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徐新 教授

个人简介

  • IEEE Senior Member,香涛学者特聘教授,湖北省青年科技晨光计划人选,武汉科技大学计算机科学与技术学院科研副院长、博士生导师。上海交通大学博士后、博士、学士,新加坡南洋理工大学CSC访问学者。获湖北省第四届高校青年教师教学竞赛奖,武汉科技大学十佳优秀研究生导师,武汉科技大学优秀研究生导师团队负责人,武汉科技大学第十届利尔杯十佳青年教师等荣誉。担任SCI国际期刊编委,CCF-A类国际会议SPC;担任多个国际会议的大会主席,在多个国际会议上做大会主旨报告。长期从事计算机视觉和人工智能等领域的教学科研与成果转化工作,在面向夜间低照度场景的目标检测和行人重识别方向深入开展了相关研究。作为项目单位负责人先后主持国家自然科学基金4项,湖北省高校省级教学改革研究项目1项。在CCF-A类、IEEE/ACM Trans.、中科院SCI一区等国内外期刊上发表论文160余篇,授权专利及软著三十余项;成果入选CCF-A类国际会议ICML亮点论文、CAA-A类国际期刊封面论文、CCF-B类国际会议最佳论文提名奖,获湖北省科技进步二等奖2项。

承担项目

  • 国家自然科学基金(课题编号: 62376201) “面向长时安防监控的光照自适应行人重识别方法研究”
  • 国家自然科学基金(课题编号: U1803262) “面向社会安全的视频长程群体行人重识别与多元分析技术”
  • 国家自然科学基金(课题编号: 61602349) “面向夜间视频的视觉显著性模型研究”
  • 国家自然科学基金(课题编号: 61440016) “面向夜间视频的协同显著性目标检测关键技术研究”
  • 发表论文

    • TH-Mamba: Spatial-Temporal Correlation Learning for Mamba-based Talking Head Generation. IEEE Transactions on Circuits and Systems for Video Technology, 2025.
    • Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID. in Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2025.
    • Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection. Forty-Second International Conference on Machine Learning (ICML), 2025. (亮点论文)
    • The Parables of the Mustard Seed and the Yeast: Extremely Low-Budget, High-Performance Nighttime Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
    • TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025.
    • Mix-Modality Person Re-Identification: A New and Practical Paradigm. ACM Transactions on Multimedia Computing, Communications, and Applications, 2025.
    • An Adaptive ICP LiDAR Odometry Based on Reliable Initial Pose. IEEE Transactions on Instrumentation and Measurement, 2025.
    • Multi-Objective Optimization for Multimodal Multi-Objective Multi-Point Shortest Path Problem Considering Unforeseeable Road Eventualities. IEEE Transactions on Intelligent Transportation Systems, 2025.
    • FMRNet: Image Deraining via Frequency Mutual Revision. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024.
    • Low-Light Salient Object Detection Meets the Small Size. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
    • Diversity-Representativeness Replay and Knowledge Alignment for Lifelong Vehicle Re-identification. ACM Transactions on Multimedia Computing, Communications, and Applications, 2024.
    • Blind 3D Video Stabilization with Spatio-Temporally Varying Motion Blur. ACM Transactions on Multimedia Computing, Communications, and Applications, 2024.
    • Image Enhancement via Associated Perturbation Removal and Texture Reconstruction Learning. IEEE/CAA Journal of Automatica Sinicas, 2024.
    • Informative Classes Matter: Towards Unsupervised Domain Adaptive Nighttime Semantic Segmentation. in Proceedings of the 31th ACM International Conference on Multimedia (ACM MM), 2023.
    • From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement. Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), 2023.
    • From Multi-Source Virtual to Real: Effective Virtual Data Search for Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems, 2023.
    • Searching Parameterized Retrieval & Verification Loss for Re-identification. IEEE Journal of Selected Topics in Signal Processing, 2023.
    • From Collective Attribute Association of Groups to Precise Attribute Association of Individuals. IEEE Transactions on Multimedia, 2023.
    • Towards generalizable person re-identification with a bi-stream generative model, Pattern Recognition, 2022.
    • Sampling and re-weighting: towards diverse frame aware unsupervised video person re-identification. IEEE Transactions on Multimedia, 2022.
    • Full coverage estimation of the PM2.5 concentration across China based on an adaptive spatiotemporal approach. IEEE Transactions on Geoscience and Remote Sensing, 2022.
    • Towards causality inference for very important person localization. in Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
    • Efficient virtual data search for annotation-free vehicle reidentification. International Journal of Intelligent Systems, 2022. (封面论文)
    • Rank-in-Rank Loss for Person Re-identification. ACM Transactions on Multimedia Computing, Communications, and Applications, 2022.
    • 多层感知机结合辐射传输模型的复杂陆地表面云检测. 电子学报, 2022.
    • Rethinking data collection for person re-identification: active redundancy reduction, Pattern Recognition, 2021.
    • Exploring image enhancement for salient object detection in low light images. ACM Transactions on Multimedia Computing, Communications, and Applications, 2021.
    • Retrieving the vertical distribution of PM2.5 mass concentration from lidar via a random forest model. IEEE Transactions on Geoscience and Remote Sensing, 2021.
    • Consistency-constancy bi-knowledge learning for pedestrian detection in night surveillance. in Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021, pp. 4463-4471.
    • Unsupervised video person re-identification via noise and hard frame aware clustering. IEEE International Conference on Multimedia and Expo (ICME 2021), 2021. (最佳论文奖提名, 4/1321)
    • Low-Light Image Enhancement with Semi-Decoupled Decomposition. IEEE Transactions on Multimedia, 2020.
    • 一种鲁棒的夜间图像显著性对象检测模型. 软件学报, 2018.