Chiho Choi, Ph.D.

Sr. Staff AI/ML Software Engineer

Device Solutions Research America @ Samsung

News

  • May 2024: "COPAL: Continual Pruning in Large Language Generative Models" is accepted to ICML 2024.
  • Oct 2023: 2 Papers are accpeted to WACV 2024.
  • Feb 2023: 3 Papers (1 paper as Highlight) are accpeted to CVPR 2023 - CVPR Oral for 4 years in a row.
  • Oct 2022: I Joined Samsung SSI as a AI/ML Software Engineer.
  • Aug 2022: "DRAMA: Joint Risk Localization and Captioning in Driving" is accepted to WACV 2023.
  • In 2022: Papers were accpeted to CVPR oral, CVPR, ICRA, IROS, ITSC, T-CST, RA-L.
  • In 2021: Co-organized the workshop on "Multi-Agent Interaction and Relational Reasoning" in conjunction with ICCV 2021.
  • In 2021: Papers were accpeted to CVPR oral, ICCV, ICRA, and RA-L.
  • In 2020: Papers were accpeted to CVPR oral, IROS, CoRL, ACC, and NeurIPS.
  • In 2019: Papers were accpeted to ICCV, CVPRW, ICRA, and ICLR.
  • In 2018: I Joined HRI as a Scientist.

About

  • Work: Samsung Semiconductor Inc.
  • City: San Jose, CA
  • Title: Senior Staff AI/ML Software Engineer
  • Email: chihochoi AT outlook DOT com

 

With a solid track record in computer vision and machine learning, I specialize in the development and deployment of cutting-edge algorithms across various domains (natural language processing, autonomous systems, human-robot cooperation, multi-agent interaction, cyber-physical systems, etc.). My current professional focus is set on developing large language and visual models and optimizing the scalability of their training and inference, targeting high performance with reduced computational costs.

  • Computer Vision
  • Machine Learning
  • Generative Modeling
  • Multi-modal Deep Learning

Facts

1509

Citations

44

Papers

35

Patents

64

Collaborators

Resume

Click here to download my full curriculum vitae.

Work Experience

Senior Staff AI/ML Software Engineer

Oct 2022 - Present

Samsung Semiconductor US, San Jose, CA

  • Tech Lead, directing the strategy of ML research and development projects in the Applied ML team
  • Guiding a team of engineers in the development of LLMs and related AI systems from conception through deployment
  • Designing and developing efficient computing algorithms for the expedited training and inference of generative AI models (large language and visual models)
  • Deployed Transformer-based ML models on heterogeneous computing planforms while optimizing computation latency and memory footprints

Senior Scientist

Jul 2021 - Oct 2022

Honda Research Institute USA, San Jose, CA

  • Project Lead / Investigator, led vision-based behavior understanding and prediction research of HRI
  • Managed a team of researchers as a project leader
  • Directed and led collaborative research with academic institutions as a project investigator, developing novel ML solutions for various autonomous system challenges
  • Deployed in-house behavior prediction technologies on the fully autonomous car and demonstrated for planning and vehicle control

Scientist

Feb 2018 - Jun 2021
  • Proposed deep generative model-based algorithms and demonstrated its efficacy using multiple sensor modalities for autonomous driving
  • Worked on understanding, reasoning, and prediction of human states and behaviors in multi-agent interacting environments

Intern

May 2017 - Aug 2017

HERE Technologies, Chicago, IL

  • Worked on traffic scene understanding (detection and recognition) for automated driving
  • Devised a solution for machine learning systems to effectively learn from imbalanced data, promoting model accuracy and generalizability

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

Publications

2024

COPAL: Continual Pruning in Large Language Generative Models
International Conference on Machine Learning (ICML) 2024, to appear.
S. Malla, J. H. Choi, C. Choi
arXiv
Object-centric Video Representation for Long-term Action Anticipation
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024.
C. Zhang, C. Fu, S. Wang, N. Agarwal, K. Lee, C. Choi, C. Sun
arXiv
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024.
E. Sachdeva, N. Agarwal, S. Chundi, S. Roelofs, J. Li, B. Dariush1, C. Choi, M. Kochenderfer
arXiv

 

2023

Latency Matters: Real-Time Action Forecasting Transformer
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023, Highlight (Oral).
H. Girase, N. Agarwal, C. Choi, K. Mangalam
PDF
AdamsFormer for Spatial Action Localization in the Future
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
H. Chi, K. Lee, N. Agarwal, Y. Xu, K. Ramani, C. Choi
PDF
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
Y. Xu, A. Bazarjani, H. Chi, C. Choi, Y. Fu
arXiv
DRAMA: Joint Risk Localization and Captioning in Driving
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023.
S. Malla, C. Choi, I. Dwivedi, J. H. Choi, J. Li
arXiv

