Suhwan Cho

I am a Research Scientist at GenGenAI, Seoul, Korea. Previously, I was a Research Scientist Intern in the Deep Learning Group at Adobe Research, San Jose, California, USA. I earned my Ph.D. from Yonsei University, Seoul, Korea. My research focuses on video editing technologies, including video object segmentation and video inpainting.

I am always open to collaborations! Please feel free to contact me if you are interested :)

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News

[03/2025] 🚀 Started a position at GenGenAI, Seoul, Korea.
[02/2025] 🎉 Two papers accepted at CVPR 2025, Nashville, Tennessee, USA.
[02/2025] 🌈 Earned a Ph.D. from Yonsei University, Seoul, Korea.
[12/2024] 🎉 Two papers accepted at AAAI 2025, Philadelphia, Pennsylvania, USA.
[02/2024] 🎉 Two papers accepted at CVPR 2024, Seattle, USA.
[08/2023] 🌈 Completed an internship at Adobe Research, San Jose, California, USA.
[07/2023] 🎉 One paper accepted at ICCV 2023, Paris, France.
[10/2022] 🎉 Two papers accepted at WACV 2023, Waikoloa, Hawaii, USA.
[07/2022] 🎉 Two papers accepted at ECCV 2022, Tel Aviv, Israel.
[10/2021] 🎉 One paper accepted at WACV 2022, Waikoloa, Hawaii, USA.

Selected Publications

	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 Source: [arXiv]
	CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images Jungho Lee, Suhwan Cho, Taeoh Kim, Ho-Deok Jang, Minhyeok Lee, Geonho Cha, Dongyoon Wee, Dogyoon Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Source: [arXiv] [Page]
	Elevating Flow-Guided Video Inpainting with Reference Generation Suhwan Cho, Seoung Wug Oh, Sangyoun Lee, Joon-Young Lee AAAI Conference on Artificial Intelligence (AAAI), 2025 Source: [arXiv] [Code]
	Video Diffusion Models are Strong Video Inpainter Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee AAAI Conference on Artificial Intelligence (AAAI), 2025 Source: [arXiv] [Code]
	Dual Prototype Attention for Unsupervised Video Object Segmentation Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Dogyoon Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Source: [Paper] [arXiv] [Code]
	Guided Slot Attention for Unsupervised Video Object Segmentation Minhyeok Lee, Suhwan Cho, Dogyoon Lee, Chaewon Park, Jungho Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Source: [Paper] [arXiv] [Code]
	Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sangyoun Lee IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Source: [Paper] [arXiv] [Code]
	Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Chaewon Park, Donghyeong Kim, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Source: [Paper] [arXiv] [Code]
	Unsupervised Video Object Segmentation via Prototype Memory Network Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Source: [Paper] [arXiv] [Code]
	Tackling Background Distraction in Video Object Segmentation Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee European Conference on Computer Vision (ECCV), 2022 Source: [Paper] [arXiv] [Code]
	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee European Conference on Computer Vision (ECCV), 2022 Source: [Paper] [arXiv] [Code]
	Pixel-Level Bijective Matching for Video Object Segmentation Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 Source: [Paper] [arXiv] [Code]

Full Publications

2025

	Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation Suhwan Cho, Seunghoon Lee, Minhyeok Lee, Jungho Lee, Sangyoun Lee arXiv preprint, 2025 Source: [arXiv] [Code]
	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 Source: [arXiv]
	CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images Jungho Lee, Suhwan Cho, Taeoh Kim, Ho-Deok Jang, Minhyeok Lee, Geonho Cha, Dongyoon Wee, Dogyoon Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Source: [arXiv] [Page]
	Elevating Flow-Guided Video Inpainting with Reference Generation Suhwan Cho, Seoung Wug Oh, Sangyoun Lee, Joon-Young Lee AAAI Conference on Artificial Intelligence (AAAI), 2025 Source: [arXiv] [Code]
	Video Diffusion Models are Strong Video Inpainter Minhyeok Lee, Suhwan Cho, Chajin Shin, Jungho Lee, Sunghun Yang, Sangyoun Lee AAAI Conference on Artificial Intelligence (AAAI), 2025 Source: [arXiv] [Code]

