Suhwan Cho AI/ML Research Scientist GenGenAI, Seoul, Korea suhwanx [at] gmail.com CV | GitHub | LinkedIn | Google Scholar

Bio

• Co-Founder at Offhour Research, 2025 - Present
• Research Scientist at GenGenAI, 2025 - Present
• Research Scientist Intern at Adobe Research, 2023
• Ph.D. in EE, Yonsei University, 2020 - 2025
• B.S. in EE, Yonsei University, 2016 - 2020

Research Interests

• Video Object Segmentation
• Video Inpainting
• Video Generation
• Video Understanding

I’m always open to research collaborations and academic partnerships. Feel free to reach out!

Publications

^{(* indicates equal contribution)}

2025

• CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation
  Inseok Jeon, Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Minseok Kang, Jungho Lee, Chaewon Park, Donghyeong Kim, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2025

• GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
  Donghyeong Kim, Chaewon Park, Suhwan Cho, Hyeonjeong Lim, Minseok Kang, Jungho Lee, Sangyoun Lee
  arXiv, 2025

• CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images [Page]
  Jungho Lee, Donghyeong Kim, Dogyoon Lee, Suhwan Cho, Minhyeok Lee, Wonjoon Lee, Taeoh Kim, Dongyoon Wee, Sangyoun Lee
  arXiv, 2025

• Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation [Code]
  Suhwan Cho, Minhyeok Lee, Jungho Lee, MyeongAh Cho, Seungwook Park, Jaeyeob Kim, Hyunsung Jang, Sangyoun Lee
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025

• Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation [Code]
  Suhwan Cho, Seunghoon Lee, Minhyeok Lee, Jungho Lee, Sangyoun Lee
  arXiv, 2025

• Effective SAM Combination for Open-Vocabulary Semantic Segmentation
  Minhyeok Lee, Suhwan Cho, Jungho Lee, Sunghun Yang, Heeseung Choi, Ig-Jae Kim, Sangyoun Lee
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
  🏆 Oral presentation (3.3% of the accepted papers)

• CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images [Page]
  Jungho Lee, Donghyeong Kim, Dogyoon Lee, Suhwan Cho, Minhyeok Lee, Wonjoon Lee, Taeoh Kim, Dongyoon Wee, Sangyoun Lee
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

• Elevating Flow-Guided Video Inpainting with Reference Generation [Code]
  Suhwan Cho, Seoung Wug Oh, Sangyoun Lee, Joon-Young Lee
  AAAI Conference on Artificial Intelligence (AAAI), 2025

• Video Diffusion Models are Strong Video Inpainter [Code]
  Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee
  AAAI Conference on Artificial Intelligence (AAAI), 2025

2024

• STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation
  Sunghun Yang, Minhyeok Lee, Jungho Lee, Suhwan Cho, Sangyoun Lee
  arXiv, 2024

• Transforming Static Images Using Generative Models for Video Salient Object Detection
  Suhwan Cho, Minhyeok Lee, Jungho Lee, Sangyoun Lee
  arXiv, 2024

• LSHNet: Leveraging Structure-Prior with Hierarchical Feature Updates for Salient Object Detection in Optical Remote Sensing Images [Code]
  Seunghoon Lee, Suhwan Cho, Chaewon Park, Seungwook Park, Jaeyeob Kim, Sangyoun Lee
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024

• Improving Unsupervised Video Object Segmentation via Fake Flow Generation
  Suhwan Cho, Minhyeok Lee, Jungho Lee, Donghyeong Kim, Seunghoon Lee, Sungmin Woo, Sangyoun Lee
  arXiv 2024

• Dual Prototype Attention for Unsupervised Video Object Segmentation [Code]
  Suhwan Cho*, Minhyeok Lee*, Seunghoon Lee, Dogyoon Lee, Sangyoun Lee
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

• Guided Slot Attention for Unsupervised Video Object Segmentation [Code]
  Minhyeok Lee, Suhwan Cho, Dogyoon Lee, Chaewon Park, Jungho Lee, Sangyoun Lee
  IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

2023

• Synchronizing Vision and Language: Bidirectional Token-Masking AutoEncoder for Referring Image Segmentation
  Minhyeok Lee, Dogyoon Lee, Jungho Lee, Suhwan Cho, Heeseung Choi, Ig-Jae Kim, Sangyoun Lee
  arXiv, 2023

• Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition [Code]
  Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sangyoun Lee
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023

• Adaptive Graph Convolution Module for Salient Object Detection
  Yongwoo Lee, Minhyeok Lee, Suhwan Cho, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2023

• TSANet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation [Code]
  Seunghoon Lee, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2023

• Two-Stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection
  Chaewon Park, Minhyeok Lee, Suhwan Cho, Donghyeong Kim, Sangyoun Lee
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

• FAPM: Fast Adaptive Patch Memory for Real-Time Industrial Anomaly Detection [Code]
  Donghyeong Kim, Chaewon Park, Suhwan Cho, Sangyoun Lee
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

• One-Shot Video Inpainting
  Sangjin Lee*, Suhwan Cho*, Sangyoun Lee
  arXiv, 2023

• Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation [Code]
  Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Chaewon Park, Donghyeong Kim, Sangyoun Lee
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

• Unsupervised Video Object Segmentation via Prototype Memory Network [Code]
  Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, Sangyoun Lee
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023

2022

• Tackling Background Distraction in Video Object Segmentation [Code]
  Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee
  European Conference on Computer Vision (ECCV), 2022

• SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection [Code]
  Minhyeok Lee*, Chaewon Park*, Suhwan Cho, Sangyoun Lee
  European Conference on Computer Vision (ECCV), 2022

• Superpixel Group-Correlation Network for Co-Saliency Detection
  Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2022

• Detection-Identification Balancing Margin Loss for One-Stage Multi-Object Tracking
  Heansung Lee, Suhwan Cho, Sungjun Jang, Jungho Lee, Sungmin Woo, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2022

• Pixel-Level Equalized Matching for Video Object Segmentation
  Suhwan Cho, Woo Jin Kim, MyeongAh Cho, Seunghoon Lee, Minhyeok Lee, Chaewon Park, Sangyoun Lee
  arXiv, 2022

• Unsupervised Video Anomaly Detection via Normalizing Flows with Implicit Latent Features
  MyeongAh Cho, Taeoh Kim, Woo Jin Kim, Suhwan Cho, Sangyoun Lee
  Pattern Recognition (PR), 2022

• Occluded Person Re-Identification via Relational Adaptive Feature Correction Learning
  Minjung Kim, MyeongAh Cho, Heansung Lee, Suhwan Cho, Sangyoun Lee
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

• Pixel-Level Bijective Matching for Video Object Segmentation [Code]
  Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022

2020

• CRVOS: Clue Refining Network for Video Object Segmentation
  Suhwan Cho, MyeongAh Cho, Tae-young Chung, Heansung Lee, Sangyoun Lee
  IEEE International Conference on Image Processing (ICIP), 2020

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