruner：通过可微Patch匹配实现有效的立体匹配学习	1. 利用RNN的结构，描述PatchMatch 2. 利用可微的PatchMatch，缩小每个像素视差的搜索范围（传统的方法是所有视差可能性，而文中每个像素考虑的是部分视差，即Confidence Range，大约是全部视差范围的1/10）
Convolutional Sequence Generation for Skeleton-Based Action Synthesis	利用卷积序列生成实现基于骨架的动作合成
Onion-Peel Networks for Deep Video Completion	Onion-Peel网络用于深度视频补全
Copy-and-Paste Networks for Deep Video Inpainting	基于复制-粘贴网络的深度视频修补
Content and Style Disentanglement for Artistic Style Transfer	基于内容与风格解构的艺术风格转换
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?	Image2StyleGAN：如何将图像嵌入StyleGAN潜在空间？
Controllable Artistic Text Style Transfer via Shape-Matching GAN	基于形状-匹配GAN的可控艺术文本风格转换
Understanding Generalized Whitening and Coloring Transform for Universal Style Transfer	广义白化与着色变换在通用风格转换中的应用
Learning Implicit Generative Models by Matching Perceptual Features	基于感知特征匹配的隐生成模型学习
Free-Form Image Inpainting With Gated Convolution	基于门控卷积的自由形式图像补全
FiNet: Compatible and Diverse Fashion Image Inpainting	FiNet：兼容的和多样的时尚形象修复
InGAN: Capturing and Retargeting the "DNA" of a Natural Image	InGAN：捕捉并重新定位自然图像的“DNA”
Seeing What a GAN Cannot Generate	看一个GAN不能产生什么
COCO-GAN: Generation by Parts via Conditional Coordinating	COCO-GAN：基于条件配位的分块生成
Neural Turtle Graphics for Modeling City Road Layouts	基于神经海龟图形建模的城市道路规划
Texture Fields: Learning Texture Representations in Function Space	纹理场：在函数空间中学习纹理表示
PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows	PointFlow：基于连续规格化流的三维点云生成
Meta-Sim: Learning to Generate Synthetic Datasets	Meta-Sim：学习生成合成数据集
Specifying Object Attributes and Relations in Interactive Scene Generation	在交互式场景生成中指定对象属性和关系
SinGAN: Learning a Generative Model From a Single Natural Image	SinGAN：从单一自然图像学习生成模型
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research	VaTex：一个用于视频和语言研究的大规模、高质量的多语言数据集
A Graph-Based Framework to Bridge Movies and Synopses	一种基于图的框架实现电影与剧情的桥接
From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason	从字符串到事物：可以读取和推理的支持知识的VQA模型
Counterfactual Critic Multi-Agent Training for Scene Graph Generation	用于场景图生成的反事实批评家多智能体训练
Robust Change Captioning	强大的更改字幕
Attention on Attention for Image Captioning
Dynamic Graph Attention for Referring Expression Comprehension	动态图形注意力在指称表达理解中的应用
Visual Semantic Reasoning for Image-Text Matching	基于视觉语义推理的图-文匹配
Phrase Localization Without Paired Training Examples	无配对训练实例的短语定位
Learning to Assemble Neural Module Tree Networks for Visual Grounding	基于神经模块树网络学习的视觉Grounding
A Fast and Accurate One-Stage Approach to Visual Grounding	一种快速准确的视觉Grounding方法
Zero-Shot Grounding of Objects From Natural Language Queries	基于自然语言查询的对象的零镜头Grounding
Towards Unconstrained End-to-End Text Spotting	朝向无约束的端到端文本定位
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis	场景文本识别模型比较有什么问题？数据集与模型分析
Sparse and Imperceivable Adversarial Attacks	稀疏而难以想象的对抗性攻击
Enhancing Adversarial Example Transferability With an Intermediate Level Attack	使用中级攻击增强对手示例的可转移性
Implicit Surface Representations As Layers in Neural Networks	神经网络层中的隐式曲面表示
A Tour of Convolutional Networks Guided by Linear Interpreters	线性解释引导的卷积网络之旅
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning	小步和大步：深度学习的最小牛顿解
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers	语义对抗攻击：通过参数转换愚弄深度分类器
Hilbert-Based Generative Defense for Adversarial Examples	基于希尔伯特的生成性防御实现对抗例子
On the Efficacy of Knowledge Distillation	论知识蒸馏的功效
Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation	混合域图像翻译的Sym参数化动态推理
Better and Faster: Exponential Loss for Image Patch Matching	更快更好：图像块匹配的指数损失
Physical Adversarial Textures That Fool Visual Object Tracking	物理对抗纹理欺骗视觉对象跟踪
Wasserstein GAN With Quadratic Transport Cost	基于二次传输代价的Wasserstein GAN
Scalable Verified Training for Provably Robust Image Classification	基于可扩展验证训练的可证明鲁棒图像分类
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks	可微软量化：全精度与低比特神经网络的桥接
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information	LogBarrier对抗攻击：决策边界信息的有效利用
Proximal Mean-Field for Neural Network Quantization	基于近场平均场的神经网络量化
Improving Adversarial Robustness via Guided Complement Entropy	利用引导互补熵提高对抗稳健性
A Geometry-Inspired Decision-Based Attack	基于几何启发的决策攻击
Universal Perturbation Attack Against Image Retrieval	图像检索中的普遍扰动攻击
Bayesian Optimized 1-Bit CNNs	贝叶斯优化的1-BitCNNs
Rethinking ImageNet Pre-Training	对ImageNet预训练的再思考
Defending Against Universal Perturbations With Shared Adversarial Training	基于共同对抗性训练的普遍干扰防御
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks	自适应激活阈值：基于动态路由类型行为的卷积神经网络可解释性
XRAI: Better Attributions Through Regions	XRAI：通过区域获得更好的属性
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks	猜测智能：基于有偏抽样的高效黑盒对抗攻击
Mask-Guided Attention Network for Occluded Pedestrian Detection	基于面罩引导注意网络的遮挡行人检测
Spectral Feature Transformation for Person Re-Identification	基于谱特征变换的人再识别
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition	置换不变特征重构实现基于相关感知图像集的图像识别
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization	基于弱监督多尺度属性特定定位的行人属性识别
Correlation Congruence for Knowledge Distillation	基于相关同余的知识蒸馏
Dynamic Curriculum Learning for Imbalanced Data Classification	基于动态课程学习的不平衡数据分类
Video Face Clustering With Unknown Number of Clusters	未知簇数的视频人脸聚类
Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower	目标不匹配对抗攻击：用花查询以检索塔
Fashion++: Minimal Edits for Outfit Improvement	Fashion++：以最小编辑实现服装改进
Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement	基于互增强的半监督行人实例综合与检测
SILCO: Show a Few Images, Localize the Common Object	SILCO：显示一些图像，定位公共对象
A Deep Step Pattern Representation for Multimodal Retinal Image Registration	多模视网膜图像配准的深度阶跃模式表示
Deep Graphical Feature Learning for the Feature Matching Problem	深度图形特征学习解决特征匹配问题
Minimum Delay Object Detection From Video	视频的最小延迟目标检测
Learning With Average Precision: Training Image Retrieval With a Listwise Loss	平均精度学习：基于列表损失的图像检索训练
Learning to Find Common Objects Across Few Image Collections	学习在少数图像集合中查找公共对象
Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection	基于弱对齐交叉模式学习的多光谱行人检测
Deep Self-Learning From Noisy Labels	从嘈杂的标签中深度自我学习
DSConv: Efficient Convolution Operator	DSConv：高效卷积算子
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once	一人一次：通过一次学习多目标对抗网络实现多目标攻击
Explicit Shape Encoding for Real-Time Instance Segmentation	基于显式形状编码的实时实例分割
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things	IMP：用于高精度语义分割的实例掩码投影
Video Instance Segmentation	视频实例分割
Attention Bridging Network for Knowledge Transfer	基于注意力桥接网络的知识转移
