Chiho Choi, Ph.D.

Scientist at Honda Research Institute USA
I'm

About Me

I am a Scientist at Honda Research Institute USA. I received my Ph.D. in the school of Electrical and Computer Engineering at Purdue University in 2018, where I was advised by Prof. Karthik Ramani. Previously, I received a B.S. from Hanyang University, Korea in 2011, and a M.S. from University of Southern California, in 2013.

  • Work: Honda Research Institute USA
  • Title: Scientist
  • E-mail: chihochoi AT outlook DOT com

 

Research Interest

My research interest lies at the intersection of computer vision and machine learning, focusing on understanding and prediction of human behavior in a highly interactive environment. In this area, I build a new perspective for the safe operation of vehicles and robots designed to cooperate with humans.

  • Trajectory Forecast
  • Action Recognition
  • Uncertainty Modeling
  • Behavior Understanding
  • Intention Prediction
  • Pose Estimation

If you are interested in an internship position for human behavior prediction, please check this link (strong publication record preferred).

Facts

246

Citations

19

Papers

14

Patents

29

Collaborators

Curriculum Vitae

Click here to download my full CV.

Work Experience

Scientist

Feb 2018 - Present

Honda Research Institute USA, San Jose, CA

  • Leading multiple projects on recognition and prediction of human action, intention, and future behavior
  • Worked on understanding and prediction of human behavior in indoor and outdoor environments
  • Publications in CVPR (oral), ICCV, ACC, and ICRA

Intern

May 2017 - Aug 2017

HERE Technologies, Chicago, IL

  • Developed a data selection framework generalizable to machine learning systems
  • Worked on large-scale traffic scene understanding for Highly Automated Driving

Education

Ph.D., Electrical & Computer Engineering

Jan 2018

Purdue University, West Lafayette, IN

Specialization: deep learning, 3D vision, recognition, tracking

M.S., Electrical Engineering

May 2013

University of Southern California, Los Angeles, CA

Specialization: 3D shape analysis (matching and registration)

B.S., Electronics & Computer Engineering

Feb 2011

Hanyang University, Seoul, Korea

Minor: Mechanical Engineering

Selected Projects

Future Forecast using Action Priors

Jul 2019 - Nov 2019
  • Organized hierarchical action attributes of traffic participants, and explored a role of agents’ actions for future motion prediction
  • Role: Project leader
  • S. Malla, B. Dariush, and C. Choi. “TITAN: Future Forecast using Action Priors”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, to appear as oral.

Interpretable and Unified Representation for Future Prediction

Jul 2019 - Nov 2019
  • Proposed a potential filed as interpretable representations that can be easily unified over the information of different stimuli
  • Role: Project leader
  • S. Su, C. Peng, J. Shi, and C. Choi. “Potential Field: Interpretable and Unified Representation for Trajectory Prediction”. arXiv preprint arXiv:1911.07414, 2019.

Causal reasoning for Future Forecast

Feb 2019 - May 2019
  • Designed a framework to understand a causal relationship between intention and behavior. Predicted goal-oriented trajectories of vehicles conditioned on the intention of drivers
  • Role: Project leader / Sole developer
  • C. Choi, A. Patil, and S. Malla. “DROGON: A Causal Reasoning Framework for Future Trajectory Forecast”. arXiv preprint arXiv:1908.00024, 2019.

Relational Inference for Future Forecast

Feb 2018 - Jan 2019
  • Designed a relation-aware framework for future trajectory forecast, which aims to infer relational information from the interactions of road agents (pedestrians, drivers, cyclists, etc) with each other and with the environment
  • Role: Project leader / Sole developer
  • C. Choi and B. Dariush. “Looking to Relations for Future Trajectory Forecast”. Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2019.

Publications

2020

Shared Cross-Modal Trajectory Prediction for Autonomous Driving
arXiv preprint arXiv: 2004.00202
C. Choi
arXiv
EvolveGraph: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction with Evolving Interaction Graphs
arXiv preprint arXiv:2003.13924
J. Li, F. Yang, M. Tomizuka, and C. Choi+
arXiv
SSP: Single Shot Future Trajectory Prediction
arXiv preprint arXiv: available soon
I. Dwivedi, S. Malla, B. Dariush, and C. Choi+
arXiv
TITAN: Future Forecast using Action Priors
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020, to appear as oral.
S. Malla, B. Dariush, and C. Choi+
arXiv Dataset

 

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, I. Dwivedi, B. Dariush, and C. Choi+
arXiv Dataset
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network
In Proceedings of the American Control Conference (ACC) 2020, to appear.
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 Code Dataset News
Computational Learning for Hand Pose Estimation
Ph.D. Dissertation, Purdue University, Jan 2018.
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.
A. Sinha*, C. Choi*, 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
+ corresponding author

Academic Services

  • Reviewer of the Neural Information Processing Systems (NeurIPS), 2020
  • Reviewer of the European Conference on Computer Vision (ECCV), 2020
  • Reviewer of the IEEE Intelligent Vehicles Symposium, 2020
  • Reviewer of the IEEE Transactions on Intelligent Vehicles, 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