Mingmin Zhen

About

I'm a PH.D. student in department of Computer Science and Engineering, Hong Kong University of Science and Technology from 2016 to now, under the supervision of Prof. Long Quan. I received my Master degree in Computer Science from the Peking University in 2016 and Bachelor degree from NanKai University in 2013. My research interests are machine learning, semantic segmentation, saliency detection and their applications to computer vision.

Basic Information

Address:

Rm 4204, Academic Building, Clear Water Bay, Kowloon, Hong Kong

Email:

mzhen@cse.ust.hk

Publications

Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation. [PDF]
Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan. European Conference on Computer Vision (ECCV), 2020.
DAVIS 2016 Results [Val]
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction. [PDF]
Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan. European Conference on Computer Vision (ECCV), 2020.
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency. [PDF]
Jiaxiang Shang, Tianwei Shen, Shiwei Li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan. European Conference on Computer Vision (ECCV), 2020.
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds. [PDF]
Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai. European Conference on Computer Vision (ECCV), 2020.
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts. [PDF]
Mingmin Zhen, Jinglu Wang, Lei Zhou, Shiwei Li, Tianwei Shen, Jiaxiang Shang, Tian Fang, Quan Long. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Semantic Segmentation [Test] [Val], Semantic Boundary [Result]
KFNet: Learning Temporal Camera Relocalization using Kalman Filtering. [PDF] [Code]
Lei Zhou, Zixin Luo, Tianwei Shen, Jiahui Zhang, Mingmin Zhen, Yao Yao, Tian Fang, Long Quan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Cross-atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface. [PDF]
Shiwei Li, Zixin Luo, Mingmin Zhen, Yao Yao, Tianwei Shen, Tian Fang, Long Quan. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Learning Fully Dense Neural Networks for Image Semantic Segmentation. [PDF]
Mingmin Zhen, Jinglu Wang, Lei Zhou, Tian Fang, Long Quan. The Thirty-Third AAAI Conference on Artificial Intelligence, 2019, Honolulu, Hawaii, USA.
Learning and Matching Multi-View Descriptors for Registration of Point Clouds. [PDF] [Code]
Lei Zhou, Siyu Zhu, Zixin Luo, Tianwei Shen, Runze Zhang, Mingmin Zhen, Tian Fang, Long Quan. European Conference on Computer Vision (ECCV), 2018.
Regional Subspace Projection Coding for Image Retrieval.
Mingmin Zhen, Wenmin Wang and Ronggang Wang. Accepted as long paper for oral representation in ACM International Conference on Multimedia Retrieval (ICMR), 2016. New York, USA.
Improving VLAD with Regional PCA Whitening.
Mingmin Zhen, Wenmin Wang and Ronggang Wang. IEEE International Conference on Visual Communications and Image Processing (VCIP), 2015. Singapore.
Improved Cluster Center Adaption for Image Classification.
Mingmin Zhen, Wenmin Wang and Ronggang Wang. IEEE International Conference on Image Processing (ICIP), 2015, pp.3092-3095. Quebec City, Canada.
Signature of Unique Angles Histograms for 3D Data Description.
Mingmin Zhen, Wenmin Wang and Ronggang Wang. Workshop on Hot Topics in 3D Multimedia (Hot3D), IEEE International Conference on Multi Media & Expo (ICME), 2015. Torino, Italy.