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 check this link (strong publication record preferred).

Experience

Scientist

Honda Research Institute USA · San Jose, 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

2019

Potential Field: Interpretable and Unified Representation for Trajectory Prediction

arXiv preprint arXiv:1911.07414
S. Su, C. Peng, J. Shi, and C. Choi
arXiv

NEMO: Future Object Localization Using Noisy Ego Priors

arXiv preprint arXiv:1909.08150
S. Malla and C. Choi
arXiv

Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network

arXiv preprint arXiv:1909.05665
S. Bae, D. Saxena, A. Nakhaei, C. Choi, K. Fujimura, and S. Moura
arXiv

DROGON: A Causal Reasoning Framework for Future Trajectory Forecast

arXiv preprint arXiv:1908.00024
C. Choi, A. Patil, and S. Malla
arXiv

Looking to Relations for Future Trajectory Forecast

In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019.
C. Choi and B. Dariush
arXiv Magazine

Learning to Infer Relations for Future Trajectory Forecast

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2019.
C. Choi and B. Dariush
PDF Poster

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

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

2018

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

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

Computational Learning for Hand Pose Estimation

Ph.D. Dissertation, Purdue University.
C. Choi
e-Pub

2017

Learning Hand Articulations by Hallucinating Heat Distribution

In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2017.
C. Choi, S. Kim, and K. Ramani
PDF Supplementary

Robust Hand Pose Estimation during the Interaction with an Unknown Object

In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2017.
C. Choi, S. H. Yoon, C. N. Chen, and K. Ramani
PDF Supplementary

Embedding Compressive Layers in Deep Neural Networks

Purdue C-Design Lab Technical Report, May 2017.
C. Choi, S. Kim, J. H. Choi, and K. Ramani
PDF

2016

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

In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016.
C. Choi*, A. Sinha*, and K. Ramani
PDF Supplemenatry Video News Interview Blog

2015

A Collaborative Filtering Approach to Real-time Hand Pose Estimation

In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2015.
C. Choi, A. Sinha, J. H. Choi, S. Jang, and K. Ramani
PDF Supplementary Video

2013

Dense and Reliable Shape Matching using 3D Particle Filtering

USC CGIT Lab Technical Report, May 2013.
C. Choi and S. You
* co-first author

Services

  • Invited as a reviewer of the European Conference on Computer Vision (ECCV), 2020
    Reviewer of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
    Reviewer of the Association for Advancement of Artificial Intelligence (AAAI), 2020
    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