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation	基于自监督差分检测的弱监督语义分割
SPGNet: Semantic Prediction Guidance for Scene Parsing	SPGNet：基于语义预测指导的场景分析
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation	门控SCNN：用于语义分割的门控形状CNN
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing	DensePoint：基于密集上下文表示学习的高效点云处理
AMP: Adaptive Masked Proxies for Few-Shot Segmentation	AMP：基于自适应掩蔽代理的少镜头分割
Universal Semi-Supervised Semantic Segmentation	通用半监督语义分割
Accelerate Learning of Deep Hashing With Gradient Attention	利用梯度注意力加速深度散列学习
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval	SVD：一种用于近重复视频检索的大规模短视频数据集
Block Annotation: Better Image Annotation With Sub-Image Decomposition	块注释：使用子图像分解更好的图像注释
Probabilistic Deep Ordinal Regression Based on Gaussian Processes	基于高斯过程的概率深度序数回归
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations	平衡的数据集是不够的：估计和减轻深度图像表现中的性别偏见
Teacher Guided Architecture Search	教师指导的架构搜索
FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second	FACSIMILE：在不到一秒钟的时间内快速准确地扫描图像
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild	深入研究混合标注在野外三维人体复原中的应用
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation	基于骨架分离表示的单目图像人体网格恢复
Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild"	三维漫游：学习从“野外”图像中估计斑马的姿势、形状和纹理
Object-Driven Multi-Layer Scene Decomposition From a Single Image	基于单个图像的对象驱动多层场景分解
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics	占用流：基于粒子动力学的4d重建
Joint Monocular 3D Vehicle Detection and Tracking	单目三维车辆联合检测与跟踪
Fingerspelling Recognition in the Wild With Iterative Visual Attention	基于迭代视觉注意力的野外手指拼写识别
PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling	PointAE：用于三维统计形状和纹理建模的点自动编码器
Multi-Garment Net: Learning to Dress 3D People From Images	多服装网：从图像中学习三维人体着装
Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds	基于点云的骨骼感知三维人体形状重建
AMASS: Archive of Motion Capture As Surface Shapes	AMASS：作为表面形状的运动捕捉存档
Person-in-WiFi: Fine-Grained Person Perception Using WiFi	WIFI中的人：使用WIFI的细粒度的人感知
FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos	FAB：一种鲁棒的运动模糊视频人脸地标检测框架
Attentional Feature-Pair Relation Networks for Accurate Face Recognition	基于注意力特征对关系网络的精确人脸识别
Action Recognition With Spatial-Temporal Discriminative Filter Banks	基于时空判别滤波器组的动作识别
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition	EPIC融合：用于自我中心行为识别的视听时间绑定
Weakly-Supervised Action Localization With Background Modeling	基于背景建模的弱监督动作定位
Grouped Spatial-Temporal Aggregation for Efficient Action Recognition	基于分组时空聚合的动作识别
Temporal Structure Mining for Weakly Supervised Action Detection	弱监督动作检测的时间结构挖掘
Temporal Recurrent Networks for Online Action Detection	用于在线动作检测的时间递归网络
StartNet: Online Detection of Action Start in Untrimmed Videos	StartNet：未剪辑视频中动作开始的在线检测
Video Classification With Channel-Separated Convolutional Networks	基于通道分离卷积网络的视频分类
Predicting the Future: A Jointly Learnt Model for Action Anticipation	预测未来：一个基于共同学习的行动预测模型
Human-Aware Motion Deblurring	人体感知运动去模糊
Fast Video Object Segmentation via Dynamic Targeting Network	基于动态目标网络的视频对象快速分割
Solving Vision Problems via Filtering	通过滤波解决视觉问题
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems	线性反问题中基于GAN的投影实现具有收敛保证的更快恢复
Scoot: A Perceptual Metric for Facial Sketches	Scoot：基于感知测度的面部草图
Learning Filter Basis for Convolutional Neural Network Compression	基于滤波基学习的卷积神经网络压缩
End-to-End Learning of Representations for Asynchronous Event-Based Data	端到端表示学习实现异步基于事件的数据
ERL-Net: Entangled Representation Learning for Single Image De-Raining	ERL网：基于纠缠表示学习的单图像去雨
Perceptual Deep Depth Super-Resolution	感知深度超分辨率
3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera	三维场景图：用于统一语义、三维空间和相机的结构
Floorplan-Jigsaw: Jointly Estimating Scene Layout and Aligning Partial Scans	平面拼图：联合估计场景布局和对齐部分扫描
Enforcing Geometric Constraints of Virtual Normal for Depth Prediction	基于虚拟法向几何约束的深度预测
Deep Contextual Attention for Human-Object Interaction Detection	基于深度上下文注意的人-对象交互检测
Learning Compositional Neural Information Fusion for Human Parsing	用于人类分析的合成神经信息融合学习
Attentional Neural Fields for Crowd Counting	人群计数的注意神经场
Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning	用时空图推理理解人的凝视交流
Controllable Attention for Structured Layered Video Decomposition	基于可控注意的结构化分层视频分解
GANalyze: Toward Visual Definitions of Cognitive Image Properties	认知图像属性的视觉定义
Saliency-Guided Attention Network for Image-Sentence Matching	显著性引导注意力网络在图像-句子匹配中的应用
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval	CAMP：用于文本-图像检索的跨模式自适应消息传递
ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching	ACMM：用于少镜头图像和句子匹配的对齐跨模态存储器
Creativity Inspired Zero-Shot Learning	创意激发零镜头学习
Generating Easy-to-Understand Referring Expressions for Target Identifications	为目标识别生成易于理解的指代表达
Language-Agnostic Visual-Semantic Embeddings	语言不可知的视觉语义嵌入
Adversarial Representation Learning for Text-to-Image Matching	文本-图像匹配中的对抗表示学习
Multi-Modality Latent Interaction Network for Visual Question Answering	视觉问答的多模态潜在交互网络
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters	Key.Net：基于手工特征和CNN过滤器学习的关键点检测
Learning Two-View Correspondences and Geometry Using Order-Aware Network	基于顺序感知网络的两视图对应与几何学习
Learning Meshes for Dense Visual SLAM	稠密视觉SLAM的学习网格
EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association	EM融合：基于概率数据关联的动态对象级SLAM
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation	ClusterSLAM：同时进行刚体聚类和运动估计的SLAM后端
Efficient and Robust Registration on the 3D Special Euclidean Group	三维特殊欧氏群的高效鲁棒配准
Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings	多视图环境下本质矩阵的代数特征及其平均
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis	液体翘曲GAN：一个统一的人体运动模拟、外观传递和新视角合成框架
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes	RelGAN：基于相对属性的多域图像-图像转换
Attribute-Driven Spontaneous Motion in Unpaired Image Translation	非成对图像翻译中的属性驱动自发运动
Everybody Dance Now	现在大家都跳舞
Multimodal Style Transfer via Graph Cuts	基于图割的多模态转移
A Closed-Form Solution to Universal Style Transfer	通用样式转换的一种闭式解法
Progressive Reconstruction of Visual Structure for Image Inpainting	图像修补中视觉结构的渐进重建
Variational Adversarial Active Learning	变分对抗性主动学习	主动学习：让学习算法主动地提出要对哪些数据进行标注
Confidence Regularized Self-Training	基于自信心正则化的自训练
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty	锚损失：基于预测难度的调整损失尺度
Local Aggregation for Unsupervised Learning of Visual Embeddings	基于局部聚集的无监督视觉嵌入学习
PR Product: A Substitute for Inner Product in Neural Networks	PR乘积：神经网络内积的一种代用品
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	CutMix：训练具有局部特征的强分类器的正则化策略
