Ming

Ming

Ph.D. student at NUS, interested in computer vision and deep learning

Publications

Figure 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]

Figure 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]

Figure 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]

Figure 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]

Figure 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]

Figure 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]

Figure 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]

Figure 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]

Figure RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
Yun Yue, Ming Li, Venkatesh Saligramay, Ziming Zhang. ICPR. 2020.
[Paper][Code]

Figure 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]