2021
- Locality-aware Channel-wise Dropout for Occluded Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan, Xiao Liu, Zhongqin Wu, Xilin Chen. Locality-aware Channel-wise Dropout for Occluded Face Recognition. IEEE Transactions on Image Processing (TIP) 2021. (Accepted) - Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan. Dual-Branch Meta-learning Network with Distribution Alignment for Face Anti-spoofing. IEEE Transactions on Information Forensics and Security (TFIS) 2021. (Accepted) - Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data
Kunyan Li, Jie Zhang, Shiguang Shan. Learning Shape-Appearance Based Attributes Representation for Facial Attribute Recognition with Limited Labeled Data. IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021. - Unknown Aware Feature Learning for Face Forgery Detection
Liang Shi, Jie Zhang, Chenyue Liang, Shiguang Shan. Unknown Aware Feature Learning for Face Forgery Detection. IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021. - Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan. Meta Gradient Adversarial Attack. IEEE International Conference on Computer Vision (ICCV) 2021.[code] - Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen. Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing. Pattern Recognition (PR) 2021.
2020
- Leveraging Auxiliary Tasks for Height andWeight Estimation by Multi Task Learning
Dan Han, Jie Zhang, Shiguang Shan. Leveraging Auxiliary Tasks for Height and Weight Estimation by Multi Task Learning. International Joint Conference on Biometrics (IJCB), 2020. - Attributes Aware Face Generation with Generative Adversarial Networks
Zheng Yuan, Jie Zhang, Shiguang Shan, Xilin Chen. Attributes Aware Face Generation with Generative Adversarial Networks. International Conference on Pattern Recognition (ICPR), 2020. - Deformable Face Net for Pose Invariant Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Deformable Face Net for Pose Invariant Face Recognition. Pattern Recognition (PR), 2020. [pdf] - Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral) [pdf] [code] - Single-Side Domain Generalization for Face Anti-Spoofing
Yunpei Jia, Jie Zhang, Shiguang Shan, Xilin Chen. Single-Side Domain Generalization for Face Anti-Spoofing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf] [code] - Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal Fusion
Zijian Zhao, Jie Zhang, Shiguang Shan. Noise Robust Hard Example Mining for Human Detection with Efficient Depth-Thermal Fusion. IEEE International Conference on Automatic Face and Gesture Recognition Workshops (FGW), 2020. (2nd Winner of Human Detection) - PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action Recognition
Changzhen Li, Jie Zhang, Shiguang Shan, Xilin Chen. PAS-Net: Pose-based and Appearance-based Spatiotemporal Networks Fusion for Action Recognition. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020.
2019
- Locality-constrained Framework for Face Alignment
Jie Zhang, Xiaowei Zhao, Meina Kan, Shiguang Shan, Xiujuan Chai, Xilin Chen. Locality-constrained Framework for Face Alignment. Frontiers of Computer Science (FCS), 2019. - Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition
Mingjie He, Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Deformable Face Net: Learning Pose Invariant Feature with Pose Aware Feature Alignment for Face Recognition. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2019. (Oral) [pdf] [code] - DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing
Jinghui Wang, Jie Zhang, Zijia Lu, Shiguang Shan. DFT-Net: Disentanglement of Face Deformation and Texture Synthesis for Expression Editing. IEEE International Conference on Image Processing (ICIP), 2019. [pdf]
2018
- A Three-Category Face Detector with Contextual Information on Finding Tiny Faces
Feng Jiang, Jie Zhang, Liping Yan, Yuanqing Xia, Shiguang Shan. A Three-Category Face Detector with Contextual Information on Finding Tiny Faces. IEEE International Conference on Image Processing (ICIP), 2018. - Efficient Weighted Kernel Sharing Convolutional Neural Networks
Helong Zhou, Yie-Tarng Chen, Jie Zhang, Wen-Hsien Fang. Efficient Weighted Kernel Sharing Convolutional Neural Networks. IEEE International Conference on Visual Communications and Image Processing (VCIP), 2018.
2017
- Robust Fec-cnn: A High Accuracy Facial Landmark Detection System
Zhenliang He, Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Robust Fec-cnn: A High Accuracy Facial Landmark Detection System. IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017. (2nd Winner of Face Alignment) [pdf] - KinNet: Fine-to-Coarse Deep Metric Learning for Kinship Verification
Yong Li, Jiabei Zeng, Jie Zhang, Anbo Dai, Meina Kan, Shiguang Shan, Xilin Chen. Kinnet: Fine-to-coarse deep metric learning for kinship verification. ACM Conference on Multimedia Workshops (ACM MMW) 2017. (1st Winner of Kinship Verification) - A Fully End-to-End Cascaded CNN for Facial Landmark Detection
Zhenliang He, Meina Kan, Jie Zhang, Xilin Chen, Shiguang Shan. A Fully End-to-End Cascaded CNN for Facial Landmark Detection. IEEE International Conference on Face and Gesture Recognition (FG), 2017. [pdf]
2016
- Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corrupt AutoEncoders
Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Occlusion-free Face Alignment: Deep Regression Networks Coupled with De-corrupt AutoEncoders. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [pdf]
2015
- Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network
Jie Zhang, Meina Kan, Shiguang Shan, Xilin Chen. Leveraging Datasets with Varying Annotations for Face Alignment via Deep Regression Network. IEEE International Conference on Computer Vision (ICCV), 2015. [pdf] - AgeNet:Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation
Xin Liu, Shaoxin Li, Meina Kan, Jie Zhang, Shuzhe Wu, Wenxian Liu, hu Han, Shiguang Shan, Xilin Chen. AgeNet:Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation. IEEE International Conference on Computer Vision Workshops (ICCVW), 2015. (2nd Winner of Apparent Age Estimation) [pdf]
2014
- Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment
Jie Zhang, Shiguang Shan, Meina Kan, Xilin Chen. Coarse-to-Fine Auto-encoder Networks (CFAN) for Real-time Face Alignment. European Conference on Computer Vision (ECCV), 2014 [pdf] [code] - Topic-aware Deep Auto-encoders (TDA) for Face Alignment
Jie Zhang, Meina Kan, Shiguang Shan, Xiaowe Zhao, Xilin Chen. Topic-aware Deep Auto-encoders (TDA) for Face Alignment. Asian Conference on Computer Vision (ACCV), 2014. [pdf]