AiR: Attention with Reasoning Capability
Invertible Image Rescaling
End-to-End Object Detection with Transformers
Rewriting a Deep Generative Model
Conditional Convolutions for Instance Segmentation
Content-Aware Unsupervised Deep Homography Estimation
Gradient Centralization: A New Optimization Technique for Deep Neural Networks
Learning Stereo from Single Images
Diffraction Line Imaging
Semantic Flow for Fast and Accurate Scene Parsing
Self-Challenging Improves Cross-Domain Generalization
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Towards Streaming Image Understanding
ForkGAN: Seeing into the Rainy Night
TopoGAN: A Topology-Aware Generative Adversarial Network
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval

[Post]

Convolutional Occupancy Networks
Circumventing Outliers of AutoAugment with Knowledge Distillation
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images
GAN Slimming: All-in-One Unified GAN Compression
Binarized Neural Network for Single Image Super Resolution
Single-Image Depth Prediction Makes Feature Matching Easier

[Dehazing]

Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing
Physics-based Feature Dehazing Networks

[Enhancement]

PieNet: Personalized Image Enhancement Network
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video
Global and Local Enhancement Networks For Paired and Unpaired Image Enhancement
Learning Enriched Features for Real Image Restoration and Enhancement
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
Low light video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping
URIE: Universal Image Enhancement for Visual Recognition in the Wild
Dynamic Low-light Imaging with Quanta Image Sensors

[Dinoising]

Reconstructing the Noise Manifold for Image Denoising
Burst Denoising via Temporally Shifted Wavelet Transforms
Robust and On-the-fly Dataset Denoising for Image Classification
Learning Graph-Convolutional Representations for Point Cloud Denoising
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
Spatial-Adaptive Network for Single Image Denoising
Unpaired Learning of Deep Blind Image Denoising
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images
Practical Deep Raw Image Denoising on Mobile Devices

[Deraining]

Beyond Monocular Deraining: Paired Rain Removal Networks via Unpaired Semantic Understanding
Rethinking Image Deraining via Rain Streaks and Vapors
ForkGAN: Seeing into the Rainy Night

[Event]

A Differentiable Recurrent Surface for Asynchronous Event-Based Data
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos
Traffic Accident Analysis by Cause and Effect Events Localization
How to Train Your Event Camera Neural Network [paper]
Entropy Minimisation Framework for Event-based Vision Model Estimation
Event-based Asynchronous Sparse Convolutional Networks
REMIND Your Neural Network to Prevent Catastrophic Forgetting
Learning Event-Driven Video Deblurring and Interpolation
Learning to See in the Dark with Events
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction
Globally-Optimal Event Camera Motion Estimation
Jointly learning visual motion and confidence from local patches in event cameras
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Event Enhanced High-Quality Image Recovery
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos

[Attention]

Example-Guided Image Synthesis across Arbitrary Scenes using Masked Spatial-Channel Attention and Self-Supervision
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
History Repeats Itself: Human Motion Prediction via Motion Attention
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature
Supervised Edge Attention Network for Accurate Image Instance Segmentation
SPAN: Spatial Pyramid Attention Network for Image Manipulation Detection
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification
Spatiotemporal Attention Cell Search for Video Classification
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention
Attention-Based Query Expansion Learning
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
DA4AD: End-to-end Deep Attention Aware Features Aided Visual Localization for Autonomous Driving
Few-shot Action Recognition via Permutation-invariant Attention
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
Single Image Super-Resolution via a Holistic Attention Network
SOLAR: Second-Order Loss and Attention for Image Retrieval
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
Monocular Expressive Body Regression through Body-Driven Attention
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition
Character Region Attention For Text Spotting
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation [paper]
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching
Look here! A parametric learning based approach to redirect visual attention
Guiding Monocular Depth Estimation Using Depth Attention-Volume
Suppressing Mislabeled Data via Grouping and Self-Attention
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Few-Shot Semantic Segmentation with Democratic Attention Networks
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition
AiR: Attention with Reasoning Capability
Assembling Modality Representations via Attention Connections
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation
Attention Guided Anomaly Localization in Images
ReAD: Reciprocal Attention Discriminator for Image-to-Video Re-Identification
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs

[Super-Resolution]

Component Divide-and-Conquer for Real-World Image Super-Resolution
Face Super-Resolution Guided by 3D Facial Priors
Learning with Privileged Information for Efficient Image Super-Resolution
Fast Adaptation to Super-Resolution Networks via Meta-Learning
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit
Towards Content-independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation
Single Image Super-Resolution via a Holistic Attention Network
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Video Super-Resolution with Recurrent Structure-Detail Network
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
Journey Towards Tiny Perceptual Super-Resolution
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
Spatial-Angular Interaction for Light Field Image Super-Resolution
Mining self-similarity: Label super-resolution with epitomic representations
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
VarSR: Variational Super-Resolution Network for Very Low Resolution Images
Texture Hallucination for Large-Factor Painting Super-Resolution
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning
Scene Text Image Super-Resolution in the Wild
Component Divide-and-Conquer for Real-World Image Super-Resolution、

[Wavelet]

Wavelet-Based Dual-Branch Neural Network for Image Demoireing
Burst Denoising via Temporally Shifted Wavelet Transforms
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video

[Bayesian]

Unsupervised Bayesian Deep Learning for Image Reconstruction in Compressive Sensing
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling

[Semantic Segmentation]

Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation (oral)
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information
Content-Consistent Matching for Domain Adaptive Semantic Segmentation
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation
Virtual Multi-view Fusion for 3D Semantic Segmentation
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild
Deep FusionNet for Point Cloud Semantic Segmentation
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Few-Shot Semantic Segmentation with Democratic Attention Networks
Prototype Mixture Models for Few-shot Semantic Segmentation
Indirect Local Attacks for Context-aware Semantic Segmentation Networks
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology
Part-aware Prototype Network for Few-shot Semantic Segmentation
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds
Document Structure Extraction using Prior Based HighResolution Hierarchical Semantic Segmentation
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation
Object-Contextual Representations for Semantic Segmentation
Learning to Predict Context-adaptive Convolution for Semantic Segmentation
Domain Adaptive Semantic Segmentation Using Weak Labels
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation
Weakly Supervised Semantic Segmentation with Boundary Exploration
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Class-wise Dynamic Graph Convolution for Semantic Segmentation
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds
Tensor Low-Rank Reconstruction for Semantic Segmentation
Intra-class Compactness Distillation for Semantic Segmentation
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation

[Distillation]

StyleGAN2 Distillation for Feed-forward Image Manipulation
Online Ensemble Model Compression using Knowledge Distillation
Feature Normalized Knowledge Distillation for Image Classification
Knowledge Distillation Meets Self-Supervision
Discriminability Distillation in Group Representation Learning
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
Prime-Aware Adaptive Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild
Weight Decay Scheduling and Knowledge Distillation for Active Learning
Circumventing Outliers of AutoAugment with Knowledge Distillation
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
Domain Adaptation through Task Distillation
Improving Face Recognition from Hard Samples via Distribution Distillation Loss
Defocus Blur Detection via Depth Distillation
Intra-class Compactness Distillation for Semantic Segmentation
Differentiable Feature Aggregation Search for Knowledge Distillation
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition
MetaDistiller: Network Self-boosting via Meta-learned Top-down Distillation
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification
Interpretable Foreground Object Search As Knowledge Distillation
Improving Knowledge Distillation via Category Structure
Local Correlation Consistency for Knowledge Distillation
Knowledge Transfer via Dense Cross-layer Mutual-distillation
Matching Guided Distillation
AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation

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