| Visual recognition with deep nearest centroids W Wang, C Han, T Zhou, D Liu The Eleventh International Conference on Learning Representations (ICLR), 2022 | 162 | 2022 |
| EVPT: An Effective and Efficient Approach for Visual Prompt Tuning C Han, Q Wang, Y Cui, Z Cao, W Wang, S Qi, D Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 74 | 2023 |
| Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning L Yan, C Han, Z Xu, D Liu, Q Wang The International Joint Conference on Artificial Intelligence (IJCAI), 1622-1630, 2023 | 41 | 2023 |
| Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? C Han, Q Wang, Y Cui, W Wang, L Huang, S Qi, D Liu The Twelfth International Conference on Learning Representations (ICLR), 2024 | 25 | 2024 |
| Image Translation as Diffusion Visual Programmers C Han, JC Liang, Q Wang, M Rabbani, S Dianat, R Rao, YN Wu, D Liu The Twelfth International Conference on Learning Representations (ICLR), 2024 | 24 | 2024 |
| Unified 3d segmenter as prototypical classifiers Z Qin, C Han, Q Wang, X Nie, Y Yin, L Xiankai Advances in Neural Information Processing Systems (NeurIPS) 36, 46419-46432, 2023 | 19 | 2023 |
| Collaborative multi-task learning for multi-object tracking and segmentation Y Cui, C Han, D Liu Journal on Autonomous Transportation Systems 1 (2), 1-23, 2024 | 16* | 2024 |
| Prototypical Transformer as Unified Motion Learners C Han, Y Lu, G Sun, JC Liang, Z Cao, Q Wang, Q Guan, SA Dianat, ... International Conference on Machine Learning (ICML), 2024 | 9 | 2024 |
| MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning T Wang, Y Liu, JC Liang, Y Cui, Y Mao, S Nie, J Liu, F Feng, Z Xu, C Han, ... The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024 | 8 | 2024 |
| AMD: Automatic Multi-step Distillation of Large-scale Vision Models C Han, Q Wang, SA Dianat, M Rabbani, RM Rao, Y Fang, Q Guan, ... The European Conference on Computer Vision (ECCV), 2024 | 6 | 2024 |
| A systematic evaluation of computation methods for cell segmentation Y Wang, J Zhao, H Xu, C Han, Z Tao, D Zhao, D Zhou, G Tong, D Liu, Z Ji Briefings in Bioinformatics, 2024 | 5 | 2024 |
| Promotion: Prototypes as motion learners Y Lu, D Liu, Q Wang, C Han, Y Cui, Z Cao, X Zhang, YV Chen, H Fan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks Z Cheng, C Han, J Liang, Q Wang, X Zhang, D Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 4 | 2024 |
| Stepwise Spatial Global-local Aggregation Networks for Autonomous Driving Y Cui, C Han, D Liu Journal on Autonomous Transportation Systems, 2024 | 3* | 2024 |
| Visual Fourier Prompt Tuning R Zeng, C Han, Q Wang, C Wu, T Geng, L Huang, YN Wu, D Liu The Thirty-Eighth Annual Conference on Neural Information Processing Systems …, 2024 | 2 | 2024 |
| Optical Flow as Spatial-Temporal Attention Learners Y Lu, C Han, Q Wang, H Fan, Z Kong, D Liu, Y Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 1 | 2024 |
| Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics T Wang, D Liu, JC Liang, W Yang, Q Wang, C Han, J Luo, R Tang arXiv preprint arXiv:2411.13587, 2024 | | 2024 |
| AMD: Automatic Multi-step Distillation of Large-scale Vision Models Supplementary Material C Han, Q Wang, SA Dianat, M Rabbani, RM Rao, Y Fang, Q Guan, ... | | |
| A Latent Generative Model for Closed-set and Open-set Recognition C Han, Q Wang, YN Wu, W Wang, S Qi | | |
Dongfang LiuRochester Institute of Technologyrit.edu의 이메일 확인됨