Hierarchical clustering with hard-batch triplet loss for person re-identification K Zeng, M Ning, Y Wang, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 348 | 2020 |
Video-llava: Learning united visual representation by alignment before projection B Lin, Y Ye, B Zhu, J Cui, M Ning, P Jin, L Yuan arXiv preprint arXiv:2311.10122, 2023 | 242 | 2023 |
Mil-vt: Multiple instance learning enhanced vision transformer for fundus image classification S Yu, K Ma, Q Bi, C Bian, M Ning, N He, Y Li, H Liu, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 136 | 2021 |
Llm lies: Hallucinations are not bugs, but features as adversarial examples JY Yao, KP Ning, ZH Liu, MN Ning, YY Liu, L Yuan arXiv preprint arXiv:2310.01469, 2023 | 115 | 2023 |
Moe-llava: Mixture of experts for large vision-language models B Lin, Z Tang, Y Ye, J Cui, B Zhu, P Jin, J Huang, J Zhang, Y Pang, ... arXiv preprint arXiv:2401.15947, 2024 | 111 | 2024 |
Dense cross-query-and-support attention weighted mask aggregation for few-shot segmentation X Shi, D Wei, Y Zhang, D Lu, M Ning, J Chen, K Ma, Y Zheng European Conference on Computer Vision, 151-168, 2022 | 99 | 2022 |
Languagebind: Extending video-language pretraining to n-modality by language-based semantic alignment B Zhu, B Lin, M Ning, Y Yan, J Cui, HF Wang, Y Pang, W Jiang, J Zhang, ... arXiv preprint arXiv:2310.01852, 2023 | 97 | 2023 |
3D deeply-supervised U-net based whole heart segmentation Q Tong, M Ning, W Si, X Liao, J Qin Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS …, 2018 | 61 | 2018 |
Unsupervised domain adaptation for medical image segmentation by disentanglement learning and self-training Q Xie, Y Li, N He, M Ning, K Ma, G Wang, Y Lian, Y Zheng IEEE Transactions on Medical Imaging 43 (1), 4-14, 2022 | 58 | 2022 |
Multi-anchor active domain adaptation for semantic segmentation M Ning, D Lu, D Wei, C Bian, C Yuan, S Yu, K Ma, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 51 | 2021 |
An inclusive task-aware framework for radiology report generation L Wang, M Ning, D Lu, D Wei, Y Zheng, J Chen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 32 | 2022 |
Deformer: Towards displacement field learning for unsupervised medical image registration J Chen, D Lu, Y Zhang, D Wei, M Ning, X Shi, Z Xu, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
Energy clustering for unsupervised person re-identification K Zeng, M Ning, Y Wang, Y Guo Image and Vision Computing 98, 103913, 2020 | 26 | 2020 |
Video-bench: A comprehensive benchmark and toolkit for evaluating video-based large language models M Ning, B Zhu, Y Xie, B Lin, J Cui, L Yuan, D Chen, L Yuan arXiv preprint arXiv:2311.16103, 2023 | 21 | 2023 |
A new bidirectional unsupervised domain adaptation segmentation framework M Ning, C Bian, D Wei, S Yu, C Yuan, Y Wang, Y Guo, K Ma, Y Zheng Information Processing in Medical Imaging: 27th International Conference …, 2021 | 17 | 2021 |
Chatlaw: A multi-agent collaborative legal assistant with knowledge graph enhanced mixture-of-experts large language model J Cui, M Ning, Z Li, B Chen, Y Yan, H Li, B Ling, Y Tian, L Yuan arXiv preprint arXiv:2306.16092, 2024 | 14 | 2024 |
Repaint123: Fast and High-Quality One Image to 3D Generation with Progressive Controllable Repainting J Zhang, Z Tang, Y Pang, X Cheng, P Jin, Y Wei, X Zhou, M Ning, L Yuan European Conference on Computer Vision, 303-320, 2025 | 13 | 2025 |
Ensembled resunet for anatomical brain barriers segmentation M Ning, C Bian, C Yuan, K Ma, Y Zheng Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 10 | 2021 |
Deviation based clustering for unsupervised person re-identification M Ning, K Zeng, Y Guo, Y Wang Pattern Recognition Letters 135, 237-243, 2020 | 10 | 2020 |
Automatic quantification of retinal photoreceptor integrity to predict persistent disease activity in neovascular age-related macular degeneration using deep learning X Song, Q Xu, H Li, Q Fan, Y Zheng, Q Zhang, C Chu, Z Zhang, C Yuan, ... Frontiers in Neuroscience 16, 952735, 2022 | 8 | 2022 |