Towards Interpretable Object Detection by Unfolding Latent Structures	基于潜在结构展开的可解释目标检测
Scaling Object Detection by Transferring Classification Weights	基于分类权重转移的分级目标检测
Scale-Aware Trident Networks for Object Detection	基于尺度感知的Trident网络实现目标检测
Object-Aware Instance Labeling for Weakly Supervised Object Detection	基于目标感知实例标记的弱监督目标检测
Generative Modeling for Small-Data Object Detection	小数据目标检测的生成模型
Transductive Learning for Zero-Shot Object Detection	基于导纳学习的零镜头目标检测
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection	基于自训练与对抗背景正则化的无监督域自适应单阶段目标检测
Memory-Based Neighbourhood Embedding for Visual Recognition	基于记忆的邻域嵌入实现视觉识别
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification	自相似分组：一种简单的无监督跨域自适应方法
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification	基于深度强化主动学习的回路中人的人再识别
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification	一种具有自适应注意的双路径模型实现车辆重识别
Bayesian Loss for Crowd Count Estimation With Point Supervision	贝叶斯损失用于基于点监督的人群计数
Learning Spatial Awareness to Improve Crowd Counting	空间感知学习提高人群计数
GradNet: Gradient-Guided Network for Visual Object Tracking	GradNet：基于梯度引导网络的视觉目标跟踪
FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking	FAMNet：基于特征、亲和力和多维分配联合学习的在线多目标跟踪
Learning Discriminative Model Prediction for Tracking	基于判别模型预测学习的跟踪
DynamoNet: Dynamic Action and Motion Network	动态动作与运动网络
SlowFast Networks for Video Recognition	用于视频识别的SlowFast网络
Generative Multi-View Human Action Recognition	生成性多视角人类行为识别
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition	基于多智能体增强学习的帧采样实现有效的未经修剪视频识别
SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition	SCSampler：从视频中抽取显著片段以实现高效的动作识别
Weakly Supervised Energy-Based Learning for Action Segmentation	弱监督基于能量的学习实现动作分割
What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention	你期望什么？以滚动-展开的LSTMs和情态注意预测自我中心行为
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction	PIE：用于行人意图估计和轨迹预测的大规模数据集和模型
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction	STGAT：用于人类轨迹预测的时-空交互建模
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection	特征空间中的运动学习：基于局部一致可变形卷积网络的细粒度动作检测
Dual Attention Matching for Audio-Visual Event Localization	基于双注意匹配的视-听事件定位
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference	基于深度贝叶斯变分推理的不确定性感知的视-听活动识别
Non-Local Recurrent Neural Memory for Supervised Sequence Modeling	基于非局部递归神经记忆的监督序列建模
Temporal Attentive Alignment for Large-Scale Video Domain Adaptation	基于时间注意力对齐的大规模视频域自适应
Action Assessment by Joint Relation Graphs	基于联合关系图的行动评估
Unsupervised Procedure Learning via Joint Dynamic Summarization	基于联合动态摘要的无监督过程学习
ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning	ViSiL：细粒度时-空视频相似度学习
Unsupervised Learning of Landmarks by Descriptor Vector Exchange	基于描述向量交换的无监督地标学习
Learning Compositional Representations for Few-Shot Recognition	基于合成表示学习的少镜头识别
Spectral Regularization for Combating Mode Collapse in GANs	基于谱正则化的GANs抗模式崩溃
Scaling and Benchmarking Self-Supervised Visual Representation Learning	自监督视觉表示学习的标度与标杆
Learning an Effective Equivariant 3D Descriptor Without Supervision	无监督学习一种有效的等变三维描述子
KPConv: Flexible and Deformable Convolution for Point Clouds	KPConv：用于点云的柔性可变形卷积
Neural Inter-Frame Compression for Video Coding	基于神经帧间压缩的视频编码
Task2Vec: Task Embedding for Meta-Learning	Task2Vec：基于任务嵌入的元学习
Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding	图嵌入实现基于高斯混合变分自编码的深度聚类
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling	软三元损失：无三元抽样的深度度量学习
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision	一种基于粗监督的弱监督精细标记分类器
Gaussian Affinity for Max-Margin Class Imbalanced Learning	基于高斯亲合性的最大边缘类非平衡学习
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism	AttPool：基于注意力机制的图形卷积网络层次特征表示
Deep Metric Learning With Tuplet Margin Loss	具有三元边缘损失的深度度量学习
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation	基于标准化Wasserstein的混合分布在对抗学习和域自适应中的应用
Fast and Practical Neural Architecture Search	快速实用的神经网络架构搜索
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning	基于对称图卷积自动编码器的无监督图表示学习
Deep Elastic Networks With Model Selection for Multi-Task Learning	基于模型选择的深度弹性网络实现多任务学习
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings	基于HORDE的度量学习：深度嵌入的高阶正则化
Adversarial Learning With Margin-Based Triplet Embedding Regularization	基于边缘的三元嵌入正则化实现对抗学习
Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints	基于学习几何软约束的多视图同时实例检测
CenterNet: Keypoint Triplets for Object Detection	CenterNet:基于关键点三元组的对象检测
Online Hyper-Parameter Learning for Auto-Augmentation Strategy	基于在线超参数学习的自增强策略
DANet: Divergent Activation for Weakly Supervised Object Localization	DANet：基于发散激活的弱监督目标定位
Selective Sparse Sampling for Fine-Grained Image Recognition	基于选择性稀疏采样的细粒度图像识别
Dynamic Anchor Feature Selection for Single-Shot Object Detection	基于动态锚特征选择的单镜头目标检测
Incremental Learning Using Conditional Adversarial Networks	基于条件对抗网络的增量学习
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks	双边对抗性训练：快速训练更强大的抗对抗性攻击模型
View Confusion Feature Learning for Person Re-Identification	基于视图混淆特征学习的人再识别
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification	Auto-FPN：自动网络体系结构自适应实现超越分类的目标检测
PARN: Position-Aware Relation Networks for Few-Shot Learning	PARN:基于位置感知关系网络的少镜头学习
Multi-Adversarial Faster-RCNN for Unrestricted Object Detection	基于多对抗Faster-RCNN的无限制目标检测
Object Guided External Memory Network for Video Object Detection	基于目标引导外存网络的视频目标检测
An Empirical Study of Spatial Attention Mechanisms in Deep Networks	深度网络中空间注意机制的实证研究
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning	零镜头学习中基于属性注意的语义消歧
CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising	CIIDefence：通过融合特定类别的图像修复和图像去噪来战胜对抗性攻击
ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices	ThunderNet：面向移动设备的实时通用目标检测
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning	双重学生：打破教师在半监督学习中的局限
MVP Matching: A Maximum-Value Perfect Matching for Mining Hard Samples, With Application to Person Re-Identification	MVP匹配：挖掘难样本的极大值完全匹配方法及其在人再识别中的应用
Adaptive Context Network for Scene Parsing	用于场景分析的自适应上下文网络
Constructing Self-Motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach	基于自我激励金字塔课程的跨域语义分割：一种非对抗性方法	课程学习：基于局部分布自我激励：基于潜变量本文将两种方式结合起来，并结合金字塔技术，实现域自适应的语义分割
SparseMask: Differentiable Connectivity Learning for Dense Image Prediction	SparseMask：用于稠密图像预测的可微连通学习
Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation	基于重要性感知信息Bottleneck的域自适应语义分割	基于GAN的域自适应语义分割的改进，对潜变量进行重要性感知的限制（如图2,3）
Relational Attention Network for Crowd Counting	基于关系注意力网络的人群计数
