胡宇韬，博士，副教授，碩士生導師。2017年2022年先後于北京航空航天大學獲得學士、博士學位。2022年至2024年于香港大學進行博士後研究。近期主要研究方向為：多模态學習、醫學影像處理等。在計算機視覺領域頂級會議、期刊（CVPR、ICCV、ECCV等）發表論文近20篇，長期擔任多個國際著名期刊、會議（CVPR、ICCV、ECCV、IEEE-TIP、IEEE-TNNLS等）的審稿人。
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News
2025.04, one paper is accepted by IEEE-TGRS!
2025.02, one paper is accepted by CVPR2025！
1-計算機視覺，多模态學習
2-醫學圖像處理
2013-2017 北京航空航天大學，學士學位
2017-2022 北京航空航天大學空地一體新航行系統技術全國重點實驗室，博士學位
2022-2024 香港大學HKU-MMLab 博士後研究員
2024至今bet356手机版唯一官网計算機學院，副教授
* 共同一作; # 通訊作者。完整的論文列表見我的谷歌學術主頁
Hu Y, Wang Q, Shao W, et al. Beyond One-to-One: Rethinking the Referring Image Segmentation [C]. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023: 4067-4077. (計算機視覺領域頂會，CCF-A，Oral)
Hu Y, Li T, Lu Q, et al. OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM [C]. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024. (計算機視覺領域頂會，CCF-A)
Hu Y, Jiang X, Liu X, et al. Nas-Count: Counting-by-Density with Neural Architecture Search[C]. In Proceedings of the European Conference on Computer Vision. 2020: 747-766. （計算機視覺領域頂級會議，CCF-B）
Hu Y, Jiang X, Liu X, et al. Hierarchical Self-Distilled Feature Learning for Fine-Grained Visual Categorization [J]. IEEE Transactions on Neural Networks and Learning Systems, 2021: Early Access. (SCI, IF: 10.4, 中科院Q1)
Hu Y, Huang X, Luo X, et al. Variational Self-Distillation for Remote Sensing Scene Classification [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-13. (SCI, IF: 8.2, 中科院Q1)
Hu Y, Liu X, Zhang B, et al. Alignment Enhancement Network for Fine-Grained Visual Categorization [J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2021, 17(1): 1-20. (SCI, IF: 5.1, JCR: Q1)
Hu Y, Huang X, Luo X, et al. Learning Foreground Information Bottleneck for Few-Shot Semantic Segmentation [J]. Pattern Recognition, 2024, 146, 1-10.（SCI, IF: 8.0, 中科院Q1）
Hu Y, Yang Y, Zhang J, et al. Attentional Kernel Encoding Networks for Fine-Grained Visual Categorization [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2020, 31(1): 301-314. (SCI, IF: 8.4, 中科院Q1)
Huang X, Hu Y#, Luo X, et al. Learning Foreground Information Bottleneck for Few-Shot Semantic Segmentation [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(6): 2813-2825. (#通訊作者，SCI, IF: 8.4, 中科院Q1)
