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 DSRA
- City: San Jose, CA
- Title: Senior Staff ML Software Engineer
- Email: chihochoi AT outlook DOT com
- Website: chihochoi.github.io
- LinkedIn: www.linkedin.com/in/chihochoi
- Google Scholar: scholar.google.com/citations?user=iSFDVj4AAAAJ
With a solid track record in computer vision and machine learning, I specialize in the development of cutting-edge algorithms across diverse domains (generative AI, autonomous systems – AD/ADAS, humanrobot interaction/cooperation, etc.), conducting projects from research and prototyping to deployment. My current professional focus is set on developing advanced deep learning architectures and algorithmic optimizations, supported by strong leadership, hands-on skills, and strategic vision in both academic and industrial settings.
- Computer Vision
- Machine Learning
- Generative Modeling
- Multi-modal Deep Learning
Facts
Citations
Papers
Patents
Collaborators
Resume
Click here to download my full curriculum vitae.
Work Experience
Senior Staff ML Software Engineer
Oct 2022 - Present
Samsung DSRA, 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 multi-modal large language models (MLLMs) and related AI systems from conception through deployment
- Designing and developing efficient computing algorithms and hardware optimization to expedite the training and inference of large-scale DNN models
- Led to build a retrieval augmentation pipeline to improve context relevance, achieving official release of company-wide RAG systems
- Extended the capabilities of a pre-trained LLM for domain-specific RTL code generation tasks to automate hardware description synthesis
- Deployed Transformer-based models on heterogeneous computing platforms, allocating resources based on performance analysis to optimize computation latency and memory footprints
- Performed hands-on performance modeling for ML model training and inference by examining data flow and compute requirements across storage, memory, and computing units
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
- Developed in-house behavior prediction technologies and validated them for demonstration on a fully autonomous car
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
2023
2022
2021
2020
2019
2018
2017
2016
2015
2013
* 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