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