论文

音视频学习、多模态智能、目标跟踪与可信人工智能方向的论文成果。

2026

  1. TASLP
    Semantic Modulated Prompting for Few-Shot Audio-Visual Classification
    Guanjie Huang, Yawen Cui, Danny Hin Kwok Tsang, and 2 位其他作者
    IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2026
    音视频学习小样本学习提示调优模态重平衡
  2. ICASSP
    Lend a Hand: Semi Training-Free Cued Speech Recognition via MLLM-Driven Hand Modeling
    Guanjie Huang, Danny H. K. Tsang, Xiao-Ping Zhang, and 1 more author
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026
    线索语识别多模态大模型免训练学习视觉语音
  3. ACM MM
    PhyAVBench: A Physical-Centric Audio-Visual Benchmark for Video Generation
    Tianxin Xie, Wentao Lei, Guanjie Huang, and 1 more author
    In Proceedings of the ACM International Conference on Multimedia口头报告, 2026
    音视频生成物理规律对齐评测基准文本到音视频

2025

  1. ACM MM
    Cued-Agent: A Multi-Agent Framework for Automatic Cued Speech Recognition
    Guanjie Huang, Danny H. K. Tsang, Shan Yang, and 2 位其他作者
    In Proceedings of the ACM International Conference on Multimedia口头报告, 2025
    线索语识别多智能体系统多模态学习大模型自校正
  2. CVPRW
    Underwater Camouflaged Object Tracking Meets Vision-Language SAM2
    Chunhui Zhang, Li Liu, Guanjie Huang, and 5 位其他作者
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
    水下目标跟踪伪装目标视觉语言模型SAM2

2024

  1. NeurIPS
    WebUOT-1M: Advancing Deep Underwater Object Tracking with a Million-Scale Benchmark
    Chunhui Zhang, Li Liu, Guanjie Huang, and 3 位其他作者
    In Advances in Neural Information Processing Systems, 2024
    水下目标跟踪大规模评测基准多模态跟踪目标跟踪
  2. ICSR
    Content-Aware Efficient Learner for Audio-Visual Emotion Recognition
    Guanjie Huang, Weilin Lin, and Li Liu
    In Social Robotics, 2024
    音视频情感识别参数高效学习多模态融合情感计算

2023

  1. TPAMI
    WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking
    Chunhui Zhang, Guanjie Huang, Li Liu, and 5 位其他作者
    IEEE Transactions on Pattern Analysis and Machine Intelligence共同第一作者。 , 2023
    无人机目标跟踪多模态跟踪大规模数据集视觉目标跟踪