ACFNet: Attentional Class Feature Network for Semantic Segmentation	ACFNet：基于注意力类特征网络的语义分割	一种利用类别特征进行语义分割refine的方法，如图2,3。在粗粒度的语义分割基础上，提取不同类别的特征，进一步由不同类别的特征，对骨干网提出的特征进行Attention，并在此基础上refine
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation	基于web视频活动区域帧间聚合的弱监督语义分割
Boundary-Aware Feature Propagation for Scene Segmentation	基于边界感知特征传播的场景分割
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation	基于GAN的数据增强的自组织在域自适应语义分割中的应用
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data	从视觉数据解释目标检测和6d姿态的模糊性
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving	基于彩色嵌入三维重建的单目三维物体精确检测在自动驾驶的应用
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation	单目三维行人定位及不确定性估计
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks	基于双网络的视频无监督高分辨率深度学习
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition	贝叶斯图卷积LSTM实现基于骨架的动作识别
DeCaFA: Deep Convolutional Cascade for Face Alignment in the Wild	DeCaFa：基于深度卷积级联的野外人脸定位
Probabilistic Face Embeddings	概率人脸嵌入
Gaze360: Physically Unconstrained Gaze Estimation in the Wild	Gaze360：野外自然无约束凝视估计
Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning	基于摄像机感知相似一致性学习的无监督人再识别
Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks	基于GAN的单目注视重定向
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos	动态核蒸馏在视频位姿估计中的应用
Single-Stage Multi-Person Pose Machines	单级多人位姿机
SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning	So-HandNet：基于自组织网络的半监督三维手姿态估计
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression	利用热图回归实现基于Wing损失的鲁棒人脸对齐
Single-Network Whole-Body Pose Estimation	单网络全身姿态估计
Face Alignment With Kernel Density Deep Neural Network	基于核密度深度神经网络的人脸对齐
Spatiotemporal Feature Residual Propagation for Action Prediction	基于时空特征残差传播的动作预测
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos	从这里来的身份，从那里来的姿势：使用无标签视频的自监督分离和对象生成
Relation Distillation Networks for Video Object Detection	基于关系蒸馏网络的视频对象检测
Video Compression With Rate-Distortion Autoencoders	基于率失真自编码器的视频压缩
Non-Local ConvLSTM for Video Compression Artifact Reduction	基于非局部ConvLSTM的视频压缩伪影减少
Self-Supervised Moving Vehicle Tracking With Stereo Sound	基于立体声的自监督运动车辆跟踪
Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera	单目视频中带几何约束的自监督学习：连接流、深度和摄像机
Learning Temporal Action Proposals With Fewer Labels	用较少的标签学习时域行动建议
TSM: Temporal Shift Module for Efficient Video Understanding	TSM：基于时域转换模块的高效视频理解
Graph Convolutional Networks for Temporal Action Localization	基于图卷积网络的时域动作定位
Fast Object Detection in Compressed Video	压缩视频中的快速目标检测
Predicting 3D Human Dynamics From Video	视频的三维人体动力学预测
Imitation Learning for Human Pose Prediction	基于模拟学习的人体姿态预测
Human Motion Prediction via Spatio-Temporal Inpainting	基于时空修复的人体运动预测
Structured Prediction Helps 3D Human Motion Modelling	结构化预测有助于三维人体运动建模
Learning Shape Templates With Structured Implicit Functions	基于结构化隐函数的形状模板学习
CompenNet++: End-to-End Full Projector Compensation	CompenNet++：端到端的完整投影仪补偿
Deep Parametric Indoor Lighting Estimation	深度参数化室内照明估算
FSGAN: Subject Agnostic Face Swapping and Reenactment	FSGAN：主体不可知的人脸交换和重生成
Deep Single-Image Portrait Relighting	深度单像人像Relighting
PU-GAN: A Point Cloud Upsampling Adversarial Network	PU-GAN：一种点云上采样对抗网络
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation	神经三维变形模型：螺旋卷积网络在三维形状表示学习与生成中的应用
Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation	显著性检测与弱监督语义分割的联合学习	弱监督语义分割：输入两类训练集（像素级显著性训练集和类别级分类训练集），训练后的像素级语义分割
Towards High-Resolution Salient Object Detection	高分辨率显著目标检测
Event-Based Motion Segmentation by Motion Compensation	利用运动补偿实现基于事件的运动分割
Depth-Induced Multi-Scale Recurrent Attention Network for Saliency Detection	基于深度诱导多尺度递归注意力网络的显著性检测
Stacked Cross Refinement Network for Edge-Aware Salient Object Detection	基于叠层交叉求精网络的边缘感知显著目标检测
Motion Guided Attention for Video Salient Object Detection	基于运动引导注意力的视频显著目标检测
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels	基于伪标签的半监督视频显著目标检测
Joint Learning of Semantic Alignment and Object Landmark Detection	语义对齐与目标标志检测的联合学习
RainFlow: Optical Flow Under Rain Streaks and Rain Veiling Effect	雨流：雨带和雨幕效应下的光流
GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing	GridDehazeNet：基于注意力的多尺度图像去雾网络
Learning to See Moving Objects in the Dark	学会在黑暗中看到移动的物体
SegSort: Segmentation by Discriminative Sorting of Segments	SegSort：通过判别性分段排序来分割
What Synthesis Is Missing: Depth Adaptation Integrated With Weak Supervision for Indoor Scene Parsing	合成缺少什么：深度自适应与弱监督相结合的室内场景分析
AdaptIS: Adaptive Instance Selection Network	AdaptIS：自适应实例选择网络
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation	DADA：基于深度感知域自适应的语义分割
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation	基于引导课程模型自适应和不确定性感知评价的夜间图像语义分割	课程学习、自适应、夜间图像的语义分割
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation	SceneGraphNet：基于神经信息传递的三维室内场景增强
SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes	空中场景的精细语义理解
Transferable Representation Learning in Vision-and-Language Navigation	基于可迁移表示学习的视觉与语言导航
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings	基于共享多模式嵌入的无监督图像标注
ViCo: Word Embeddings From Visual Co-Occurrences	由视觉共现实现词嵌入
Seq-SG2SL: Inferring Semantic Layout From Scene Graph Through Sequence to Sequence Learning	Seq-SG2SL：通过序列到序列学习从场景图推断语义布局
U-CAM: Visual Explanation Using Uncertainty Based Class Activation Maps	U-CAM：基于不确定性的类激活图实现可视化解释
See-Through-Text Grouping for Referring Image Segmentation	基于透明文本分组的参考图像分割
VideoBERT: A Joint Model for Video and Language Representation Learning	VideoBERT：一种视频和语言表示学习的联合模型
Language Features Matter: Effective Language Representations for Vision-Language Tasks	语言特征的重要性：视觉-语言任务的有效语言表示
Semantic Stereo Matching With Pyramid Cost Volumes	基于金字塔CostVolume的语义立体匹配	1. 采用语义分割提升立体匹配 2. 采用不同尺度的CostVolume
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos	基于GAN的空间对应：单目视频的学习深度
Learning Relationships for Multi-View 3D Object Recognition	基于关系学习的多视图三维目标识别
View N-Gram Network for 3D Object Retrieval	基于视图N-Gram网络的三维对象检索
Expert Sample Consensus Applied to Camera Re-Localization	专家样本一致性在相机再定位中的应用
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data	基于匹配的语义部分检测：学习从有限的训练数据推广到新的视点
Dynamic Points Agglomeration for Hierarchical Point Sets Learning	基于动态点聚集的层次点集学习
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints	将假图像归因于GANs：GAN指纹的学习与分析
Dual Adversarial Inference for Text-to-Image Synthesis	基于双对抗推理的文本到图像合成
View-LSTM: Novel-View Video Synthesis Through View Decomposition	视图LSTM：一种新的基于视图分解的新视图视频合成方法
HoloGAN: Unsupervised Learning of 3D Representations From Natural Images	HoloGAN：自然图像三维表示的无监督学习
