Capstone Project
Jan 1, 2021
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1 min read
Low-Resolution Face Recognition Algorithms and Noise Effects
- Implemented face detection and alignment with Multi-task Cascaded Convolutional Networks on FERET and SCface.
- Compared Identity-Aware LRFR with SphereFace for low-resolution face recognition.
- Proposed improvements to make LRFR methods more robust to noise in surveillance-style settings.

Authors
Ph.D. Candidate
I am a second-year Ph.D. student in Mechanical Engineering at Northeastern University, advised by Prof. Sze Zheng Yong. My research lies at the intersection of control theory and machine learning, with a focus on data-driven control with constraint satisfaction, as well as safe planning and control under uncertainty.
I received my M.S. in Mechanical Engineering from the University of Illinois Urbana-Champaign (UIUC), where I was advised by Prof. Naira Hovakimyan. Prior to that, I earned my B.Eng. in Electronic and Information Engineering from The Hong Kong Polytechnic University (PolyU).