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Wonhyeok Choi
Hi, I'm Wonhyeok Choi, a M.S.-Ph.D. integrated course student at the Department of Electrical Engineering & Computer Sciences (EECS) at DGIST, South Korea.
I am conducting my research under the supervision of Prof. Sunghoon Im at the DGIST Computer Vision Lab.
Previously, I earned a B.S. degree from the Department of School of Undergraduate Studies, DGIST, in 2022, and I was fortunate to have the opportunity to study as an exchange student at UC Berkeley during my undergraduate years and later visit Stanford as a visiting scholar during my Ph.D. program.
My research interests lie at the intersection of Computer Vision, Deep Learning, and Physical AI.
In the realm of Computer Vision, I focus on Scene Understanding and 3D perception tasks, aiming to bridge the gap between 2D observations and 3D spatial intelligence.
My Deep Learning research explores fundamental optimization challenges, specifically in Multi-task learning, optimization strategies, and metric learning, to build robust and generalizable representations.
Recently, I have expanded my focus toward Physical AI, investigating how embodied agents can interact with the real world.
Specifically, I am interested in leveraging Reinforcement Learning (RL) and Diffusion-based Policies to develop sophisticated decision-making and control systems for complex robotic tasks.
Email  / 
Google Scholar  / 
Github  / 
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📄Curriculum Vitae
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Publications
* indicates equal contribution
†indicates the corresponding author
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CascadeOcc: Rethinking 3D Occupancy World Models with Cascaded VQ Representations
Kyumin Hwang*, Wonhyeok Choi*, Jaeyeul Kim, Jihun Park, Daehee Park†, and Sunghoon Imâ€
IEEE Signal Processing Letters (SPL), 2026
[Paper]
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TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization
Wonhyeok Choi, Kyumin Hwang, Jihun Park, Kyoungmin Lee, Seunghun Lee, Jaeyeul Kim, Minwoo Choi, and Sunghoon Imâ€
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper]
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A Training-Free Style-Personalization via SVD-Based Feature Decomposition
Kyoungmin Lee, Jihun Park, Jongmin Gim, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, and Sunghoon Imâ€
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
[Paper]
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Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth (Oral) (Collaborated with Hyundai Motor Group)
Kyumin Hwang*, Wonhyeok Choi*, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, and Sunghoon Imâ€
IEEE Robotics and Automation Letters (RA-L), 2025
IEEE International Conference on Robotics and Automation (ICRA), 2026
[Paper]
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Infinite-Story: A Training-Free Consistent Text-to-Image Generation (Oral)
Jihun Park*, Kyoungmin Lee*, Jongmin Gim*, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, and Sunghoon Imâ€
The Fortieth Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
[Paper]
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Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining (Top Prize in ICT Paper Contest)
Wonhyeok Choi*, Kyumin Hwang*, Wei Peng, Minwoo Choi, and Sunghoon Imâ€
International Conference on Learning Representations (ICLR), 2025
[Paper]
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[Openreview]
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Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Wonhyeok Choi*, Kyumin Hwang*, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, and Sunghoon Imâ€
The Thirty-Ninth Annual AAAI Conference on Artificial Intelligence (AAAI), 2025
[Paper]
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Multi-task Learning for Real-time Autonomous Driving leveraging Task-wise Attention Generator (Oral) (Collaborated with Hyundai Motor Group) (Excellence Prize in ICT Paper Contest)
Wonhyeok Choi*, Mingyu Shin*, Hyukzae Lee, Jaehoon Cho, Jaehyeon Park, and Sunghoon Imâ€
IEEE International Conference on Robotics and Automation (ICRA), 2024
[Paper]
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Depth-discriminative Metric Learning for Monocular 3D Object Detection
(3rd Prize in Samsung Human-Tech Paper Award)
Wonhyeok Choi*, Mingyu Shin*, and Sunghoon Imâ€
Neural Information Processing Systems (NeurIPS), 2023
[Paper] |
[OpenReview]
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Dynamic Neural Network for Multi-Task Learning Searching across Diverse Network Topologies
Wonhyeok Choi, and Sunghoon Imâ€
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper]
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ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
(Participation Prize in Samsung Human-Tech Paper Award)
Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, and Sunghoon Imâ€
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper]
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M.S.-Ph.D. Integrated Course (Advisor: Sunghoon Im)
Department of Electrical Engineering & Computer Sciences (EECS), DGIST, South Korea
(Mar. 2022 - Present)
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Visiting Scholar (Advisor: Prof. Kilian M. Pohl)
Department of Psychiatry and Behavioral Sciences (PBS), Stanford University, CA, USA
(Sep. 2024 - Dec. 2024)
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Bachelor's Degree
Department of Electrical Engineering & Computer Sciences (EECS), DGIST, South Korea
(Mar. 2018 - Feb. 2022)
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Exchange Student (8 Credits)
UC Berkeley, CA, USA (Supported by DGIST Freshmen Global Leadership Program, FGLP)
(Jun. 2018 - Aug. 2018)
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Hansung Science High School, South Korea
(Mar. 2016 - Feb. 2018)
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Academic Activities
Honors & Awards
Top Prize, 16th ICT Paper Competition and Grand Exhibition, Electronic News, Dec. 2024
3rd Prize, 30th HumanTech Paper Award, Samsung Electronics Co., Ltd, Feb. 2024
Outstanding Researcher Award, Electronic Engineering & Computer Sciences (EECS), DGIST, Dec. 2023
Excellence Prize, 15th ICT Paper Competition and Grand Exhibition, Electronic News, Dec. 2023
Hwang Gyuyoung Outstanding Researcher Award, Electronic Engineering & Computer Sciences (EECS), DGIST, Oct. 2023
Top Prize, Autonomous Driving AI Development Challenge 2023, Ministry of Land, Infrastructure and Transport, Oct. 2023
Participation Prize, 28th HumanTech Paper Award, Samsung Electronics Co., Ltd, Feb. 2022.
Teaching Experience
Invited Speaker of Specialized Seminar (50+ attendees), The 9th Daegu AI Researchers Forum (DARF), Dec. 2025
Invited Speaker of Online Tutorial Session (100+ attendees), Korea Conference on Computer Vision (KCCV), Aug. 2025
Teaching Assistant of AI Basics (100+ undergraduate students), DGIST, Aug. 2022 - Dec. 2022
Reviewer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 - 2026
IEEE/CVF International Conference on Computer Vision (ICCV), 2023 - 2025
The European Conference on Computer Vision (ECCV), 2024 - 2026
Neural Information Processing Systems (NeurIPS), 2024 - 2025
IEEE Robotics and Automation Letters (RA-L), 2024 - 2025
IEEE International Conference on Robotics and Automation (ICRA), 2024 - 2025
International Conference on Learning Representations (ICLR), 2025 - 2026
International Conference on Machine Learning (ICML), 2025 - 2026
The Association for the Advancement of Artificial Intelligence (AAAI), 2025 - 2026
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
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© Wonhyeok Choi | Last updated: Feb 23, 2026
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