EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Y Fang, W Wang, B Xie, Q Sun, L Wu, X Wang, T Huang, X Wang, Y Cao CVPR 2023 Highlight, 2023 | 440 | 2023 |
Instances as Queries Y Fang*, S Yang*, X Wang, Y Li, C Fang, Y Shan, B Feng, W Liu ICCV 2021, 2021 | 286* | 2021 |
You Only Look at One Sequence Y Fang*, B Liao*, X Wang, J Fang, J Qi, R Wu, J Niu, W Liu NeurIPS 2021, 2021 | 272* | 2021 |
EVA-CLIP: Improved Training Techniques for CLIP at Scale Q Sun, Y Fang, L Wu, X Wang, Y Cao arXiv preprint arXiv:2303.15389, 2023 | 214 | 2023 |
EVA-02: A Visual Representation for Neon Genesis Y Fang, Q Sun, X Wang, T Huang, X Wang, Y Cao arXiv preprint arXiv:2303.11331, 2023 | 128 | 2023 |
Crossover Learning for Fast Online Video Instance Segmentation S Yang*, Y Fang*, X Wang, Y Li, C Fang, Y Shan, B Feng, W Liu ICCV 2021, 2021 | 116 | 2021 |
Diversity Transfer Network for Few-Shot Learning M Chen*, Y Fang*, X Wang, H Luo, Y Geng, X Zhang, C Huang, W Liu, ... AAAI 2020 Oral, 2020 | 77 | 2020 |
Corrupted Image Modeling for Self-Supervised Visual Pre-training Y Fang, L Dong, H Bao, X Wang, F Wei ICLR 2023 Spotlight, 2022 | 72 | 2022 |
Temporally Efficient Vision Transformer for Video Instance Segmentation S Yang, X Wang, Y Li, Y Fang, J Fang, W Liu, X Zhao, Y Shan CVPR 2022 Oral, 2022 | 65 | 2022 |
You Only Look at One Partial Sequence Y Fang*, S Yang*, S Wang*, Y Ge, Y Shan, X Wang ICCV 2023, 2022 | 43* | 2022 |