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Ph.D candidate
Georgia Institute of Technology
Email: vitec6 <AT> gmail <dot> com
[Resume] [GitHub] [LinkedIn] [Twitter] [Google Scholar]

About me

My name is Min-Hung Chen. I am a Ph.D. candidate at Georgia Tech. In recent years, I have been primarily focusing on the research fields at the intersection of Computer Vision, Transfer Learning, and Video Understanding. I have conducted researches on domain adaptation, transfer learning, self-supervised learning, action segmentation, action recognition, video understanding, temporal dynamics understanding.

Career

• Baidu USA (Summer 2019 - Fall 2019)
• Sony Interactive Entertainment (Summer 2018)
• Aipoly (Fall 2017)
• Georgia Institute of Technology (Fall 2014 - Summer 2020)
• Academia Sinica (Summer 2013 - Summer 2014)
• National Taiwan University (Fall 2006 - Spring 2012)

Selected Publications

Please see my Google Scholar for complete publication list.

• Conferences
  • Min-Hung Chen, Baopu Li, Yingze Bao, Ghassan AlRegib, and Zsolt Kira, “Action Segmentation with Joint SelfSupervised Temporal Domain Adaptation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  • Min-Hung Chen, Baopu Li, Yingze Bao, and Ghassan AlRegib, “Action Segmentation with Mixed Temporal Domain Adaptation”, IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.
  • Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen, and Jian Zheng, “Temporal Attentive Alignment for Large-Scale Video Domain Adaptation”, IEEE International Conference in Computer Vision (ICCV), 2019. [Oral (acceptance rate: 4.6%), travel grant awarded].
  • Yen-Yu Lin, Ju-Hsuan Hua, Nick C. Tang, Min-Hung Chen, and Hong-Yuan Mark Liao, “Depth and Skeleton Associated Action Recognition without Online Accessible RGB-D Cameras”, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
• Journals (*equal contribution)
  • Chih-Yao Ma*, Min-Hung Chen*, Zsolt Kira and Ghassan AlRegib, “TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition”, Signal Processing: Image Communication (SPIC), 2019.
  • Dogancan Temel, Min-Hung Chen, and Ghassan AlRegib, “Traffic Sign Detection Under Challenging Conditions: A Deeper Look into Performance Variations and Spectral Characteristics”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2019.
• Patents
  • Ghassan AlRegib, Min-Hung Chen, David McCreadie, and Daniel Lewis Boston, “Color Learning”, U.S. Patent No. 10552692, 2020.