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Minwoo Choi

Ph.D. Student

subminu at dgist.ac.kr

Research Interests

  • Generative Adversarial Networks
  • Style Transfer
  • Neural Architecture

Education

  • M.S.–Ph.D. Integrated Course in Electrical Engineering and Computer Sciences, DGIST, Mar 2022 - present.

Publication

  • Jihun Park*, Jongmin Gim*, Kyoungmin Lee*, Minseok Oh, Minwoo Choi, Jaeyeul Kim, Woo Chool Park, Sunghoon Im†. “A Training-Free Style-aligned Image Generation with Scale-wise Autoregressive Model,” arXiv preprint ( arXiv ), 2026.
  • Wonhyeok Choi, Shutong Ding, Minwoo Choi, Jungwan Woo, Kyumin Hwang, Jaeyeul Kim, Ye Shi†, Sunghoon Im†. “A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control,” arXiv preprint ( arXiv ), 2026.
  • Wonhyeok Choi, Kyumin Hwang, Jihun Park, Kyoungmin Lee, Seunghun Lee, Jaeyeul Kim, Minwoo Choi, Sunghoon Im†. “TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
  • Minseok Oh*, Jihun Park*, Jongmin Gim, Minwoo Choi, Kyoungmin Lee, Ferdinando Fioretto†, Sunghoon Im†. “FREESTYLE: An Anchor-Free Mechanism for Training-Free Style-Aligned Image Generation,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026.
  • Kyumin Hwang*, Wonhyeok Choi*, Kiljoon Han, Wonjoon Choi, Minwoo Choi, Yongcheon Na, Minwoo Park, Sunghoon Im†. “Scale-invariant and View-relational Representation Learning for Full Surround Monocular Depth,” IEEE Robotics and Automation Letters (RA-L), 2026.
  • Jihun Park*, Kyoungmin Lee*, Jongmin Gim*, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeol Kim, Minwoo Choi, Sunghoon Im†. “Infinite-Story: A Training-Free Consistent Text-to-Image Generation,” The Association for the Advancement of Artificial Intelligence (AAAI), 2026 (Oral).
  • Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im†. “CAVIS: Context-Aware Video Instance Segmentation,” IEEE International Conference on Computer Vision (ICCV), 2025.
  • Seunghun Lee, Jiwan Seo, Minwoo Choi, Kiljoon Han, Jaehoon Jeong, Zane Durante, Ehsan Adeli†, Sang Hyun Park, Sunghoon Im†. “Latest Object Memory Management for Temporally Consistent Video Instance Segmentation,” IEEE International Conference on Computer Vision (ICCV), 2025.
  • Wonhyeok Choi*, Kyumin Hwang*, Minwoo Choi, Kiljoon Han, Wonjoon Choi, Mingyu Shin, Sunghoon Im†. “Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces,” The Association for the Advancement of Artificial Intelligence (AAAI), 2025.
  • Wonhyeok Choi*, Kyumin Hwang*, Wei Peng, Minwoo Choi, Sunghoon Im†. “Self-supervised Monocular Depth Estimation Robust to Reflective Surface Leveraged by Triplet Mining,” International Conference on Learning Representations (ICLR), 2025.
  • Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im. "ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Scholarships & Awards

  • Participation Prize, 28th HumanTech Paper Award, Samsung Electronics Co., Ltd, Feb 2022.
  • 한국 도시 3D 영상 데이터 인공지능 해커톤 우수상, Dec 2021.