CHIHO CHOI, Ph.D.

Scientist at Honda Research Institute USA

Computer Vision · Machine Learning

My research interest lies at the intersection of machine learning and computer vision, focusing on computational learning for understanding and predicting human behavior in an everyday environment. In this area, I boradly build machine learning algorithms for computer vision systems.

If you are interested in an internship position for human behavior prediction, please apply through this link with your CV (strong publication record preferred).


Experience

Scientist

Honda Research Institute USA · Mountain View, CA

Work on understanding, analysis, and prediction of human behavior in traffic scenes as well as indoor environments.

February 2018 - Present

Intern

HERE Technologies · Chicago, IL

Devised a framework to select more valuable training data from a model perspective.
Worked on large-scale traffic scene understanding for Highly Automated Driving.
Mentors: Dr. Xiang Ma & Prof. Xin Chen

May 2017 - August 2017

Education

Purdue University

Ph.D., Electrical and Computer Engineering

Specialization: deep learning, 3D vision, recognition, tracking
Committee members: Prof. Karthik Ramani, Prof. Stanley H. Chan, Prof. Mireille Boutin, Prof. Jeffrey M. Siskind

January 2018

University of Southern California

M.S., Electrical Engineering

Specialization: 3D shape analysis (matching and registration)
Advisor: Prof. Suya You

May 2013

Hanyang University

B.S., Electronics and Computer Engineering
February 2011


Publications

Peer Reviewed Conference Proceedings

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

IEEE International Conference on Robotics and Automation (ICRA) 2019.
Y. Yao, M. Xu, C. Choi, D. Crandall, E. Atkins, and B. Dariush

Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution

International Conference on Learning Representations (ICLR) 2019.
M. Liu, F. Yao, C. Choi, A. Sinha, and K. Ramani

Learning Hand Articulations by Hallucinating Heat Distribution

IEEE International Conference on Computer Vision (ICCV) 2017.
C. Choi, S. Kim, and K. Ramani

Robust Hand Pose Estimation during the Interaction with an Unknown Object

IEEE International Conference on Computer Vision (ICCV) 2017.
C. Choi, S. H. Yoon, C. N. Chen, and K. Ramani

DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
C. Choi*, A. Sinha*, and K. Ramani

A Collaborative Filtering Approach to Real-time Hand Pose Estimation

IEEE International Conference on Computer Vision (ICCV) 2015.
C. Choi, A. Sinha, J. H. Choi, S. Jang, and K. Ramani


Technical Reports

Embedding Compressive Layers in Deep Neural Networks

http://www.chihochoi.me/embedding.pdf, May 2017.
C. Choi, S. Kim, J. H. Choi, and K. Ramani

Dense and Reliable Shape Matching using 3D Particle Filtering

USC CGIT Lab Technical Report, May 2013.
C. Choi and S. You

Services

  • Invited as a reviewer of the IEEE International Conference on Computer Vision (ICCV), 2019
  • Reviewer of the ACM CHI Conference on Human Factors in Computing Systems LBW, 2019
    Reviewer of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    Reviewer of the IEEE Asian Conference on Computer Vision (ACCV), 2018
    Reviewer of the IEEE Transactions on Image Processing, 2018
    Reviewer of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    Reviewer of the IEEE Transactions on Multimedia, 2017