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Chih-Hui (John) Ho

何智輝

San Diego, US

chh279(at)eng.ucsd.edu

bill83221(at)gmail.com

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About

I am currently a third year PhD student in University of California San Diego (UCSD). My research mainly focus on multiview recognition, stucture embedding and self-supervised learning I recieved my master degree in UCSD CSE and bachelor degee from National Chiao Tung University in Taiwan. Before joining UCSD, I worked as a research assistant in Computer Vision Research Center in NCTU. I was an exchange student in University of Illinois at Urbana Champaign during my junior year and was a research intern in Cornell University. My areas of research interest are computer vision, image processing, machine learning, and deep learning.

News

  • 07/2020: 1 paper accepted in ECCV 2020
  • 07/2020: I will be serving as a reviewer of ECCV2020 Workshop on Imbalance Problems in Computer Vision (IPCV)
  • 06/2020: I will be serving as a reviewer of WACV (2021), NIPS (2020), ACCV (2020)
  • 03/2020: 1 paper accepted in CVPR 2020
  • 08/2019: 1 preprint paper published on arxiv
  • 06/2019: Graduating with master degree from UCSD Computer Science Engineering (CSE) department.
  • 05/2019: I passed the preliminary exam in UCSD Electrical and Computer Engineering (ECE).
  • 03/2019: 2 papers accepted in CVPR 2019, Long Beach, California

Selected publications

A New Technique of Camera Calibration: A Geometric Approach Based on Principal Lines
Jen-Hui Chuang, Chih-Hui Ho, Ardian Umam, HsinYi Chen, Mu-Tien Lu, Jenq-Neng Hwang, Tai-An Chen
Arxiv preprint, 2019
[Arxiv]
PIEs: Pose Invariant Embeddings
Chih-Hui Ho, Pedro Morgado, Amir Persekian, Nuno Vasconcelos
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, United States, 2019
[Webpage] [Paper] [Supplementary material] [Code]
Catastrophic Child’s Play: Easy to Perform, Hard to Defend Adversarial Attacks
Chih-Hui Ho*, Brandon Leung*, Erik Sandstrom, Yen Chang, Nuno Vasconcelos (*indicate equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, United States, 2019
[Webpage] [Paper] [Supplementary material]