Ming

Ming

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

Publications

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.
[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]

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]

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

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]

Projects

CSCADA: Cycle and Semantic Consistency Adversarial Domain Adaptation for Cross-Modality Medical Image Segmentation
Ming Li. Research project. UNC at Chapel Hill, Chapel Hill, NC. 2019.

Style Transfer Based Unsupervised Retinal Vessel Segmentation Adaptation
Ming Li. Research project. UNC at Chapel Hill, Chapel Hill, NC. 2019.

Adversarial Retinal Vessel Segmentation
Ming Li. Research project. UNC at Chapel Hill, Chapel Hill, NC. 2018.

Other experience in Electronic Engineering
Ming Li. Research project. Peking University & Xidian University, China. 2015.