| 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 | 877 | 2019 |
| 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 | 762 | 2022 |
| Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning C Si, Y Jing, W Wang, L Wang, T Tan ECCV2018, 2018 | 391 | 2018 |
| Inception transformer C Si, W Yu, P Zhou, Y Zhou, X Wang, S Yan Advances in Neural Information Processing Systems 35, 23495-23509, 2022 | 151 | 2022 |
| 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 | 124 | 2020 |
| 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, ... arXiv preprint arXiv:2309.15103, 2023 | 83 | 2023 |
| 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 | 82 | 2020 |
| 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, 2023 | 71 | 2023 |
| 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 | 69 | 2018 |
| Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition C Si, X Nie, W Wang, L Wang, T Tan, J Feng ECCV 2020, 2020 | 66 | 2020 |
| 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 | 46 | 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 | 35 | 2022 |
| 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 | 32 | 2024 |
| 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 | 28 | 2024 |
| Semantic prompt for few-shot image recognition W Chen, C Si, Z Zhang, L Wang, Z Wang, T Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
| 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 | 17 | 2022 |
| Pose-based two-stream relational networks for action recognition in videos W Wang, J Zhang, C Si, L Wang arXiv preprint arXiv:1805.08484, 2018 | 13 | 2018 |
| Cascade attention network for person search: Both image and text-image similarity selection Y Jing, C Si, J Wang, W Wang, L Wang, T Tan arXiv preprint arXiv:1809.08440 2 (3), 5, 2018 | 13 | 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 | 11 | 2024 |
| Freeinit: Bridging initialization gap in video diffusion models T Wu, C Si, Y Jiang, Z Huang, Z Liu arXiv preprint arXiv:2312.07537, 2023 | 10 | 2023 |
Liang WangNational Lab of Pattern Recognition在 nlpr.ia.ac.cn 的电子邮件经过验证
