Publication
His citation profile in Google Scholar.
Please email me if you require a copy of the paper.
Conference Paper
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong MU,
“Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce”,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
Yang Jin, Yongzhi Li, Zehuan Yuan, Yadong MU,
“Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding”,
NeurIPS 2022[pdf]
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]
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]
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]
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]
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]
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]