Publications
EventGPT: Event Stream Understanding with Multimodal Large Language Models
Shaoyu liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, and Ming Li*. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Edge Devices
Meihan Wu, Tao Chang, Miaocui, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li*, and Xiaodong Wang. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]
Gaussian Splatting Stylization with Customized Reference via Dynamic Style Score Distillation
Cailin Zhuang, Yaoqi Hu, Jiacheng Bao, Song Tong, Tao He, Chun Li, Lan Xu, and Ming Li*. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]
SE-MOT: End-to-End Multi-Object Tracking in Low-Quality Video Scenes Guided by Semantic Enhancement
Jun Du , Weiwei Xing, Ming Li*, and Fei Richard Yu. Under Review. 2024. (*Corresponding Authors)
[Paper][Project]
Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using H¨older Divergence and Mutual Information-Enhanced Knowledge Transfer
Runze Cheng†, Xihang Qiu†, Ming Li†, Ye Zhang, Fei Richard Yu, and Chun Li. Under Review. 2024. (†Equal Contributors)
[Paper][Project]
RealEra: Semantic-level Concept Erasure via Neighbor-Concept Mining
Yufan Liu, Jinyang An, Wanqian Zhang, Ming Li*, Dayan Wu, Jingzi Gu, Zheng Lin and Weiping Wang. ArXiv. 2024. (*Corresponding Authors)
[Paper][Project]
Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
Zhipeng Xue†, Yan Zhang†, Ming Li†, Chun Li, Yue Liu, and Fei Richard Yu. Under Review. 2024. (†Equal Contributors)
[Paper][Project]
Uncertainty Quantification via Holder Divergence for Multi-View Representation Learning
Yan Zhang†, Ming Li†, Chun Li, Zhaoxia Liu, Ye Zhang, and Fei Richard Yu. Under Review. 2024. (†Equal Contributors)
[Paper][Project]
ColonNeRF: Neural Radiance Fields for High-Fidelity Long-Sequence Colonoscopy Reconstruction
Yufei Shi, Beijia Lu, Jia-Wei Liu, Ming Li and Mike Zheng Shou. arXiv. 2023.
[Paper][Project]
Semi-Supervised Disease Classification based on Limited Medical Image Data
Yan Zhang, Zhaoxia Liu, Chun Li and Ming Li. Journal of Biomedical and Health Informatics. 2024.
[Paper][Code]
Instant3D: Instant Text-to-3D Generation
Ming Li, Pan Zhou, Jia-Wei Liu, Jussi Keppo, Min Lin, Shuicheng Yan and Xiangyu Xu. International Journal of Computer Vision. 2024.
[Paper][Project]
FakePoI: A Large-scale Fake Person of Interest Video Detection Benchmark and a Strong Baseline
Lulu Tian, Hongxun Yao, and Ming Li. IEEE TCSVT. 2023.
[Paper][Code]
DR-FER: Discriminative and Robust Representation Learning for Facial Expression Recognition
Ming Li, Huazhu Fu, Shengfeng He, Hehe Fan, Jun Liu, Jussi Keppo and Mike Zheng Shou. IEEE TMM. 2023.
[Paper][Code]
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, and Shuicheng Yan. ICCV. 2023.
[Paper][Code]
Exploiting Multi-view Part-wise Correlation via an Efficient Transformer for Vehicle Re-Identification
Ming Li, Jun Liu, Ce Zheng, Xinming Huang, and Ziming Zhang. IEEE TMM. 2021 (ESI Highly Cited Paper).
[Paper]
Self-supervised Geometric Features Discovery with Interpretable Attention for Vehicle Re-Identification and Beyond
Ming Li, Xinming Huang, and Ziming Zhang. ICCV. 2021.
[Paper][Code]
TreeRNN: Topology-Preserving Deep Graph Embedding and Learning
Yecheng Lyu, Ming Li, Xinming Huang, Ulkuhan Guler, Patrick Schaumont, and Ziming Zhang. ICPR. 2020.
[Paper][Code]
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
Yun Yue, Ming Li, Venkatesh Saligramay, Ziming Zhang. ICPR. 2020.
[Paper][Code]
LodoNet: A Deep Neural Network with 2D Keypoint Matching for 3D LiDAR Odometry Estimation
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang. ACM MM. 2020.
[Paper]
