Yong Deng, Jimin Xiao, Steven Zhiying Zhou, Jiashi Feng, Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow, in IEEE Transactions on Image Processing (TIP), 2021.
Ting Liu, Jianfeng Zhang, Xuecheng Nie, Yunchao Wei, Shikui Wei, Yao Zhao, Jiashi Feng, Spatial-aware texture transformer for high-fidelity garment transfer, in IEEE Transactions on Image Processing (TIP), 2021.
Tao Wang, Jun Hao Liew, Yu Li, Yunpeng Chen, Jiashi Feng, SODAR: Segmenting Objects by Dynamically Aggregating Neighboring Mask Representations, in IEEE Transactions on Image Processing (TIP), 2021.
Jian Liang, Dapeng Hu, Yunbo Wang, Ran He, Jiashi Feng, Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer, in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Tao Wang, Jianfeng Zhang, Yujun Cai, Shuicheng Yan, Jiashi Feng, Detecting and Estimating multi-person 3D pose Directly from Multi-view images, in Conference on Neural Information Processing Systems (NeurIPS), 2021.
Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng, All tokens matter: Token labeling for training better vision transformers, in Conference on Neural Information Processing Systems (NeurIPS), 2021.
Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng, Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning, in Conference on Neural Information Processing Systems (NeurIPS), 2021.
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang, Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, in International Conference on Computer Vision (ICCV), 2021 (oral paper).
Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding, Adaattn: Revisit Attention Mechanism in Arbitrary Neural Style Transfer, in International Conference on Computer Vision (ICCV), 2021.
Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan, PnP-DETR: Towards Efficient Visual Analysis with Transformers, in International Conference on Computer Vision (ICCV), 2021.
Kaixin Wang, Kuangqi Zhou, Qixin Zhang, Jie Shao, Bryan Hooi, Jiashi Feng, Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing, in International Conference on Machine Learning (ICML), 2021
Hanshu Yan, Jingfeng Zhang, Gang Niu, Jiashi Feng, Vincent Y. F. Tan, Masashi Sugiyama, CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection, in International Conference on Machine Learning (ICML), 2021
Kehong Gong, Jianfeng Zhang, Jiashi Feng, PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng, Continual Learning via Bit-Level Information Preserving, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Xingyi Yang, Muchao Ye, Quanzeng You and Fenglong Ma, Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation, In Annual Meeting of the Association for Computational Linguistics (ACL), 2021 (long oral paper).
Mi Luo, Fei Chen, Dapeng Hu, Yifan Zhang, Jian Liang, Jiashi Feng, No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data, in Conference on Neural Information Processing Systems (NeurIPS), 2021.
Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng, AutoSpace: Neural Architecture Search with Less Human Interference, in International Conference on Computer Vision (ICCV), 2021.
Qibin Hou, Daquan Zhou, Jiashi Feng, Coordinate attention for efficient mobile network design, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng, Body Meshes as Points, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan, Towards understanding why lookahead generalizes better than sgd and beyond, in Conference on Neural Information Processing Systems (NeurIPS), 2021.
Jian Liang, Dapeng Hu, Jiashi Feng, Domain Adaptation with Auxiliary Target Domain-Oriented Classifier, In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.