Work Experience


  1. Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong MU, “Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding”, NeurIPS 2022[pdf]

  2. Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu,
    “Learning 3-D Human Pose Estimation from Catadioptric Videos”, The 30th International Joint Conference on Artificial Intelligence (IJCAI) 2021.[pdf] [bibtex]

  3. Yongzhi Li, Yadong Mu, Nan Zhuang, Xianglong Liu “Efficient Fine-Grained Visual-Text Search Using Adversarially-Learned Hash Codes”, IEEE International Conference on Multimedia and Expo (ICME) 2021. [pdf] [bibtex]

  4. Liangfeng Zheng, Yongzhi Li, Yadong Mu “Learning Factorized Cross-View Fusion for Multi-View Crowd Counting”, IEEE International Conference on Multimedia and Expo (ICME) 2021.[pdf] [bibtex]

  5. Yongzhi Li, Duo Zhang, Yadong Mu, “Visual-Semantic Matching by Exploring High-Order Attention and Distraction”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020. [pdf] [Bibtext]

  6. Yongzhi Li, Lu Chi, Guiyu Tian, Yadong Mu, Shen Ge, Zhi Qiao, Xian Wu, Wei Fan, “Spectrally-Enforced Global Receptive Field for Contextual Medical Image Segmentation and Classification”, IEEE International Conference on Multimedia and Expo (ICME) 2020. [pdf] [Bibtext]

  7. Xinyu Weng, Yongzhi Li, Lu Chi, Yadong Mu, “High-Capacity Convolutional Video Steganography with Temporal Residual Modeling”, ACM International Conference on Multimedia Retrieval (ICMR) 2019. (Oral Presentation) [pdf] [Bibtext]


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