Chin-an Cheng
Senior Computer Vision And Machine Learning Engineer at Lumachain
Taiwan
Summary
👤
Senior🎓
Top SchoolChin-an Cheng is a Senior Computer Vision and Machine Learning Engineer based in Taiwan with a decade of engineering experience and over four years focused on vision-based systems. He has driven research-to-product projects at National Tsing Hua University — including a CES‑shown home care assistant and a CVPR Probabilistic Object Detection Challenge–winning system — and now leads CV/ML efforts at Lumachain. His work spans human pose estimation, object tracking, activity recognition, probabilistic detection, and pose estimation for robotic grasping, blending academic rigor with production deployment. Comfortable across research, teaching, and industry R&D, he has a strong background in multimodal systems and end-to-end trainable architectures that reduce manual labeling. Colleagues would note his knack for turning complex perception research into practical, deployable systems on constrained hardware and cloud platforms.
10 years of coding experience
6 years of employment as a software developer
Master of science degree Electrical and Electronics Engineering, Master of science degree Electrical and Electronics Engineering at National Tsing Hua University
Chinese, English
Github Skills (19)
activity-recognition10
video-understanding10
action-recognition10
prediction10
interaction8
python8
markov-decision-processes7
value-iteration7
object-detection7
visual-recognition7
robotics6
computer-vision5
deep-learning4
pose-estimation4
reinforcement-learning4
Programming languages (3)
Github contributions (5)
chinancheng/awesome-activity-prediction
Mar 2018 - Jan 2020
Paper list of activity prediction and related area
Contributions:15 commits, 3 PRs, 7 pushes in 1 year 10 months
paper-listpythonpredictionaction-recognitionactivity-recognition
chinancheng/awesome-human-object-interaction
Jan 2020 - Dec 2020
Paper list of human object interaction (HOI)
Contributions:5 commits, 1 PR, 2 pushes in 11 months
human-object-interactioninteractiondeep-learningcomputer-visionhuman-activity-recognition
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