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cmhungsteve/README.md

Hi there 👋

My name is Min-Hung (Steve) Chen (陳敏弘 in Chinese). I am a Research Engineer II at Microsoft Azure AI, working on Cutting-edge AI Research for Cognitive Services. I received my Ph.D. degree from Georgia Tech, advised by Prof. Ghassan AlRegib and in collaboration with Prof. Zsolt Kira. Before joining Microsoft, I was a Senior AI Engineer at MediaTek, working on Deep Learning Research for Edge-AI and Vision Transformer.

My research interest is mainly on Learning without Fully Supervision, including domain adaptation, continual learning, self-/semi-supervised learning, etc. In addition, I have also conducted researches on transformer, attention, transfer learning, action segmentation, action recognition, video understanding, and temporal dynamics understanding.

[Update] I released a comprehensive paper list for Vision Transformer & Attention to facilitate related research. Feel free to check it (I would be appreciative if you can ★STAR it)!

[Personal Website][LinkedIn][Twitter][Google Scholar][Resume]

Min-Hung (Steve)'s GitHub stats

Pinned

  1. An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

    1.8k 185

  2. SSTDA Public

    [CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

    Python 147 22

  3. TA3N Public

    [ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

    Python 239 39

  4. Temporal Segments LSTM and Temporal-Inception for Activity Recognition

    Lua 432 150

  5. CURE-TSD: Challenging Unreal and Real Environments for Traffic Sign Detection

    42 11

427 contributions in the last year

Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Mon Wed Fri

Contribution activity

October 2022

2 contributions in private repositories Oct 1 – Oct 15

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