-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation C Wu, T Wang, Y Ge, Z Lu, R Zhou, Y Shan, P Luo International Conference on Machine Learning, 37713-37727, 2023 | 15 | 2023 |
3d human mesh regression with dense correspondence W Zeng, W Ouyang, P Luo, W Liu, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 108 | 2020 |
3D Human Mesh Regression with Dense Correspondence** Supplementary Material W Zeng, W Ouyang, P Luo, W Liu, X Wang | | |
3d interacting hand pose estimation by hand de-occlusion and removal H Meng, S Jin, W Liu, C Qian, M Lin, W Ouyang, P Luo European Conference on Computer Vision, 380-397, 2022 | 29 | 2022 |
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal–Supplementary Material– H Meng, S Jin, W Liu, C Qian, M Lin, W Ouyang, P Luo | | |
A deep sum-product architecture for robust facial attributes analysis P Luo, X Wang, X Tang Proceedings of the IEEE International Conference on Computer Vision, 2864-2871, 2013 | 102 | 2013 |
A discriminative model for object representation and detection via sparse features X Song, P Luo, L Lin, Y Jia 2010 20th International Conference on Pattern Recognition, 3077-3080, 2010 | 1 | 2010 |
A large-scale car dataset for fine-grained categorization and verification L Yang, P Luo, C Change Loy, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1014 | 2015 |
A survey of reasoning with foundation models J Sun, C Zheng, E Xie, Z Liu, R Chu, J Qiu, J Xu, M Ding, H Li, M Geng, ... arXiv preprint arXiv:2312.11562, 2023 | 18 | 2023 |
A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook J Sun, C Zheng, E Xie, Z Liu, R Chu, J Liu, J Xu, M Ding, H Li, M Geng, ... OSF, 0 | | |
A unified multi-scenario attacking network for visual object tracking X Chen, C Fu, F Zheng, Y Zhao, H Li, P Luo, GJ Qi Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1097-1104, 2021 | 15 | 2021 |
Accelerating vision-language pretraining with free language modeling T Wang, Y Ge, F Zheng, R Cheng, Y Shan, X Qie, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
Accelerating Vision-Language Pretraining with Free Language Modeling (Supplementary Materials) T Wang, Y Ge, F Zheng, R Cheng, Y Shan, X Qie, P Luo | | |
Adaptdiffuser: Diffusion models as adaptive self-evolving planners Z Liang, Y Mu, M Ding, F Ni, M Tomizuka, P Luo arXiv preprint arXiv:2302.01877, 2023 | 54 | 2023 |
Adaptformer: Adapting vision transformers for scalable visual recognition S Chen, C Ge, Z Tong, J Wang, Y Song, J Wang, P Luo Advances in Neural Information Processing Systems 35, 16664-16678, 2022 | 351 | 2022 |
Adapting LLaMA Decoder to Vision Transformer J Wang, W Shao, M Chen, C Wu, Y Liu, K Zhang, S Zhang, K Chen, P Luo arXiv preprint arXiv:2404.06773, 2024 | | 2024 |
Adax: Adaptive gradient descent with exponential long term memory W Li, Z Zhang, X Wang, P Luo arXiv preprint arXiv:2004.09740, 2020 | 31 | 2020 |
Advancing vision transformers with group-mix attention C Ge, X Ding, Z Tong, L Yuan, J Wang, Y Song, P Luo arXiv preprint arXiv:2311.15157, 2023 | 7 | 2023 |
Advancing Vision Transformers with Group-Mix Attention GE Chongjian, X Ding, Z Tong, L Yuan, J Wang, Y Song, P Luo | | |
Adversarial robustness for unsupervised domain adaptation M Awais, F Zhou, H Xu, L Hong, P Luo, SH Bae, Z Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 40 | 2021 |