Deep Model Reassembly
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022
Dataset Distillation via Factorization
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022
Inception Transformer
Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
Neural Information Processing Systems (NeurIPS), 2022 (Oral)
Training Spiking Neural Networks with Local Tandem Learning
Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li
Neural Information Processing Systems (NeurIPS), 2022 (Oral)
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
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
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
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
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