Unpaired Image-to-Speech Synthesis With Multimodal Information Bottleneck	基于多模态信息Bottleneck的非配对图像-语音合成
Improved Conditional VRNNs for Video Prediction	基于条件VRNNs的视频预测改进
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery	可视化看不见：遮挡车辆分割与恢复
Learning Single Camera Depth Estimation Using Dual-Pixels	利用双像素学习单摄像机深度估计
Domain-Adaptive Single-View 3D Reconstruction	域自适应单视图三维重建
Transformable Bottleneck Networks	可转换Bottleneck网络
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments	RIO:在变化的室内环境中3D对象实例的重新定位
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation	Pix2Pose：基于逐像素坐标回归的6D姿态估计
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation	CDPN：基于坐标的解纠缠位姿网络实现实时基于RGB的六自由度目标位姿估计
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion	C3DPO：基于标准三维位姿网络的非刚性Structure From Motion
Learning to Reconstruct 3D Manhattan Wireframes From a Single Image	学习从单个图像重建曼哈顿三维线框
Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning	软光栅化器：一种可微渲染器实现基于图像的三维推理
Learnable Triangulation of Human Pose	人体姿势三角剖分学习
xR-EgoPose: Egocentric 3D Human Pose From an HMD Camera	xR-EgoPose:HMD相机的以自我为中心的3D人体姿势
DeepHuman: 3D Human Reconstruction From a Single Image	DeepHuman：从单个图像重建三维人体
A Neural Network for Detailed Human Depth Estimation From a Single Image	单幅图像的人体深度精细估计神经网络
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare	DenseRaC：基于稠密渲染和比较的联合三维姿态和形状估计
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts	并非所有的部分都是平等地创建：通过建立身体部分的双向依赖关系来估计三维姿势
Extreme View Synthesis	极限视图合成
View Independent Generative Adversarial Network for Novel View Synthesis	视图无关GAN在新视图合成中的应用
Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion	基于级联上下文金字塔的全分辨率三维语义场景补全
View-Consistent 4D Light Field Superpixel Segmentation	视图一致的4D光场超像素分割
GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition	GLoSH：用于内在图像分解的全局-局部球谐函数
Surface Normals and Shape From Water	水面法向量和形状
Restoration of Non-Rigidly Distorted Underwater Images Using a Combination of Compressive Sensing and Local Polynomial Image Representations	基于压缩传感和局部多项式图像表示组合的非刚性畸变水下图像复原
Learning Perspective Undistortion of Portraits	学习肖像画去失真视角
Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images	高复用无透镜图像的真实感重建
Unconstrained Motion Deblurring for Dual-Lens Cameras	双镜头相机的无约束运动去模糊
Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference	处理多TOF相机干扰的随机曝光编码
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator	一般非视线成像算子的卷积逼近
Agile Depth Sensing Using Triangulation Light Curtains	基于三角光幕的快速深度传感
Asynchronous Single-Photon 3D Imaging	异步单光子三维成像
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation	基于无监督姿势分离和自适应的跨数据集人再识别
A Learned Representation for Scalable Vector Graphics	基于表示学习的可伸缩矢量图形
ELF: Embedded Localisation of Features in Pre-Trained CNN	ELF：在预先训练的CNN中嵌入特征定位
Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking	基于联合组特征选择和判别滤波器学习的鲁棒视觉目标跟踪
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization	明智采样：基于Top-K精度优化的深度图像嵌入
On the Global Optima of Kernelized Adversarial Representation Learning	核化对抗表征学习的全局优化
Addressing Model Vulnerability to Distributional Shifts Over Image Transformation Sets	解决图像转换集上分布移位的模型脆弱性
Attract or Distract: Exploit the Margin of Open Set	吸引或分散注意力：探索开放集的边缘
MIC: Mining Interclass Characteristics for Improved Metric Learning	MIC：挖掘类间特征以改进度量学习
Self-Supervised Representation Learning via Neighborhood-Relational Encoding	基于邻域关系编码的自监督表示学习
AWSD: Adaptive Weighted Spatiotemporal Distillation for Video Representation	自适应加权时空蒸馏在视频表示中的应用
Bilinear Attention Networks for Person Retrieval	用于人检索的双线性注意网络
Discriminative Feature Learning With Consistent Attention Regularization for Person Re-Identification	基于一致注意正则化的判别特征学习用于人再识别
Semi-Supervised Domain Adaptation via Minimax Entropy	基于极大极小熵的半监督域自适应
Boosting Few-Shot Visual Learning With Self-Supervision	自我监督促进少镜头视觉学习
FDA: Feature Disruptive Attack	FDA：功能破坏性攻击
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification	一种新的无监督摄像机感知域自适应框架实现人再识别
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification	恢复与识别：一种生成性双重模型实现交叉分辨人再识别
Cross-View Policy Learning for Street Navigation	用于街道导航的交叉视野策略学习
Learning Across Tasks and Domains	跨任务、跨领域学习
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points	EMPNet：基于嵌入式存储点的神经定位与映射
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations	AVT：自编码变分变换实现变换等变表示的无监督学习
Composite Shape Modeling via Latent Space Factorization	基于潜在空间分解的复合形状建模
Deep Comprehensive Correlation Mining for Image Clustering	基于深度综合相关挖掘的图像聚类
Unsupervised Multi-Task Feature Learning on Point Clouds	点云上的无监督多任务特征学习
Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering	基于互反多层子空间学习的多视图聚类
Geometric Disentanglement for Generative Latent Shape Models	基于几何解缠的生成性潜在形状模型
GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions	GAN-Tree：一种多模态数据分布的增量学习分层生成框架
GODS: Generalized One-Class Discriminative Subspaces for Anomaly Detection	GODs:广义一类判别子空间用于异常检测
Neighborhood Preserving Hashing for Scalable Video Retrieval	可分级视频检索中的邻域保持哈希算法
Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification	无监督跨域人再识别的渐进增强自训练
SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects	SCRDet：对小的、杂乱的和旋转的物体进行更稳健的检测
Cross-X Learning for Fine-Grained Visual Categorization	基于Cross-X学习的细粒度视觉分类
Maximum-Margin Hamming Hashing	最大边缘汉明散列
Conservative Wasserstein Training for Pose Estimation	基于保守Wasserstein训练的姿势估计
Learning to Rank Proposals for Object Detection	基于排序建议学习的目标检测
Vehicle Re-Identification With Viewpoint-Aware Metric Learning	基于视点感知度量学习的车辆再识别
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection	WSPD2：基于自下而上和自上而下对象蒸馏学习的弱监督对象检测
Localization of Deep Inpainting Using High-Pass Fully Convolutional Network	基于高通全卷积网络的深度修补定位
Clustered Object Detection in Aerial Images	航空图像中的簇状目标检测
Unsupervised Graph Association for Person Re-Identification	基于无监督图关联的人再识别
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization	基于粒度特定专家混合学习的细粒度分类
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns	advPattern：通过对抗转换模式实现对人再识别进行物理世界攻击
ABD-Net: Attentive but Diverse Person Re-Identification	ABD-Net：专注但多元的人再识别
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer	从开集到闭集：基于空间分治的对象计数
Towards Precise End-to-End Weakly Supervised Object Detection Network	精确的端到端弱监督目标检测网络
Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting	学习缩放：生成用于人群计数的多极归一化密度图
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss	具有难样本重加权三元损失的地-空图像地理定位
