| Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Y Ge, D Chen, H Li International Conference on Learning Representations (ICLR), 2020 | 763 | 2020 |
| Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation JZ Wu, Y Ge, X Wang, SW Lei, Y Gu, Y Shi, W Hsu, Y Shan, X Qie, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 720 | 2023 |
| Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID Y Ge, F Zhu, D Chen, R Zhao, H Li Advances in Neural Information Processing Systems (NeurIPS), 2020 | 658 | 2020 |
| FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification Y Ge, Z Li, H Zhao, G Yin, S Yi, X Wang, H Li Advances in Neural Information Processing Systems (NeurIPS), 1229--1240, 2018 | 435 | 2018 |
| Seed-bench: Benchmarking multimodal llms with generative comprehension B Li, R Wang, G Wang, Y Ge, Y Ge, Y Shan CVPR 2024, 2023 | 429 | 2023 |
| All in one: Exploring unified video-language pre-training AJ Wang, Y Ge, R Yan, Y Ge, X Lin, G Cai, J Wu, Y Shan, X Qie, MZ Shou CVPR 2023, 2022 | 231 | 2022 |
| YOLO-World: Real-Time Open-Vocabulary Object Detection T Cheng, L Song, Y Ge, W Liu, X Wang, Y Shan CVPR 2024, 2024 | 219 | 2024 |
| Uncertainty Modeling for Out-of-Distribution Generalization X Li, Y Dai, Y Ge, J Liu, Y Shan, LY Duan International Conference on Learning Representations (ICLR), 2022 | 218 | 2022 |
| Gpt4tools: Teaching large language model to use tools via self-instruction R Yang, L Song, Y Li, S Zhao, Y Ge, X Li, Y Shan NeurIPS, 2023 | 179 | 2023 |
| Bridging Video-text Retrieval with Multiple Choice Questions Y Ge, Y Ge, X Liu, D Li, Y Shan, X Qie, P Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2022 | 174 | 2022 |
| Self-supervising Fine-grained Region Similarities for Large-scale Image Localization Y Ge, H Wang, F Zhu, R Zhao, H Li European Conference on Computer Vision (ECCV), Spotlight, 2020 | 174 | 2020 |
| Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification X Zhang*, Y Ge*, Y Qiao, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 159 | 2021 |
| Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models Y Gu, X Wang, JZ Wu, Y Shi, Y Chen, Z Fan, W Xiao, R Zhao, S Chang, ... NeurIPS, 2023 | 138 | 2023 |
| Unireplknet: A universal perception large-kernel convnet for audio, video, point cloud, time-series and image recognition X Ding, Y Zhang, Y Ge, S Zhao, L Song, X Yue, Y Shan CVPR 2024, 2023 | 130 | 2023 |
| Seed-bench-2: Benchmarking multimodal large language models B Li, Y Ge, Y Ge, G Wang, R Wang, R Zhang, Y Shan arXiv preprint arXiv:2311.17092, 2023 | 122 | 2023 |
| DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network R Liu, Y Ge, CL Choi, X Wang, H Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 114 | 2021 |
| Online pseudo label generation by hierarchical cluster dynamics for adaptive person re-identification Y Zheng, S Tang, G Teng, Y Ge, K Liu, J Qin, D Qi, D Chen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 111 | 2021 |
| Object-aware Video-language Pre-training for Retrieval AJ Wang, Y Ge, G Cai, R Yan, X Lin, Y Shan, X Qie, MZ Shou IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 89 | 2021 |
| Making llama see and draw with seed tokenizer Y Ge, S Zhao, Z Zeng, Y Ge, C Li, X Wang, Y Shan ICLR 2024, 2023 | 82 | 2023 |
| Progressive Correspondence Pruning by Consensus Learning C Zhao*, Y Ge*, F Zhu, R Zhao, H Li, M Salzmann IEEE/CVF International Conference on Computer Vision (ICCV), 2021 | 81 | 2021 |
Ying ShanDistinguished Scientist at Tencent, Director of ARC Lab & AI Lab CVC在 tencent.com 的电子邮件经过验证