Our Publications

Conference Papers

  • Learning with Recoverable Forgetting
    Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
    European Conference on Computer Vision (ECCV), 2022

  • DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
    Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
    European Conference on Computer Vision (ECCV), 2022

  • Factorizing Knowledge in Neural Networks
    Xingyi Yang, Jingwen Ye, Xinchao Wang
    European Conference on Computer Vision (ECCV), 2022

  • Relationship Spatialization for Depth Estimation
    Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang
    European Conference on Computer Vision (ECCV), 2022

  • Learning Graph Neural Networks for Image Style Transfer
    Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
    European Conference on Computer Vision (ECCV), 2022

  • Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
    Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
    European Conference on Computer Vision (ECCV), 2022

  • Attention Diversification for Cross-Domain Generalization
    Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu
    European Conference on Computer Vision (ECCV), 2022

  • Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
    Hongbin Lin*, Yifan Zhang*, Zhen Qiu, Shuaicheng NIu, Chuang Gan, Yanxia Liu, Mingkui Tan
    European Conference on Computer Vision (ECCV), 2022

  • Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering
    Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan
    European Conference on Computer Vision (ECCV), 2022

  • Efficient Test-Time Model Adaptation without Forgetting
    Shuaicheng Niu*, Jiaxiang Wu*, Yifan Zhang*, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
    International Conference on Machine Learning (ICML), 2022

  • Learning Domain Adaptive Object Detection with Probabilistic Teacher
    Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu
    International Conference on Machine Learning (ICML), 2022

  • Understanding The Robustness in Vision Transformers
    Daquan Zhou, Zhiding Yu, Enze Xie, Chaowei Xiao, Animashree Anandkumar, Jiashi Feng, Jose Alvarez
    International Conference on Machine Learning (ICML), 2022

  • The Geometry of Robust Value Functions
    Kaixin Wang, Navdeep Kumar, Kuangqi Zhou, Bryan Hooi, Jiashi Feng, Shie Mannor
    International Conference on Machine Learning (ICML), 2022

  • Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
    Xin Jin, Tianyu He, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
    ACM International Conference on Multimedia (ACM MM), 2022

  • PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
    Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang
    Computer Vision and Pattern Recognition (CVPR), 2022 (oral)

  • Shunted Self-Attention via Multi-Scale Token Aggregation
    Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang
    Computer Vision and Pattern Recognition (CVPR), 2022 (oral)

  • Metaformer is Actually What You Need for Vision
    Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
    Computer Vision and Pattern Recognition (CVPR), 2022 (oral)

  • Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
    Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, Vincent Tan
    Computer Vision and Pattern Recognition (CVPR), 2022

  • Point2Seq: Detecting 3D Objects as Sequences
    Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang
    Computer Vision and Pattern Recognition (CVPR), 2022

  • Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
    Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022

  • CAFE: Learning to Condense Dataset by Aligning Features
    Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022

  • Geometric Structure Preserving Warp for Natural Image Stitching
    Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022

  • Slimmable Domain Adaptation
    Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang
    Conference on Computer Vision and Pattern Recognition (CVPR), 2022

  • M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database
    Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li
    Annual Meeting of the Association for Computational Linguistics (ACL), 2022

  • How Well Self-Supervised Pre-Training Performs with Streaming Data?
    Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng
    International Conference on Learning Representations (ICLR), 2022

  • Towards Adversarially Robust Deep Image Denoising
    Hanshu Yan, Jingfeng Zhang, Jiashi Feng, Masashi Sugiyama, Vincent Y. F. Tan
    International Joint Conference on Artificial Intelligence (IJCAI), 2022

  • Prompting to distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt
    Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu
    International Joint Conference on Artificial Intelligence (IJCAI), 2022

  • Up to 100× Faster Data-free Knowledge Distillation
    Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song
    AAAI Conference on Artificial Intelligence (AAAI), 2022

  • Safe Distillation Box
    Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
    AAAI Conference on Artificial Intelligence (AAAI), 2022