2024

	STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation Sunghun Yang, Minhyeok Lee, Jungho Lee, Suhwan Cho, Sangyoun Lee arXiv preprint, 2024 Source: [arXiv]
	Transforming Static Images Using Generative Models for Video Salient Object Detection Suhwan Cho, Minhyeok Lee, Jungho Lee, Sangyoun Lee arXiv preprint, 2024 Source: [arXiv] [Code]
	LSHNet: Leveraging Structure-Prior with Hierarchical Feature Updates for Salient Object Detection in Optical Remote Sensing Images Seunghoon Lee, Suhwan Cho, Chaewon Park, Seungwook Park, Jaeyeob Kim, Sangyoun Lee IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024 Source: [Paper]
	Improving Unsupervised Video Object Segmentation via Fake Flow Generation Suhwan Cho, Minhyeok Lee, Jungho Lee, Donghyeong Kim, Seunghoon Lee, Sungmin Woo, Sangyoun Lee arXiv preprint, 2024 Source: [arXiv] [Code]
	CRiM-GS: Continuous Rigid Motion-Aware Gaussian Splatting from Motion-Blurred Images Jungho Lee, Donghyeong Kim, Dogyoon Lee, Suhwan Cho, Minhyeok Lee, Sangyoun Lee arXiv preprint, 2024 Source: [arXiv] [Page]
	Dual Prototype Attention for Unsupervised Video Object Segmentation Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Dogyoon Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Source: [Paper] [arXiv] [Code]
	Guided Slot Attention for Unsupervised Video Object Segmentation Minhyeok Lee, Suhwan Cho, Dogyoon Lee, Chaewon Park, Jungho Lee, Sangyoun Lee IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Source: [Paper] [arXiv] [Code]

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 preprint, 2023 Source: [arXiv]
	Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sangyoun Lee IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Source: [Paper] [arXiv] [Code]
	Adaptive Graph Convolution Module for Salient Object Detection Yongwoo Lee, Minhyeok Lee, Suhwan Cho, Sangyoun Lee IEEE International Conference on Image Processing (ICIP), 2023 Source: [Paper] [arXiv]
	TSANet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation Seunghoon Lee, Suhwan Cho, Dogyoon Lee, Minhyeok Lee, Sangyoun Lee IEEE International Conference on Image Processing (ICIP), 2023 Source: [Paper] [arXiv]
	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 Source: [Paper] [arXiv]
	FAPM: Fast Adaptive Patch Memory for Real-Time Industrial Anomaly Detection Donghyeong Kim, Chaewon Park, Suhwan Cho, Sangyoun Lee IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Source: [Paper] [arXiv] [Code]
	One-Shot Video Inpainting Sangjin Lee, Suhwan Cho*, Sangyoun Lee arXiv preprint, 2023* Source: [arXiv]
	Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation Suhwan Cho, Minhyeok Lee, Seunghoon Lee, Chaewon Park, Donghyeong Kim, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Source: [Paper] [arXiv] [Code]
	Unsupervised Video Object Segmentation via Prototype Memory Network Minhyeok Lee, Suhwan Cho, Seunghoon Lee, Chaewon Park, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Source: [Paper] [arXiv] [Code]

2022

	Tackling Background Distraction in Video Object Segmentation Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee European Conference on Computer Vision (ECCV), 2022 Source: [Paper] [arXiv] [Code]
	SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee European Conference on Computer Vision (ECCV), 2022 Source: [Paper] [arXiv] [Code]
	Superpixel Group-Correlation Network for Co-Saliency Detection Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee IEEE International Conference on Image Processing (ICIP), 2022 Source: [Paper]
	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 Source: [Paper]
	Pixel-Level Equalized Matching for Video Object Segmentation Suhwan Cho, Woo Jin Kim, MyeongAh Cho, Seunghoon Lee, Minhyeok Lee, Chaewon Park, Sangyoun Lee arXiv preprint, 2022 Source: [arXiv]
	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 Source: [Paper] [arXiv]
	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 Source: [Paper] [arXiv]
	Pixel-Level Bijective Matching for Video Object Segmentation Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 Source: [Paper] [arXiv] [Code]

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
Source: [Paper] [arXiv]