北邮计算机学院实验室介绍,邓伟洪 | 北邮模式识别实验室

Chengrui Wang, Weihong Deng, Representative Forgery Mining for Fake Face Detection, CVPR 2021

Yaoyao Zhong, Weihong Deng, et al., SFace: Sigmoid-constrained Hypersphere Loss for Robust Face Recognition, IEEE Transactions on Image Processing 2021.

Mei Wang, Weihong Deng, Cycle Label-Consistent Networks for Unsupervised Domain Adaptation, Neurocomputing, 2021

Mei Wang, Weihong Deng, Deep Face Recognition: A survey, Neurocomputing, 2021

Yaoyao Zhong, Weihong Deng, Towards Transferable Adversarial Attack against Deep Face Recognition, IEEE Transactions on Information Forensics & Security, 2021

Shanming Yang, Weihong Deng, Mei Wang, Junping Du, Jiani Hu, Orthogonality Loss: Learning Discriminative Representations for Face Recognition, IEEE Transactions on Circuits and Systems for Video Technology, 2020

Shan Li, Weihong Deng, Deep Face Expression Recognition: A Survey, IEEE Transactions on Affective Computing 2020

Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition, ECCV 2020

Yaobin Zhang, Weihong Deng, Class-Balanced Training for Deep Face Recognition, CVPR Workshop 2020

Han Fang, Weihong Deng, Triple-GAN: Progressive Face Aging With Triple Translation Loss, CVPR Workshop 2020

Yaobing Zhang, Weihong Deng, et al., Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition, CVPR 2020

Xiehe Huang, Weihong Deng, et al.,  PropagationNet: Propagate Points to Curve to Learn Structure Information, CVPR 2020

Mei Wang, Weihong Deng, Mitigating Bias in Face Recognition using Skewness-Aware Reinforcement Learning, CVPR 2020

Y Fang, W Deng, J Du, J Hu, Identity-aware CycleGAN for face photo-sketch synthesis and recognition, Pattern Recognition 2020

S Li, W Deng, A Deeper Look at Facial Expression Dataset Bias, IEEE Transactions on Affective Computing 2020

M Wang, W Deng, Deep Face Recognition with Clustering based Domain Adaptation, Neurocomputing 2020

Mei Wang, Weihong Deng, et al., Racial Faces in-the-Wild: Reducing Racial Bias by Information Maximization Adaptation Network, ICCV 2019.

Bingyu Liu, Weihong Deng, et al., Fair Loss: Margin-aware Reinforcement Learning for Deep Face Recognition, ICCV 2019.

Yaoyao Zhong, Weihong Deng, et al., Adversarial Learning with Margin-based Triplet Embedding Regularization, ICCV 2019.

Binghui Chen, Weihong Deng, et al., Mixed High-Order Attention Network for Person Re-Identification, ICCV 2019.

Yaoyao Zhong, Weihong Deng, Mei Wang, Jiani Hu, et al., Unequal-training for deep face recognition with long-tailed noisy data, CVPR 2019.

Tongtong Yuan, Weihong Deng, Jian Tang, Jiani Hu, et al., Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning, CVPR 2019.

Binghui Chen, Weihong Deng, Hybrid-Attention based Decoupled Embedding Learning for Zero-Shot Image Retrieval, CVPR 2019.

Yichen Qian, Weihong Deng, Jiani Hu, Unsupervised Face Normalization with Extreme Pose and Expression in the Wild, CVPR 2019.

Shan Li, Weihong Deng, Blended Emotion in-the-Wild: Multi-label Facial Expression Recognition Using Crowdsourced Annotations and Deep Locality Feature Learning, International Journal of Computer Vision (IJCV), 2019.

Binghui Chen, Weihong Deng, Deep embedding learning with adaptive large margin N-pair loss for image retrieval and clustering. Pattern Recognit. 93: 353-364, 2019.

Binghui Chen, Weihong Deng, Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering, AAAI, 2019.

Tongtong Yuan, Weihong Deng, Jiani Hu, Zhanfu An, Yinan Tang, Unsupervised Adaptive Hashing Based on Feature Clustering, Neurocomputing, 2019

Binghui Chen, Weihong Deng, Haifeng Shen, Virtual Class Enhanced Discriminative Embedding Learning, NIPS 2018 (Spotlight)

Shan Li, Weihong Deng, Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition, IEEE Transactions on Image Processing, 2018.

Yida Wang, Weihong Deng, Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models, IEEE Transactions on Image Processing, 2018.

Hongjun Wang, Jiani Hu, Weihong Deng, Face Feature Extraction: A Complete Review. IEEE Access 6: 6001-6039, 2018.

Weihong Deng, Hongjun Wang, Face recognition with compressed Fisher vector on multiscale convolutional features. IET Biometrics 7(5): 447-453, 2018

Mei Wang, Weihong Deng, Deep Visu