Our Publications

Journal Papers

  • Jian Zhao, Jianshu Li, Hengzhu Liu, Shuicheng Yan, Jiashi Feng. Fine-grained multi-human parsing, In International Journal of Computer Vision(IJCV), 2020.

  • Shaofei Huang, Si Liu, Tianrui Hui, Jizhong Han, Bo Li, Jiashi Feng, Shuicheng Yan. ORDNet: Capturing omni-range dependencies for scene parsing, In IEEE Transactions on Image Processing(TIP), 2020.

  • Jian Zhao, Shuicheng Yan, Jiashi Feng. Towards age-invariant face recognition, In IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2020.

Conference Papers

  • Jian Liang, Dapeng Hu, Jiashi Feng. Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation, In International Conference on Machine Learning (ICML), 2020.

  • Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng. Improving Generalization in Reinforcement Learning with Mixture Regularization, In the Annual Conference on Neural Information Processing Systems (NeurIPS), 2020

  • Shuning Chang, Li Yuan, Xuecheng Nie, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Jiashi Feng, Shuicheng Yan. Towards Accurate Human Pose Estimation in Videos of Crowded Scenes, In the 28th ACM International Conference on Multimedia (MM), 2020.

  • Li Yuan, Shuning Chang, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Xuecheng Nie, Francis EH Tay, Jiashi Feng, Shuicheng Yan. A Simple Baseline for Pose Tracking in Videos of Crowed Scenes, In the 28th ACM International Conference on Multimedia (MM), 2020.

  • Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Hoi, Weinan E. Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning, In Annual Conference on Neural Information Processing Systems(NeurIPS), 2020.

  • Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan, Toward Accurate Person-level Action Recognition in Videos of Crowed Scenes, In the ACM International Conference on Multimedia (MM), 2020.

  • Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng. Exploring balanced feature spaces for representation learning, In International Conference on Learning Representations(ICLR), 2020.

  • Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng. The devil is in classification: A simple framework for long-tail instance segmentation, In European Conference on computer vision (ECCV), 2020.

  • Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng. Adversarial self-supervised learning for semi-supervised 3D action recognition, In European Conference on Computer Vision(ECCV), 2020.

  • Zihang Jiang, Weihao Yu, Daquan Zhou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan. ConvBERT: Improving BERT with Span-based Dynamic Convolution, In the Annual Conference on Neural Information Processing Systems(NeurIPS), 2020.

  • Jianfeng Zhang, Xuecheng Nie, Jiashi Feng. Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation, In the Annual Conference on Neural Information Processing Systems (NeurIPS), 2020

  • Li Yuan, Francis EH Tay, Guilin Li, Tao Wang, Jiashi Feng. Revisiting knowledge distillation via label smoothing regularization, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020.

  • Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng. Central similarity quantization for efficient image and video retrieval, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2020.

  • Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng. Overcoming classifier imbalance for long-tail object detection with balanced group softmax, In the IEEE/CVF conference on computer vision and pattern recognition(CVPR), 2020.

  • Aoxue Li, Weiran Huang, Xu Lan, Jiashi Feng, Zhenguo Li, Liwei Wang. Boosting few-shot learning with adaptive margin loss, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Qibin Hou, Li Zhang, Ming-Ming Cheng, Jiashi Feng. Strip pooling: Rethinking spatial pooling for scene parsing, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Changhu Wang, Jiashi Feng. Improving convolutional networks with self-calibrated convolutions, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan. Rethinking bottleneck structure for efficient mobile network design, In European Conference on Computer Vision (ECCV), 2020.

  • Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng. A balanced and uncertainty-aware approach for partial domain adaptation, In European Conference on Computer Vision (ECCV), 2020.

  • Yue Liao, Si Liu, Fei Wang, Yanjie Chen, Chen Qian, Jiashi Feng. Ppdm: Parallel point detection and matching for real-time human-object interaction detection, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan. Psgan: Pose and expression robust spatial-aware gan for customizable makeup transfer, In the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.