Learning to Discover Novel Visual Categories via Deep Transfer Clustering	通过深度转移聚类学习发现新的视觉类别
AM-LFS: AutoML for Loss Function Search	AM-LFS：用于损失函数搜索的AutoML
Few-Shot Object Detection via Feature Reweighting	基于特征重加权的少镜头目标检测
Objects365: A Large-Scale, High-Quality Dataset for Object Detection	Objects365：用于目标检测的大规模高质量数据集
Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network	基于像素聚集网络的任意形状文本检测
Foreground-Aware Pyramid Reconstruction for Alignment-Free Occluded Person Re-Identification	基于前景感知金字塔重建的无对齐遮挡人再识别
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning	收集和选择：用于少镜头学习的语义对齐度量学习
Bayesian Adaptive Superpixel Segmentation	贝叶斯自适应超像素分割
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing	CapsuleVOS：基于胶囊路由的半监督视频对象分割
BAE-NET: Branched Autoencoder for Shape Co-Segmentation	BAE-NET：基于分支自动编码器的形状共分割
VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation	VV网：基于组卷积的体素VAE网用于点云分割
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images	漏检与虚警：红外图像小目标分割的对抗学习
Group-Wise Deep Object Co-Segmentation With Co-Attention Recurrent Neural Network	基于共注意力递归神经网络的组深度目标共分割
Human Attention in Image Captioning: Dataset and Analysis	图像标注中的人注意：数据集与分析
Variational Uncalibrated Photometric Stereo Under General Lighting	一般光照下变分非定标光度立体
SPLINE-Net: Sparse Photometric Stereo Through Lighting Interpolation and Normal Estimation Networks	SPLINE网：通过光插值和法向估计网络的稀疏光度立体
Hyperspectral Image Reconstruction Using Deep External and Internal Learning	基于内、外深度学习的高光谱图像重建
Gravity as a Reference for Estimating a Person's Height From Video	参考重力实现视频中估计身高的
Shadow Removal via Shadow Image Decomposition	基于阴影图像分解的阴影去除
OperatorNet: Recovering 3D Shapes From Difference Operators	OperatorNet:从差分运算符恢复三维形状
Neural Inverse Rendering of an Indoor Scene From a Single Image	单幅图像的室内场景神经逆绘制
ForkNet: Multi-Branch Volumetric Semantic Completion From a Single Depth Image	ForkNet：单深度图像的多分支体积语义补全
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments	室内移动：挑战环境下的无监督视频深度学习
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion	基于GraphX卷积的二维到三维转换中点云变形
FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image	FrameNet：从单个RGB图像中学习三维曲面的局部规范框架
Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense	Holistic++场景理解：单视图三维整体场景解析和基于人-物交互和物理常识的人体姿态估计
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding	MMAct：用于跨模态人类行为理解的大规模数据集
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization	HACS：用于识别和时间定位的人类动作片段和分割数据集
3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization	3C-Net：基于类别计数和中心损失的弱监督动作定位
Grounded Human-Object Interaction Hotspots From Video	视频中固定的人-机交互热点
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition With CNNs	利用幻觉IDT描述子和I3D光流特征实现基于CNNs的动作识别
Learning to Paint With Model-Based Deep Reinforcement Learning	基于模型的深度强化学习在绘画中的应用
Neural Re-Simulation for Generating Bounces in Single Images	基于神经网络再模拟的单幅图像反弹生成
Deep Appearance Maps	深度外观图
GarNet: A Two-Stream Network for Fast and Accurate 3D Cloth Draping	GarNet：一种快速准确的三维布料覆盖的双流网络
Joint Embedding of 3D Scan and CAD Objects	三维扫描与CAD对象的联合嵌入
CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition	CompoNet：通过部分合成和组合学习生成看不见的部分
DDSL: Deep Differentiable Simplex Layer for Learning Geometric Signals	DDSL：基于深度可微单纯形层的几何信号学习
EGNet: Edge Guidance Network for Salient Object Detection	EGNet：用于显著目标检测的边缘引导网络
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling	SID4VAM：用于视觉注意建模的合成图像基准数据集
Two-Stream Action Recognition-Oriented Video Super-Resolution	面向双流动作识别的视频超分辨率
Where Is My Mirror?	我的镜子在哪里？
Disentangled Image Matting	分离图像抠图
Guided Super-Resolution As Pixel-to-Pixel Transformation	通过像素到像素转换引导超分辨率
Deep Learning for Light Field Saliency Detection	光场显著性检测的深度学习
Optimizing the F-Measure for Threshold-Free Salient Object Detection	基于F-测度优化的无阈值显著目标检测
Image Inpainting With Learnable Bidirectional Attention Maps	基于可学习双向注意图的图像修复
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images	通过对原始图像序列的微调实现联合去马赛克和去噪
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better	BeblurGAN-v2：去模糊（数量级）更快更好
Reflective Decoding Network for Image Captioning	基于反射解码网络的图像标注
Joint Optimization for Cooperative Image Captioning	协同图像标注的联合优化
Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning	看、听、说：多模弱监督密集事件标注
Joint Syntax Representation Learning and Visual Cue Translation for Video Captioning	基于联合句法表示学习与视觉线索翻译的视频标注
Entangled Transformer for Image Captioning	基于纠缠变换的图像标注
Shapeglot: Learning Language for Shape Differentiation	Shapeglot：基于语言学习的形态分化
nocaps: novel object captioning at scale	nocaps：尺度上的新对象标注
Fully Convolutional Geometric Features	完全卷积几何特征
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation	基于局部RGB-CAD的对应关系学习的目标姿态估计
Depth From Videos in the Wild: Unsupervised Monocular Depth Learning From Unknown Cameras	野外视频的深度：未知摄像机的无监督单目深度学习
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching	OmniMVS：全方位立体匹配的端到端学习	多视角的立体匹配
On the Over-Smoothing Problem of CNN Based Disparity Estimation	基于CNN的视差估计的过平滑问题
Disentangling Propagation and Generation for Video Prediction	视频预测的分离传播与生成
Guided Image-to-Image Translation With Bi-Directional Feature Transformation	基于双向特征变换的图像-图像的转换
Towards Multi-Pose Guided Virtual Try-On Network	面向多姿态引导的虚拟Try-On网络
Photorealistic Style Transfer via Wavelet Transforms	基于小波变换的真实感风格转换
Personalized Fashion Design	个性化服装设计
Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss	Tag2Pix：使用带有SECat和Changing损失的文本标记进行线条艺术着色
Free-Form Video Inpainting With 3D Gated Convolution and Temporal PatchGAN	基于三维门控卷积和时域PatchGAN的自由形式视频修补
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting	TextDragon：用于任意形状文本定位的端到端框架
Chinese Street View Text: Large-Scale Chinese Text Reading With Partially Supervised Learning	中文街景文本：基于部分监督学习的大规模中文文本阅读
Deep Floor Plan Recognition Using a Multi-Task Network With Room-Boundary-Guided Attention	房间边界引导注意的多任务网络实现深度楼层平面识别
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition	GA-DAN:用于场景文本检测和识别的几何感知域自适应网络
Large-Scale Tag-Based Font Retrieval With Generative Feature Learning	基于生成特征学习的大规模标签字体检索
Convolutional Character Networks	卷积字符网络
Geometry Normalization Networks for Accurate Scene Text Detection	用于精确场景文本检测的几何规范化网络
Symmetry-Constrained Rectification Network for Scene Text Recognition	对称约束校正网络在场景文本识别中的应用
YOLACT: Real-Time Instance Segmentation	YOLACT：实时实例分割	见图2，先分割出对象BB，再进行像素级实例分割
Expectation-Maximization Attention Networks for Semantic Segmentation	基于期望最大化注意力网络的语义分割	如图2，将EM算法的思想和迭代过程，嵌入到深度网络中，目的是替代自监督Attention过程（无需访问所有数据，较Non-Local更为灵活，且可以提升速度）
