Jong Chul Ye

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 312

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Jinho Chang, Jong Chul Ye
LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space. CoRR (2024)
Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR (2024)
Jeongsol Kim, Geon Yeong Park, Jong Chul Ye
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. CoRR (2024)
Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone
(Deep) Generative Geodesics. CoRR (2024)
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. ICLR (2024)
Soobin Um, Suhyeon Lee, Jong Chul Ye
Don't Play Favorites: Minority Guidance for Diffusion Models. ICLR (2024)
Hyeonho Jeong, Jong Chul Ye
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. ICLR (2024)
Hyungjin Chung, Jong Chul Ye
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. CoRR (2024)
Soobin Um, Jong Chul Ye
Self-Guided Generation of Minority Samples Using Diffusion Models. CoRR (2024)
Hangeol Chang, Jinho Chang, Jong Chul Ye
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing. CoRR (2024)
Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye
Generalized Consistency Trajectory Models for Image Manipulation. CoRR (2024)
Sangmin Lee 00017, Abbas Mammadov, Jong Chul Ye
Defining Neural Network Architecture through Polytope Structures of Dataset. CoRR (2024)
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. ICLR (2024)
Kwanyoung Kim, Yujin Oh, Jong Chul Ye
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. CoRR (2024)
Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye
Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR (2024)
Jangho Park, Gihyun Kwon, Jong Chul Ye
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. ICLR (2024)
Inhwa Han, Jaayeon Lee, Jong Chul Ye
MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI. CoRR (2024)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. Medical Image Anal. 91 (2024)
Gyutaek Oh, Sukyoung Jung, Jeong Eun Lee, Jong Chul Ye
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. IEEE Trans. Computational Imaging 10 (2024)
Abbas Mammadov, Hyungjin Chung, Jong Chul Ye
Amortized Posterior Sampling with Diffusion Prior Distillation. CoRR (2024)
Kwanyoung Kim, Jaa-Yeon Lee, Jong Chul Ye
UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation. CoRR (2024)
Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye
DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing. CoRR (2024)
Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron
Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models. CoRR (2024)
Gyutaek Oh, Yeonsil Moon, Won-Jin Moon, Jong Chul Ye
Unpaired deep learning for pharmacokinetic parameter estimation from dynamic contrast-enhanced MRI without AIF measurements. NeuroImage 291 (2024)
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
Patch-Wise Graph Contrastive Learning for Image Translation. AAAI (2024)
Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR (2024)
Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. ICLR (2024)
Kwanyoung Kim, Jong Chul Ye
Noise2one: One-Shot Image Denoising with Local Implicit Learning. ICASSP (2024)
Gihyun Kwon, Jangho Park, Jong Chul Ye
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection. CoRR (2024)
Sangjoon Park, Eun Sun Lee, Kyung Sook Shin, Jeong Eun Lee, Jong Chul Ye
Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology. Medical Image Anal. 91 (2024)
Sangmin Lee, Byeongsu Sim, Jong Chul Ye
Magnitude and angle dynamics in training single ReLU neurons. Neural Networks 178 (2024)
Boah Kim, Jeongsol Kim, Jong Chul Ye
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32 (2023)
Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing. CoRR (2023)
Kwanyoung Kim, Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Yong Bae Kim, Jong Chul Ye
RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS (2023)
Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model. CoRR (2023)
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. 40 (1) (2023)
Sangjoon Park, Jong Chul Ye
Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation. IEEE Trans. Medical Imaging 42 (7) (2023)
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. CoRR (2023)
Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 40 (2) (2023)
Boah Kim, Yujin Oh, Bradford J. Wood, Ronald M. Summers, Jong Chul Ye
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation. CoRR (2023)
Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye
Breast Ultrasound Report Generation using LangChain. CoRR (2023)
Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio
Prompt-tuning latent diffusion models for inverse problems. CoRR (2023)
Chanseok Lee, Gookho Song, Hyeonggeon Kim, Jong Chul Ye, Mooseok Jang
Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data. Nat. Mac. Intell. 5 (1) (2023)
Kwanyoung Kim, Yujin Oh, Jong Chul Ye
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. CoRR (2023)
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
Patch-wise Graph Contrastive Learning for Image Translation. CoRR (2023)
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. CoRR (2023)
Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Jong Chul Ye
LLM-driven Multimodal Target Volume Contouring in Radiation Oncology. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR (2023)
Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye
Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR (2023)
Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye
Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR (2023)
Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye
Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. CoRR (2023)
Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP (2023)
Geon Yeong Park, Jeongsol Kim, Beomsu Kim, Sang Wan Lee, Jong Chul Ye
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models. NeurIPS (2023)
W. Clem Karl, James E. Fowler, Charles A. Bouman, Müjdat Çetin, Brendt Wohlberg, Jong Chul Ye
The Foundations of Computational Imaging: A signal processing perspective. IEEE Signal Process. Mag. 40 (5) (2023)
Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR (2023)
Gihyun Kwon, Jong Chul Ye
One-Shot Adaptation of GAN in Just One CLIP. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR (2023)
Gihyun Kwon, Jong Chul Ye
Diffusion-based Image Translation using disentangled style and content representation. ICLR (2023)
Gyutaek Oh, Won-Jin Moon, Jong Chul Ye
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI. CoRR (2023)
Zhizhen Zhao, Jong Chul Ye, Yoram Bresler
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. 40 (1) (2023)
Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models. CoRR (2023)
Sangyun Lee, Beomsu Kim, Jong Chul Ye
Minimizing Trajectory Curvature of ODE-based Generative Models. ICML (2023)
Serin Yang, Hyunmin Hwang, Jong Chul Ye
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. CoRR (2023)
Gihyun Kwon, Jong Chul Ye
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance. CoRR (2023)
Hyungjin Chung, Suhyeon Lee, Jong Chul Ye
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR (2023)
Beomsu Kim, Jong Chul Ye
Denoising MCMC for Accelerating Diffusion-Based Generative Models. ICML (2023)
Hyungjin Chung, Eun Sun Lee, Jong Chul Ye
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging 42 (4) (2023)
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. ICCV (2023)
Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. CoRR (2023)
Gyutaek Oh, Baekgyu Choi, Inkyung Jung, Jong Chul Ye
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain. CoRR (2023)
Soobin Um, Jong Chul Ye
Don't Play Favorites: Minority Guidance for Diffusion Models. CoRR (2023)
Hyeonho Jeong, Jong Chul Ye
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. CoRR (2023)
Serin Yang, Hyunmin Hwang, Jong Chul Ye
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. ICCV (2023)
Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models. CoRR (2023)
Hyungjin Chung, Jeongsol Kim, Jong Chul Ye
Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR (2023)
Suhyeon Lee, Won Jun Kim, Jong Chul Ye
LLM Itself Can Read and Generate CXR Images. CoRR (2023)
Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion. CoRR (2023)
Jaeyoung Huh, Shujaat Khan, Sungjin Choi, Dongkuk Shin, Jeong Eun Lee, Eun Sun Lee, Jong Chul Ye
Tunable image quality control of 3-D ultrasound using switchable CycleGAN. Medical Image Anal. 83 (2023)
Riccardo Barbano, Alexander Denker, Hyungjin Chung, Tae-Hoon Roh, Simon Arrdige, Peter Maass, Bangti Jin, Jong Chul Ye
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems. CoRR (2023)
Jangho Park, Gihyun Kwon, Jong Chul Ye
ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF. CoRR (2023)
Sangjoon Park, Ik-Jae Lee, Jun Won Kim, Jong Chul Ye
MS-DINO: Efficient Distributed Training of Vision Transformer Foundation Model in Medical Domain through Masked Sampling. CoRR (2023)
Boah Kim, Yujin Oh, Jong Chul Ye
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. ICLR (2023)
Sangmin Lee, Jong Chul Ye
Data Topology-Dependent Upper Bounds of Neural Network Widths. CoRR (2023)
Jaeyoung Huh, Shujaat Khan, Eun Sun Lee, Jong Chul Ye
Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. ICASSP (2023)
Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR (2023)
Sangyun Lee, Beomsu Kim, Jong Chul Ye
Minimizing Trajectory Curvature of ODE-based Generative Models. CoRR (2023)
Sangmin Lee, Byeongsu Sim, Jong Chul Ye
Magnitude and Angle Dynamics in Training Single ReLU Neurons. CoRR (2022)
Jinho Chang, Jong Chul Ye
Molecular Structure-Property Co-Trained Foundation Model for In Silico Chemistry. CoRR (2022)
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. CVPR (2022)
Eunju Cha, Chanseok Lee, Mooseok Jang, Jong Chul Ye
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Shujaat Khan, Jaeyoung Huh, Jong Chul Ye
Phase Aberration Robust Beamformer for Planewave US Using Self-Supervised Learning. CoRR (2022)
Hyungjin Chung, Jong Chul Ye
Score-based diffusion models for accelerated MRI. Medical Image Anal. 80 (2022)
Beomsu Kim, Jong Chul Ye
Denoising MCMC for Accelerating Diffusion-Based Generative Models. CoRR (2022)
Gihyun Kwon, Jong Chul Ye
CLIPstyler: Image Style Transfer with a Single Text Condition. CVPR (2022)
Sangjoon Park, Eun Sun Lee, Jeong Eun Lee, Jong Chul Ye
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation. CoRR (2022)
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS (2022)
Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye
Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jong Chul Ye