| Metaformer is actually what you need for vision W Yu, M Luo, P Zhou, C Si, Y Zhou, X Wang, J Feng, S Yan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1267 | 2022 |
| An attention enhanced graph convolutional lstm network for skeleton-based action recognition C Si, W Chen, W Wang, L Wang, T Tan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1032 | 2019 |
| Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning C Si, Y Jing, W Wang, L Wang, T Tan ECCV2018, 2018 | 434 | 2018 |
| Vbench: Comprehensive benchmark suite for video generative models Z Huang, Y He, J Yu, F Zhang, C Si, Y Jiang, Y Zhang, T Wu, Q Jin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 343 | 2024 |
| Inception transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan Advances in Neural Information Processing Systems 35, 23495-23509, 2022 | 284 | 2022 |
| Lavie: High-quality video generation with cascaded latent diffusion models Y Wang, X Chen, X Ma, S Zhou, Z Huang, Y Wang, C Yang, Y He, J Yu, ... International Journal of Computer Vision, 1-20, 2024 | 283 | 2024 |
| Metaformer baselines for vision W Yu, C Si, P Zhou, M Luo, Y Zhou, J Feng, S Yan, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (2), 896-912, 2023 | 218 | 2023 |
| Pose-guided multi-granularity attention network for text-based person search Y Jing, C Si, J Wang, W Wang, L Wang, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11189 …, 2020 | 166 | 2020 |
| Freeu: Free lunch in diffusion u-net C Si, Z Huang, Y Jiang, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 147 | 2024 |
| Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network C Si, Y Jing, W Wang, L Wang, T Tan Pattern Recognition 107, 107511, 2020 | 94 | 2020 |
| Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition C Si, X Nie, W Wang, L Wang, T Tan, J Feng European Conference on Computer Vision 2020, 2020 | 83 | 2020 |
| Multistage adversarial losses for pose-based human image synthesis C Si, W Wang, L Wang, T Tan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 71 | 2018 |
| Videobooth: Diffusion-based video generation with image prompts Y Jiang, T Wu, S Yang, C Si, D Lin, Y Qiao, CC Loy, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 66 | 2024 |
| Semantic prompt for few-shot image recognition W Chen, C Si, Z Zhang, L Wang, Z Wang, T Tan arXiv preprint arXiv:2303.14123, 2023 | 65 | 2023 |
| Mugs: A multi-granular self-supervised learning framework P Zhou, Y Zhou, C Si, W Yu, TK Ng, S Yan arXiv preprint arXiv:2203.14415, 2022 | 61 | 2022 |
| Contrast-reconstruction representation learning for self-supervised skeleton-based action recognition P Wang, J Wen, C Si, Y Qian, L Wang IEEE Transactions on Image Processing 31, 6224-6238, 2022 | 52 | 2022 |
| Freeinit: Bridging initialization gap in video diffusion models T Wu, C Si, Y Jiang, Z Huang, Z Liu European Conference on Computer Vision, 378-394, 2024 | 44 | 2024 |
| Generalizable person re-identification via self-supervised batch norm test-time adaption K Han, C Si, Y Huang, L Wang, T Tan Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 817-825, 2022 | 26 | 2022 |
| Vbench++: Comprehensive and versatile benchmark suite for video generative models Z Huang, F Zhang, X Xu, Y He, J Yu, Z Dong, Q Ma, N Chanpaisit, C Si, ... arXiv preprint arXiv:2411.13503, 2024 | 24 | 2024 |
| Towards language-driven video inpainting via multimodal large language models J Wu, X Li, C Si, S Zhou, J Yang, J Zhang, Y Li, K Chen, Y Tong, Z Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21 | 2024 |
Liang WangNational Lab of Pattern RecognitionVerified email at nlpr.ia.ac.cn
