Publications

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Findings 2026

Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee

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Particle Diffusion Matching: Random Walk Correspondence Search for the Alignment of Standard and Ultra-Widefield Fundus Images

Particle Diffusion Matching: Random Walk Correspondence Search for the Alignment of Standard and Ultra-Widefield Fundus Images

IEEE Transactions on Image Processing 2026

Kang Geon Lee, Soochahn Lee, Kyoung Mu Lee

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Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling

Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling

Scientific Reports 2025

Sojung Go, Jaemin Chae, Uichan Kim, Jongsoo Lim, Jooyoung Kim, Sang Jun Park, Soochahn Lee

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Contamination Detection for VLMs using Multi-Modal Semantic Perturbation

Contamination Detection for VLMs using Multi-Modal Semantic Perturbation

arXiv preprint 2025

Jaden Park, Mu Cai, Feng Yao, Jingbo Shang, Soochahn Lee, Yong Jae Lee

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Auto-regressive transformation for image alignment

Auto-regressive transformation for image alignment

IEEE/CVF International Conference on Computer Vision (ICCV) 2025

Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee

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Multimodal prompt sequence learning for interactive segmentation of vascular structures

Multimodal prompt sequence learning for interactive segmentation of vascular structures

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2025

Jongsoo Lim, Soochahn Lee

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CoAPT: Context attribute words for prompt tuning

CoAPT: Context attribute words for prompt tuning

Knowledge-Based Systems 2025

Gun Lee, Subin An, Sungyoung Baik, Soochahn Lee

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Active diffusion matching: score-based iterative alignment of cross-modal retinal images

Active diffusion matching: score-based iterative alignment of cross-modal retinal images

IEEE Transactions on Biomedical Engineering 2025

Kang Geon Lee, Su Jeong Song, Soochahn Lee, and Kyoung Mu Lee

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Revisiting Active Speaker Detection: An In-the-Wild Benchmark for Generalization and Robustness

Revisiting Active Speaker Detection: An In-the-Wild Benchmark for Generalization and Robustness

arXiv preprint arXiv:2505.21954 2025

Le Thien Phuc Nguyen, Zhuoran Yu, Khoa Quang Nhat Cao, Yuwei Guo, Tu Ho Manh Pham, Tuan Tai Nguyen, Toan Ngo Duc Vo, Lucas Poon, Soochahn Lee, Yong Jae Lee

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Disentangled contrastive learning from synthetic matching pairs for targeted chest X-ray generation

Disentangled contrastive learning from synthetic matching pairs for targeted chest X-ray generation

IEEE Access 2025

Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

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Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2024

Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee

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FQ-UWF: unpaired generative image enhancement for fundus quality ultra-widefield retinal images

FQ-UWF: unpaired generative image enhancement for fundus quality ultra-widefield retinal images

Bioengineering 2024

Kang Geon Lee, Su Jeong Song, Soochahn Lee, Bo Hee Kim, Mingui Kong, Kyoung Mu Lee

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A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery

A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery

Scientific Reports 2024

Seok Hyun Bae, Sojung Go, Jooyoung Kim, Kyu Hyung Park, Soochahn Lee, Sang Jun Park

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Cycle consistent generative motion artifact correction in coronary computed tomography angiography

Cycle consistent generative motion artifact correction in coronary computed tomography angiography

Applied Sciences 2024

Amal Muhammad Saleem, Sunghee Jung, Hyuk-Jae Chang, Soochahn Lee

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Deep learning for counting people from UWB channel impulse response signals

Deep learning for counting people from UWB channel impulse response signals

Sensors 2023

Gun Lee, Subin An, Byung-Jun Jang, Soochahn Lee

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A deep learning-based framework for retinal fundus image enhancement

A deep learning-based framework for retinal fundus image enhancement

PLoS ONE 2023

Kang Geon Lee, Su Jeong Song, Soochahn Lee, Hyeong Gon Yu, Dong Ik Kim, Kyoung Mu Lee

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Abnormality detection in chest X-ray via residual-saliency from normal generation

Abnormality detection in chest X-ray via residual-saliency from normal generation

IEEE Access 2023

Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

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Combined deep learning of fundus images and fluorescein angiography for retinal artery/vein classification

Combined deep learning of fundus images and fluorescein angiography for retinal artery/vein classification

IEEE Access 2022

Sojung Go, Jooyoung Kim, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

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Fully leveraging deep learning methods for constructing retinal fundus photomontages.

Fully leveraging deep learning methods for constructing retinal fundus photomontages.

Applied Sciences 2021

Jooyoung Kim, Sojung Go, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

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Topology-aware retinal artery–vein classification via deep vascular connectivity prediction.

Topology-aware retinal artery–vein classification via deep vascular connectivity prediction.

Applied Sciences 2020

Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee

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Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval.

Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval.

Computer Vision and Image Understanding 2020

Eu Young Kim, Seung Yeon Shin, Soochahn Lee, Kyong Joon Lee, Kyoung Ho Lee, Kyoung Mu Lee

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Effects of hypertension, diabetes, and smoking on age and sex prediction from retinal fundus images.

Effects of hypertension, diabetes, and smoking on age and sex prediction from retinal fundus images.

Scientific Reports 2020

Yong Dae Kim, Kyoung Jin Noh, Seong Jun Byun, Soochahn Lee, Tackeun Kim, Leonard Sunwoo, Kyong Joon Lee, Si-Hyuck Kang, Kyu Hyung Park & Sang Jun Park

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Multimodal registration of fundus images with fluorescein angiography for fine-scale vessel segmentation.