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness	基于联合边界语义感知的多类部分解析
Explaining Neural Networks Semantically and Quantitatively	神经网络的语义和定量地解释
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment	PANet：基于原型对齐的少镜头图像语义分割
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors	ShapeMask：通过精化形状先验学习分割新对象
Sequence Level Semantics Aggregation for Video Object Detection	基于序列级语义聚合的视频对象检测
Video Object Segmentation Using Space-Time Memory Networks	基于时空存储网络的视频对象分割
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks	基于注意力图神经网络的零镜头视频对象分割
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences	MeteorNet：动态三维点云序列的深度学习
3D Instance Segmentation via Multi-Task Metric Learning	基于多任务度量学习的三维实例分割
DeepGCNs: Can GCNs Go As Deep As CNNs?	DeepGCN：GCN能像CNN一样深吗？
Deep Hough Voting for 3D Object Detection in Point Clouds	点云中基于深度Hough投票的三维目标检测
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection	M3D-RPN：用于目标检测的单目3D区域建议网络
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences	semanticKITTI：用于激光雷达序列语义场景理解的数据集
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving	WoodScape：一个用于自动驾驶的多任务、多摄像机鱼眼数据集
Scalable Place Recognition Under Appearance Change for Autonomous Driving	面向自主驾驶的外观变化下的可扩展位置识别
Exploring the Limitations of Behavior Cloning for Autonomous Driving	探索在自主驾驶中行为克隆的局限性
Habitat: A Platform for Embodied AI Research	Habitat：体现人工智能研究的平台
Towards Interpretable Face Recognition	面向可解释的人脸识别
Co-Mining: Deep Face Recognition With Noisy Labels	联合挖掘：带噪声标签的深度人脸识别
Few-Shot Adaptive Gaze Estimation	少镜头自适应注视估计
Live Face De-Identification in Video	视频中的实时人脸反识别
Face Video Deblurring Using 3D Facial Priors	基于三维人脸先验的视频人脸去模糊
Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer	基于端到端形状保持域转移的半监督单目三维人脸重建
3D Face Modeling From Diverse Raw Scan Data	基于多样的原始扫描数据的三维人脸建模
A Decoupled 3D Facial Shape Model by Adversarial Training	一种基于对抗训练的去耦三维人脸形状模型
Photo-Realistic Facial Details Synthesis From Single Image	基于单幅图像的真实感人脸细节合成
S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals	S2GAN：在各个年龄段共享老化因素，在个人间共享老化趋势
PuppetGAN: Cross-Domain Image Manipulation by Demonstration	PuppetGAN:基于演示的跨域图像操作
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models	真实神经说话头部模型的少镜头对抗学习
Pose-Aware Multi-Level Feature Network for Human Object Interaction Detection	基于位姿感知的多层次特征网络的人机交互检测
TRB: A Novel Triplet Representation for Understanding 2D Human Body	TRB：一种新的三元表示实现二维人体的理解
Learning Trajectory Dependencies for Human Motion Prediction	用于人体运动预测的轨迹依赖学习
Cross-Domain Adaptation for Animal Pose Estimation	基于跨域自适应的动物姿态估计
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection	基于噪声容限集成RCNN的半监督目标检测
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy	基于Maximum Classifier差异的无监督分布外检测
SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification	SBSGAN：基于域间背景漂移抑制的人再识别
Enriched Feature Guided Refinement Network for Object Detection	基于丰富特征引导细化网络的目标检测
Deep Meta Metric Learning	深度元测量学习
Discriminative Feature Transformation for Occluded Pedestrian Detection	基于判别特征变换的遮挡行人检测
Contextual Attention for Hand Detection in the Wild	上下文注意在野外手部检测中的应用
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning	元R-CNN：面向一般解算器的实例级少镜头学习
Pyramid Graph Networks With Connection Attentions for Region-Based One-Shot Semantic Segmentation	基于连接注意的金字塔图网络实现基于区域的单镜头语义分割
Presence-Only Geographical Priors for Fine-Grained Image Classification	用于细粒度图像分类的仅存在地理先验
POD: Practical Object Detection With Scale-Sensitive Network	基于尺度敏感网络的实用目标检测
Human Uncertainty Makes Classification More Robust	人类的不确定性使得分类更加可靠
FCOS: Fully Convolutional One-Stage Object Detection	全卷积单级目标检测
Self-Critical Attention Learning for Person Re-Identification	自我批判性注意力学习用于人再识别
Temporal Knowledge Propagation for Image-to-Video Person Re-Identification	基于时间知识传播的图像-视频人再识别
RepPoints: Point Set Representation for Object Detection	RepPoints：用于目标检测的点集表示
SegEQA: Video Segmentation Based Visual Attention for Embodied Question Answering	SegEQA：一种基于视频分割的视觉注意力在具体问答中的应用
No-Frills Human-Object Interaction Detection: Factorization, Layout Encodings, and Training Techniques	无装饰的人机交互检测：因子分解、布局编码和训练技术
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection	Cap2Det：学习增强弱字幕监控以实现目标检测
No Fear of the Dark: Image Retrieval Under Varying Illumination Conditions	不怕黑暗：不同光照条件下的图像检索
Hierarchical Shot Detector	分层镜头检测器
Few-Shot Learning With Global Class Representations	基于全局类表示的少镜头学习
Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection	更好跟随，跟随更好：小目标检测中特征超分辨率的精确监控
Weakly Supervised Object Detection With Segmentation Collaboration	基于分割协作的弱监督目标检测
AutoFocus: Efficient Multi-Scale Inference	自动聚焦：有效的多尺度推理
Leveraging Long-Range Temporal Relationships Between Proposals for Video Object Detection	基于方案之间的长范围时间关系的视频对象检测
Transferable Contrastive Network for Generalized Zero-Shot Learning	基于可转移对比网络的广义零镜头学习
Fast Point R-CNN	快速点R-CNN
Mesh R-CNN	网状R-CNN
Deep Supervised Hashing With Anchor Graph	基于锚图的深度监督哈希算法
Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes	11k类别检测：无细粒度包围盒的大规模目标检测
Re-ID Driven Localization Refinement for Person Search	再识别驱动的定位精化实现人搜索
Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost	基于压缩和次线性存储代价的序列数据分层编码
C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection	C-MIDN：带分割指导的耦合多实例检测网络实现弱监督目标检测
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning	基于交替反向传播的特征-特征转换学习实现零镜头学习
Deep Constrained Dominant Sets for Person Re-Identification	用于人再识别的深度约束支配集
Invariant Information Clustering for Unsupervised Image Classification and Segmentation	基于不变信息聚类的无监督图像分类与分割
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering	子空间结构感知谱聚类在鲁棒子空间聚类中的应用
Order-Preserving Wasserstein Discriminant Analysis	保序Wasserstein判别分析
LayoutVAE: Stochastic Scene Layout Generation From a Label Set	LayoutVAE：从标签集生成随机场景布局
Robust Variational Bayesian Point Set Registration	鲁棒变分贝叶斯点集配准
Is an Affine Constraint Needed for Affine Subspace Clustering?	仿射子空间聚类需要仿射约束吗？
Meta-Learning to Detect Rare Objects	检测稀有物体的元学习
New Convex Relaxations for MRF Inference With Unknown Graphs	新凸松弛实现未知图MRF推理
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation	基于教师的聚类对齐实现无监督域自适应
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction	概率轨迹预测上下文中的变化损失分析
Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks	基于拓扑修正网络的单一RGB图像深度网格重建
UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images	UprightNet：基于单帧图像的几何感知摄像机方位估计
Escaping Plato's Cave: 3D Shape From Adversarial Rendering	逃离柏拉图的洞穴：基于对抗性渲染的三维形态
Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Module	基于深度端到端对齐与细化的Time-of-Flight RGB-D模块
GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images	GEOBIT：一种对RGB-D图像非刚性变形保持不变的基于测地线的二值描述子
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark	彩色和深度视觉目标跟踪数据集与基准
Learning Joint 2D-3D Representations for Depth Completion	基于二维-三维联合表示学习的深度补全
Make a Face: Towards Arbitrary High Fidelity Face Manipulation	做一张脸：朝向任意高保真的脸操作
M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis	M2FPA：一个用于面部姿势分析的多偏航多俯仰高质量数据集和基准
Fair Loss: Margin-Aware Reinforcement Learning for Deep Face Recognition	公平损失：面向深度人脸识别的边缘感知强化学习
Face De-Occlusion Using 3D Morphable Model and Generative Adversarial Network	基于三维变形模型和GAN的人脸去遮挡
Detecting Photoshopped Faces by Scripting Photoshop	用photoshop脚本检测photoshop人脸
Ego-Pose Estimation and Forecasting As Real-Time PD Control	作为实时PD控制中的自位姿估计与预测
End-to-End Learning for Graph Decomposition	图分解的端到端学习
Laplace Landmark Localization	拉普拉斯地标定位
Through-Wall Human Mesh Recovery Using Radio Signals	利用无线电信号进行穿墙人体网格恢复
Discriminatively Learned Convex Models for Set Based Face Recognition	凸模型判别学习实现基于集的人脸识别
Camera Distance-Aware Top-Down Approach for 3D Multi-Person Pose Estimation From a Single RGB Image	单一RGB图像中摄像机距离感知自顶向下方法实现三维多人姿态估计
Context-Aware Emotion Recognition Networks	基于上下文感知网络的情感识别
Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation	基于分离的聚合：基于半监督风格平移的人脸标志检测增强
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces	基于合成图像和连续标签空间部分对抗域自适应的深部头部姿态估计
Flare in Interference-Based Hyperspectral Cameras	基于干涉的高光谱相机中的耀斑
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery	基于维数-判别低秩张量恢复的计算高光谱成像
Deep Optics for Monocular Depth Estimation and 3D Object Detection	基于深度光学的单目深度估计和三维目标检测
Physics-Based Rendering for Improving Robustness to Rain	基于物理的绘制提高了对雨水的鲁棒性
ARGAN: Attentive Recurrent Generative Adversarial Network for Shadow Detection and Removal	ARGAN：用于阴影检测和消除的注意力循环生成对抗网络
Deep Tensor ADMM-Net for Snapshot Compressive Imaging	用于快照压缩成像的深度张量ADMM网
Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision	利用凸松弛解决三维视觉中一致性和非极小问题
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation	Pareto Meets Huber：稳健估计中有效避免弱极小
K-Best Transformation Synchronization	K-最佳变换同步
Parametric Majorization for Data-Driven Energy Minimization Methods	数据驱动能量最小化方法的参数优化
A Bayesian Optimization Framework for Neural Network Compression	基于贝叶斯优化框架的神经网络压缩
HiPPI: Higher-Order Projected Power Iterations for Scalable Multi-Matching	HiPPI：基于高阶投影功率迭代的可伸缩多匹配
Language-Conditioned Graph Networks for Relational Reasoning	基于语言-条件图网络的关系推理
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction	讲、画、重复：基于连续语言指导的图像生成与修改
Relation-Aware Graph Attention Network for Visual Question Answering	基于关系感知图注意网络的视觉问答
Unpaired Image Captioning via Scene Graph Alignments	基于场景图对齐的未配对图像标注
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning	三元损失中类间和类内关系建模实现零镜头学习
Occlusion-Shared and Feature-Separated Network for Occlusion Relationship Reasoning	基于遮挡共享和特征分离网络的遮挡关系推理
Compositional Video Prediction	合成视频预测
Mixture-Kernel Graph Attention Network for Situation Recognition	基于混合核图注意网络的态势识别
Learning Similarity Conditions Without Explicit Supervision	没有明确的监督下学习相似条件
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes	车-人-混合场景中运动轨迹的联合预测
Learning to Caption Images Through a Lifetime by Asking Questions	通过提问来学会在一生中给图片加标注
VrR-VG: Refocusing Visually-Relevant Relationships	VrR-VG：重新聚焦视觉-相关关系
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo	TAPA-MVS：无纹理感知PatchMatch多视图立体	多视图立体匹配
U4D: Unsupervised 4D Dynamic Scene Understanding	U4D：无监督4D动态场景理解
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation	基于层次点-边交互网络的点云语义分割
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction	多角度点云VAE：基于联合自重构和半对半预测的多角度三维点云无监督特征学习
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo	P-MVSNet：学习多视点立体视觉的逐块匹配置信聚集	多视图立体匹配
SME-Net: Sparse Motion Estimation for Parametric Video Prediction Through Reinforcement Learning	基于强化学习的稀疏运动估计实现参数化视频预测
ClothFlow: A Flow-Based Model for Clothed Person Generation	ClothFlow：一种基于流的人穿衣生成模型
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup	LADN：用于面部化妆和卸妆的局部对抗分离网络
Point-to-Point Video Generation	点对点视频生成
Semantics-Enhanced Adversarial Nets for Text-to-Image Synthesis	基于语义增强对抗网的文本-图像合成
VTNFP: An Image-Based Virtual Try-On Network With Body and Clothing Feature Preservation	VTNFP：一种身体和衣服特征保持的基于图像的虚拟试穿网络
Boundless: Generative Adversarial Networks for Image Extension	Boundless：基于GAN的图像扩展
Image Synthesis From Reconfigurable Layout and Style	基于可重构布局和风格的图像合成
Attribute Manipulation Generative Adversarial Networks for Fashion Images	基于属性操作GAN的时尚图像
Few-Shot Unsupervised Image-to-Image Translation	少镜头无监督图像-图像的转换
Very Long Natural Scenery Image Prediction by Outpainting	利用Outpainting实现超长自然景物图像预测
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains	张量训练中利用正交逼近实现递推模型分级
A Deep Cybersickness Predictor Based on Brain Signal Analysis for Virtual Reality Contents	虚拟现实内容中基于脑信号分析的深度晕机预测
Learning With Unsure Data for Medical Image Diagnosis	医学影像诊断中的不确定性数据学习
Recursive Cascaded Networks for Unsupervised Medical Image Registration	基于递归级联网络的无监督医学图像配准
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer	DUAL-GLOW：基于条件流的生成模型实现模态转换
Dilated Convolutional Neural Networks for Sequential Manifold-Valued Data	扩张卷积神经网络用于序列流形-值数据
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision	对齐、出席和定位：有限监督下通过造影诱导注意网络进行胸部x线诊断
Joint Acne Image Grading and Counting via Label Distribution Learning	基于标签分布学习的痤疮图像联合分级与计数
An Alarm System for Segmentation Algorithm Based on Shape Model	基于形状模型的分割算法报警系统
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images	HistoSegNet：全幻灯片图像组织类型的语义分割
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation	基于先验感知神经网络的部分监督多器官分割
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation	CAMEL：组织病理学图像分割的弱监督学习框架
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging	条件返流：纵向样本的条件生成及其在神经影像学中的应用
Multi-Stage Pathological Image Classification Using Semantic Segmentation	基于语义分割的多阶段病理图像分类
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation	语义可转移的弱监督内镜病变分割
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network	基于活动轮廓模拟神经网络的无监督微血管图像分割
GLAMpoints: Greedily Learned Accurate Match Points	GLAMpoints：贪婪地学习精确的匹配点

声明：本文内容由网友自发贡献，不代表【wpsshop博客】立场，版权归原作者所有，本站不承担相应法律责任。如您发现有侵权的内容，请联系我们。转载请注明出处：https://www.wpsshop.cn/w/花生_TL007/article/detail/90880