| Meta-baseline: exploring simple meta-learning for few-shot learning Y Chen, Z Liu, H Xu, T Darrell, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2020 | 704* | 2020 |
| Learning continuous image representation with local implicit image function Y Chen, S Liu, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2021 | 683 | 2021 |
| Rethinking knowledge graph propagation for zero-shot learning Y Chen*, M Kampffmeyer*, X Liang, H Wang, Y Zhang, EP Xing Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2019 | 381 | 2019 |
| Videoinr: Learning video implicit neural representation for continuous space-time super-resolution Z Chen, Y Chen, J Liu, X Xu, V Goel, Z Wang, H Shi, X Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2022 | 103 | 2022 |
| Learning implicit feature alignment function for semantic segmentation H Hu, Y Chen, J Xu, S Borse, H Cai, F Porikli, X Wang European Conference on Computer Vision, 487-505, 2022 | 54 | 2022 |
| Transformers as meta-learners for implicit neural representations Y Chen, X Wang European Conference on Computer Vision, 170-187, 2022 | 51 | 2022 |
| Visual reinforcement learning with self-supervised 3d representations Y Ze, N Hansen, Y Chen, M Jain, X Wang IEEE Robotics and Automation Letters 8 (5), 2890-2897, 2023 | 48 | 2023 |
| Image Neural Field Diffusion Models Y Chen, O Wang, R Zhang, E Shechtman, X Wang, M Gharbi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern
, 2024 | 3 | 2024 |
