Aber Hu
Research Assistant at CRIPAC, NLPR, CASIA
Haidian District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolAber Hu is a research-focused computer vision engineer with 7 years’ experience at the National Laboratory of Pattern Recognition (CASIA), where he applies deep learning to face recognition, generation and editing. With a Master’s in Computer Vision and Pattern Recognition and a bachelor's in Software Engineering, he blends strong theoretical foundations with practical research execution. Known for creativity, steady temperament and clear communication, he regularly collaborates across teams to drive results under pressure. Beyond standard model development, he brings hands-on expertise in face-related tasks and a proven ability to motivate peers toward high-quality, reproducible research outcomes.
7 years of coding experience
Bachelor's degree, Computer Software Engineering, 4, Bachelor's degree, Computer Software Engineering, 4 at Dalian University of TechnologyMaster's degree, Computer Vision, Deep Learning, Pattern Recognition, Master's degree, Computer Vision, Deep Learning, Pattern Recognition at Institute of Automation, Chinese Academy of Sciences
Github Skills (10)
incremental-learning10
pytorch10
model-compression10
face-recognition9
toolbox9
deep-learning9
re-identification9
face9
face-detection8
arcface6
Programming languages (1)
Github contributions (5)
AberHu/Knowledge-Distillation-Zoo
Feb 2019 - Nov 2021
Pytorch implementation of various Knowledge Distillation (KD) methods.
Contributions:65 commits, 61 pushes, 1 branch in 2 years 9 months
pytorchdistillationknowledge-distillationknowledgedeep-learning
AberHu/TF-NAS
Jul 2020 - Aug 2020
Contributions:10 commits, 13 pushes, 1 branch in 1 month
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