Multimodal registration of fundus images with fluorescein angiography for fine-scale vessel segmentation.

IEEE Access 2020

Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee

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Deep learning cross-phase style transfer for motion artifact correction in coronary computed tomography angiography.

Deep learning cross-phase style transfer for motion artifact correction in coronary computed tomography angiography.

IEEE Access 2020

Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang

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Combining fundus images and fluorescein angiography for artery/vein classification using the hierarchical vessel graph network.

Combining fundus images and fluorescein angiography for artery/vein classification using the hierarchical vessel graph network.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2020

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

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Deep vessel segmentation by learning graphical connectivity.

Deep vessel segmentation by learning graphical connectivity.

Medical Image Analysis 2019

Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee

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Joint weakly and semi-supervised deep learning for localization and classification of masses in breast ultrasound images.

Joint weakly and semi-supervised deep learning for localization and classification of masses in breast ultrasound images.

IEEE Trans. Med. Imaging 2019

Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Sun Mi Kim, Kyoung Mu Lee

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Scale space approximation in convolutional neural networks for retinal vessel segmentation.

Scale space approximation in convolutional neural networks for retinal vessel segmentation.

Computer Methods and Programs in Biomedicine 2019

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

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Phase-based nonrigid deformation for digital subtraction angiography.

Phase-based nonrigid deformation for digital subtraction angiography.

IEEE Access 2019

Soochahn Lee, Changho Jeon, Leonard Sunwoo, Dong Yul Oh, Kyong Joon Lee

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Fingerprint liveness detection by a template-probe convolutional neural network.

Fingerprint liveness detection by a template-probe convolutional neural network.

IEEE Access 2019

Ho Yub Jung, Yong Seok Heo, Soochahn Lee

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Fine-scale vessel extraction in fundus images by registration with fluorescein angiography.

Fine-scale vessel extraction in fundus images by registration with fluorescein angiography.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2019

Kyoung Jin Noh, Sang Jun Park, Soochahn Lee

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Dual exposure fusion with entropy-based residual filtering.

Dual exposure fusion with entropy-based residual filtering.

KSII Transactions on Internet and Information Systems 2017

Yong Seok Heo, Soochahn Lee, Ho Yub Jung

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Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field.

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field.

SPIE Medical Imaging 2017

Taewoo Park, Seung Yeon Shin, Youngtaek Hong, Soochahn Lee, Hyuk-Jae Chang, Il Dong Yun

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Adaptive combination of local motion, appearance, and shape for video segmentation.

Adaptive combination of local motion, appearance, and shape for video segmentation.

Journal of Imaging Science and Technology 2016

Woo-Sung Shim, Se-Hoon Kim, Soochahn Lee

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Extraction of coronary vessels in fluoroscopic X-ray sequences using vessel correspondence optimization.

Extraction of coronary vessels in fluoroscopic X-ray sequences using vessel correspondence optimization.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2016

Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee

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A novel cascade classifier for automatic microcalcification detection.

A novel cascade classifier for automatic microcalcification detection.

PLoS ONE 2015

Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Ho Yub Jung, Yong Seok Heo, Sun Mi Kim, Kyoung Mu Lee

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Consistent color and detail transfer from multiple source images for video and images.

Consistent color and detail transfer from multiple source images for video and images.

The Visual Computer 2015

Yong Seok Heo, Soochahn Lee, Ho Yub Jung

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Forest walk methods for localizing body joints from single depth image.

Forest walk methods for localizing body joints from single depth image.

PLoS ONE 2015

Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun

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Structured patch model for a unified automatic and interactive segmentation framework.

Structured patch model for a unified automatic and interactive segmentation framework.

Medical Image Analysis 2015

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

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Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.

Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.

SPIE Medical Imaging 2014

Seung Yeon Shin, Soochahn Lee, Il Dong Yun

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Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation.

Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation.

Pattern Recognition 2013

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

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Automatic bone segmentation in knee MR images using a coarse-to-fine strategy.

Automatic bone segmentation in knee MR images using a coarse-to-fine strategy.

SPIE Medical Imaging 2012

Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee

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Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images.

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images.

Computer Vision and Image Understanding 2011

Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee

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Robust bilayer video segmentation by adaptive propagation of global shape and local appearance.

Robust bilayer video segmentation by adaptive propagation of global shape and local appearance.

Journal of Visual Communication and Image Representation 2010

Soochahn Lee, Il Dong Yun, Sang Uk Lee

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Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI).

Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI).

IEEE International Conference on Image Processing (ICIP) 2009

Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han

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3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative.

3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative.

SPIE Medical Imaging 2008

Hackjoon Shim, Soochahn Lee, Bohyeong Kim, Cheng Tao, Samuel Chang, Il Dong Yun, Sang Uk Lee, C. Kent Kwoh, Kyongtae Ty Bae

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A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor.

A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor.

European Conference on Computer Vision (ECCV) 2006

Soochahn Lee, Sehyuk Yoon, Il Dong Yun, Duck Hoon Kim, Kyoung Mu Lee, Sang Uk Lee

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How Can We Evaluate Object Recognition Algorithms Using a Public Object Image Database?

How Can We Evaluate Object Recognition Algorithms Using a Public Object Image Database?

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) 2005

Soochahn Lee, Duck Hoon Kim, Sang Uk Lee, Il Dong Yun

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