 

2022

DIDER: Discovering Interpretable Dynamically Evolving Relations
IEEE Robotics and Automation Letters (RA-L).
E. Sachdeva and C. Choi
PDF arXiv
Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks
IEEE Transactions on Control Systems Technology.
S. Bae, D. Isele, A. Nakhaei, P. Xu, A. Miranda Anon, C. Choi, K. Fujimura, and S. Moura
PDF
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS) 2022.
L. Sun*, C. Tang*, Y. Niu, E. Sachdeva, C. Choi, T. Misu, M. Tomizuka, and W. Zhan
arXiv
NEMO: Future Object Localization Using Noisy Ego Priors
In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC) 2022.
S. Malla, I. Dwivedi, B. Dariush, and C. Choi
arXiv Dataset
Multi-objective Diverse Human Motion Prediction with Knowledge Distillation
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, oral.
H. Ma, J. Li, R. Hosseini, M. Tomizuka, and C. Choi
PDF Supplementary
Weakly-Supervised Online Action Segmentation in Multi-view Instructional Videos
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.
R. Ghoddoosian, N. Agarwal, I. Dwivedi, C. Choi, and B. Dariush
arXiv
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2022.
J. Li*, H. Gang*, H. Ma, M. Tomizuka, and C. Choi
arXiv

 

2021

LOKI: Long Term and Key Intentions for Trajectory Prediction
In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2021.
H. Girase*, H. Gang*, S. Malla, J. Li, A. Kanehara, K. Mangalam, and C. Choi
arXiv Article Dataset
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2021.
J. Li, F. Yang, H. Ma, S. Malla, M. Tomizuka, and C. Choi
arXiv Project
Continual Multi-Agent Interaction Behavior Prediction with Conditional Generative Memory
IEEE Robotics and Automation Letters (RA-L).
H. Ma*, Y. Sun*, J. Li, M. Tomizuka, and C. Choi
PDF ICCVW (Best Paper Runner-up)
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021, oral.
C. Choi*, J. H. Choi*, J. Li, and S. Malla
PDF
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) 2021.
S. Malla, C. Choi, and B. Dariush
arXiv

 

2020

EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS) 2020.
J. Li*, F. Yang*, M. Tomizuka, and C. Choi
arXiv Project
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
In Proceedings of the Conference on Robot Learning (CoRL) 2020.
C. Choi, S. Malla, A. Patil, and J. H. Choi
PDF arXiv Project Video
SSP: Single Shot Future Trajectory Prediction
In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS) 2020.
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, oral.
S. Malla, B. Dariush, and C. Choi
arXiv Supplementary 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.
S. Bae, D. Saxena, A. Nakhaei, C. Choi, K. Fujimura, and S. Moura
arXiv

 

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
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
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
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

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
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
Technical Report, May 2013.
C. Choi and S. You

 

* co-first author

Academic Services

Organizing Committee

  • Co-organizer, Workshop on Multi-Agent Interaction and Relational Reasoning in conjunction with ICCV 2021

 

Program Committee / Reviewer

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 - Present
  • IEEE International Conference on Computer Vision (ICCV) 2019 - Present
  • European Conference on Computer Vision (ECCV) 2020 - Present
  • IEEE Winter Conference on Applications of Computer Vision (WACV) 2021 - Present
  • Asian Conference on Computer Vision (ACCV) 2018, 2020

    •  

  • International Conference on Machine Learning (ICML) 2021 - Present
  • Conference on Neural Information Processing Systems (NeurIPS) 2020 - Present
  • International Conference on Learning Representations (ICLR) 2021 - Present
  • Association for Advancement of Artificial Intelligence (AAAI) 2020 - Present

    •  

  • IEEE International Conference on Intelligent Robots and Systems (IROS) 2021
  • IEEE Intelligent Vehicles Symposium (IV) 2020
  • ACM CHI Conference on Human Factors in Computing Systems LBW 2019

    •  

  • The IEEE Robotics and Automation Letters (RA-L) 2020 - Present
  • IEEE Transactions on Intelligent Vehicles (T-IV) 2020
  • IEEE Transactions on Image Processing (T-IP) 2018
  • IEEE Transactions on Multimedia (T-MM) 2017