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ORCIDJong Chul Ye
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2020 – today
- 2024
[j94]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: 103021 (2024)- [j93]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: 103022 (2024) - [j92]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: 120571 (2024) - [j91]Sangmin Lee, Byeongsu Sim, Jong Chul Ye:
Magnitude and angle dynamics in training single ReLU neurons. Neural Networks 178: 106435 (2024) - [j90]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: 43-53 (2024) - [j89]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): 1692-1703 (2024) - [c129]Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Patch-Wise Graph Contrastive Learning for Image Translation. AAAI 2024: 13013-13021 - [c128]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. CVPR 2024: 8880-8889 - [c127]Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye:
Contrastive Denoising Score for Text-Guided Latent Diffusion Image Editing. CVPR 2024: 9192-9201 - [c126]Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye:
VMC: Video Motion Customization Using Temporal Attention Adaption for Text-to-Video Diffusion Models. CVPR 2024: 9212-9221 - [c125]Geon Yeong Park, Chanyong Jung, Sangmin Lee, Jong Chul Ye, Sang Wan Lee:
Self-Supervised Debiasing Using Low Rank Regularization. CVPR 2024: 12395-12405 - [c124]Kwanyoung Kim, Jong Chul Ye:
Noise2one: One-Shot Image Denoising with Local Implicit Learning. ICASSP 2024: 13036-13040 - [c123]Suhyeon Lee, Won Jun Kim, Jinho Chang, Jong Chul Ye:
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation. ICLR 2024 - [c122]Hyungjin Chung, Suhyeon Lee, Jong Chul Ye:
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems. ICLR 2024 - [c121]Hyeonho Jeong, Jong Chul Ye:
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. ICLR 2024 - [c120]Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye:
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. ICLR 2024 - [c119]Jangho Park, Gihyun Kwon, Jong Chul Ye:
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF. ICLR 2024 - [c118]Soobin Um, Suhyeon Lee, Jong Chul Ye:
Don't Play Favorites: Minority Guidance for Diffusion Models. ICLR 2024 - [c117]Sangmin Lee, Abbas Mammadov, Jong Chul Ye:
Defining Neural Network Architecture through Polytope Structures of Datasets. ICML 2024 - [c116]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning Latent Diffusion Models for Inverse Problems. ICML 2024 - [d1]Hyungjin Chung, Se Hie Park, Eui-Sang Chung, Kayoung Yi, Jong Chul Ye:
Fundus Photo Enhancement dataset. IEEE DataPort, 2024
- [i171]Sangmin Lee, Abbas Mammadov, Jong Chul Ye:
Defining Neural Network Architecture through Polytope Structures of Dataset. CoRR abs/2402.02407 (2024) - [i170]Yunji Jung, Seokju Lee, Tair Djanibekov, Hyunjung Shim, Jong Chul Ye:
Latent Inversion with Timestep-aware Sampling for Training-free Non-rigid Editing. CoRR abs/2402.08601 (2024) - [i169]Kwanyoung Kim, Jaa-Yeon Lee, Jong Chul Ye:
UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation. CoRR abs/2403.06275 (2024) - [i168]Jeongsol Kim, Geon Yeong Park, Jong Chul Ye:
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation. CoRR abs/2403.11415 (2024) - [i167]Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye:
DreamMotion: Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing. CoRR abs/2403.12002 (2024) - [i166]Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye:
Generalized Consistency Trajectory Models for Image Manipulation. CoRR abs/2403.12510 (2024) - [i165]Hangeol Chang, Jinho Chang, Jong Chul Ye:
Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing. CoRR abs/2403.13551 (2024) - [i164]Kwanyoung Kim, Yujin Oh, Jong Chul Ye:
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. CoRR abs/2403.14183 (2024) - [i163]Geon Yeong Park, Hyeonho Jeong, Sang Wan Lee, Jong Chul Ye:
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models. CoRR abs/2403.15249 (2024) - [i162]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 abs/2404.03913 (2024) - [i161]Gihyun Kwon, Jangho Park, Jong Chul Ye:
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection. CoRR abs/2405.16823 (2024) - [i160]Inhwa Han, Jaayeon Lee, Jong Chul Ye:
MindFormer: A Transformer Architecture for Multi-Subject Brain Decoding via fMRI. CoRR abs/2405.17720 (2024) - [i159]Jinho Chang, Jong Chul Ye:
LDMol: Text-Conditioned Molecule Diffusion Model Leveraging Chemically Informative Latent Space. CoRR abs/2405.17829 (2024) - [i158]Hyungjin Chung, Jeongsol Kim, Geon Yeong Park, Hyelin Nam, Jong Chul Ye:
CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models. CoRR abs/2406.08070 (2024) - [i157]Hyungjin Chung, Jong Chul Ye:
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems. CoRR abs/2407.10641 (2024) - [i156]Beomsu Kim, Michael Puthawala, Jong Chul Ye, Emanuele Sansone:
(Deep) Generative Geodesics. CoRR abs/2407.11244 (2024) - [i155]Soobin Um, Jong Chul Ye:
Self-Guided Generation of Minority Samples Using Diffusion Models. CoRR abs/2407.11555 (2024) - [i154]Abbas Mammadov, Hyungjin Chung, Jong Chul Ye:
Amortized Posterior Sampling with Diffusion Prior Distillation. CoRR abs/2407.17907 (2024) - [i153]Taesung Kwon, Jong Chul Ye:
Solving Video Inverse Problems Using Image Diffusion Models. CoRR abs/2409.02574 (2024) - 2023
- [j88]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: 102651 (2023) - [j87]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): 35-45 (2023) - [j86]Gihyun Kwon, Jong Chul Ye:
One-Shot Adaptation of GAN in Just One CLIP. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12179-12191 (2023) - [j85]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): 28-30 (2023) - [j84]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): 148-163 (2023) - [j83]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): 13-15 (2023) - [j82]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): 40-53 (2023) - [j81]Boah Kim, Jeongsol Kim, Jong Chul Ye:
Task-Agnostic Vision Transformer for Distributed Learning of Image Processing. IEEE Trans. Image Process. 32: 203-218 (2023) - [j80]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): 4143-4153 (2023) - [j79]Hyungjin Chung, Eun Sun Lee, Jong Chul Ye:
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion. IEEE Trans. Medical Imaging 42(4): 922-934 (2023) - [j78]Sangjoon Park, Jong Chul Ye:
Multi-Task Distributed Learning Using Vision Transformer With Random Patch Permutation. IEEE Trans. Medical Imaging 42(7): 2091-2105 (2023) - [c115]Hyungjin Chung, Jeongsol Kim, Sehui Kim, Jong Chul Ye:
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems. CVPR 2023: 6059-6069 - [c114]Geon Yeong Park, Sangmin Lee, Sang Wan Lee, Jong Chul Ye:
Training Debiased Subnetworks with Contrastive Weight Pruning. CVPR 2023: 7929-7938 - [c113]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: 22542-22551 - [c112]Jaeyoung Huh, Shujaat Khan, Eun Sun Lee, Jong Chul Ye:
Ultrasound Image Quality Control Using Speech-Assisted Switchable CycleGAN. ICASSP 2023: 1-5 - [c111]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: 10676-10686 - [c110]Serin Yang, Hyunmin Hwang, Jong Chul Ye:
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. ICCV 2023: 22816-22825 - [c109]Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky:
Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP 2023: 111-115 - [c108]Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye:
Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR 2023 - [c107]Boah Kim, Yujin Oh, Jong Chul Ye:
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation. ICLR 2023 - [c106]Gihyun Kwon, Jong Chul Ye:
Diffusion-based Image Translation using disentangled style and content representation. ICLR 2023 - [c105]Beomsu Kim, Jong Chul Ye:
Denoising MCMC for Accelerating Diffusion-Based Generative Models. ICML 2023: 16955-16977 - [c104]Sangyun Lee, Beomsu Kim, Jong Chul Ye:
Minimizing Trajectory Curvature of ODE-based Generative Models. ICML 2023: 18957-18973 - [c103]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. NeurIPS 2023 - [c102]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 - [i152]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 abs/2301.02064 (2023) - [i151]Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye:
Annealed Score-Based Diffusion Model for MR Motion Artifact Reduction. CoRR abs/2301.03027 (2023) - [i150]Sangyun Lee, Beomsu Kim, Jong Chul Ye:
Minimizing Trajectory Curvature of ODE-based Generative Models. CoRR abs/2301.12003 (2023) - [i149]Kwanyoung Kim, Yujin Oh, Jong Chul Ye:
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts. CoRR abs/2301.12171 (2023) - [i148]Soobin Um, Jong Chul Ye:
Don't Play Favorites: Minority Guidance for Diffusion Models. CoRR abs/2301.12334 (2023) - [i147]Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye:
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models. CoRR abs/2302.03900 (2023) - [i146]Jaeyoung Huh, Sangjoon Park, Jeong Eun Lee, Jong Chul Ye:
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model. CoRR abs/2303.00091 (2023) - [i145]Hyungjin Chung, Suhyeon Lee, Jong Chul Ye:
Fast Diffusion Sampler for Inverse Problems by Geometric Decomposition. CoRR abs/2303.05754 (2023) - [i144]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 abs/2303.08440 (2023) - [i143]Serin Yang, Hyunmin Hwang, Jong Chul Ye:
Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. CoRR abs/2303.08622 (2023) - [i142]Inhwa Han, Serin Yang, Taesung Kwon, Jong Chul Ye:
Highly Personalized Text Embedding for Image Manipulation by Stable Diffusion. CoRR abs/2303.08767 (2023) - [i141]Suhyeon Lee, Won Jun Kim, Jong Chul Ye:
LLM Itself Can Read and Generate CXR Images. CoRR abs/2305.11490 (2023) - [i140]Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye:
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge. CoRR abs/2305.15086 (2023) - [i139]Sangmin Lee, Jong Chul Ye:
Data Topology-Dependent Upper Bounds of Neural Network Widths. CoRR abs/2305.16375 (2023) - [i138]Hyungjin Chung, Jeongsol Kim, Jong Chul Ye:
Direct Diffusion Bridge using Data Consistency for Inverse Problems. CoRR abs/2305.19809 (2023) - [i137]Gyutaek Oh, Won-Jin Moon, Jong Chul Ye:
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI. CoRR abs/2306.04339 (2023) - [i136]Gihyun Kwon, Jong Chul Ye:
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance. CoRR abs/2306.04396 (2023) - [i135]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 abs/2306.09869 (2023) - [i134]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 abs/2307.15208 (2023) - [i133]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 abs/2308.00193 (2023) - [i132]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 abs/2308.14409 (2023) - [i131]Hyeonho Jeong, Jong Chul Ye:
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models. CoRR abs/2310.01107 (2023) - [i130]Hyungjin Chung, Jong Chul Ye, Peyman Milanfar, Mauricio Delbracio:
Prompt-tuning latent diffusion models for inverse problems. CoRR abs/2310.01110 (2023) - [i129]Jangho Park, Gihyun Kwon, Jong Chul Ye:
ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF. CoRR abs/2310.02712 (2023) - [i128]Gyutaek Oh, Baekgyu Choi, Inkyung Jung, Jong Chul Ye:
scHyena: Foundation Model for Full-Length Single-Cell RNA-Seq Analysis in Brain. CoRR abs/2310.02713 (2023) - [i127]Yujin Oh, Sangjoon Park, Hwa Kyung Byun, Jin Sung Kim, Jong Chul Ye:
LLM-driven Multimodal Target Volume Contouring in Radiation Oncology. CoRR abs/2311.01908 (2023) - [i126]Jeongsol Kim, Geon Yeong Park, Hyungjin Chung, Jong Chul Ye:
Regularization by Texts for Latent Diffusion Inverse Solvers. CoRR abs/2311.15658 (2023) - [i125]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 abs/2311.15876 (2023) - [i124]Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye:
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing. CoRR abs/2311.18608 (2023) - [i123]Hyeonho Jeong, Geon Yeong Park, Jong Chul Ye:
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models. CoRR abs/2312.00845 (2023) - [i122]Jaeyoung Huh, Hyun Jeong Park, Jong Chul Ye:
Breast Ultrasound Report Generation using LangChain. CoRR abs/2312.03013 (2023) - [i121]Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Patch-wise Graph Contrastive Learning for Image Translation. CoRR abs/2312.08223 (2023) - 2022
- [j77]Sangjoon Park, Gwanghyun Kim, Yujin Oh, Joon Beom Seo, Sang Min Lee, Jin Hwan Kim, Sungjun Moon, Jae-Kwang Lim, Jong Chul Ye:
Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification. Medical Image Anal. 75: 102299 (2022) - [j76]Gyutaek Oh, Hyokyoung Bae, Hyun-Seo Ahn, Sung-Hong Park, Won-Jin Moon, Jong Chul Ye:
Unsupervised resolution-agnostic quantitative susceptibility mapping using adaptive instance normalization. Medical Image Anal. 79: 102477 (2022) - [j75]Hyungjin Chung, Jong Chul Ye:
Score-based diffusion models for accelerated MRI. Medical Image Anal. 80: 102479 (2022) - [j74]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): 9931-9943 (2022) - [j73]Erik Meijering, Vince D. Calhoun, Gloria Menegaz, David J. Miller, Jong Chul Ye:
Deep Learning in Biological Image and Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 39(2): 24-26 (2022) - [j72]Mehmet Akçakaya, Burhaneddin Yaman, Hyungjin Chung, Jong Chul Ye:
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective. IEEE Signal Process. Mag. 39(2): 28-44 (2022) - [j71]Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound. IEEE Trans. Medical Imaging 41(2): 266-278 (2022) - [j70]Abdul Wahab, Shujaat Khan, Imran Naseem, Jong Chul Ye:
Performance Analysis of Fractional Learning Algorithms. IEEE Trans. Signal Process. 70: 5164-5177 (2022) - [c101]Inhwa Han, Boah Kim, Eung-Yeop Kim, Jong Chul Ye:
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization. AICAS 2022: 262-265 - [c100]Kwanyoung Kim, Taesung Kwon, Jong Chul Ye:
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. CVPR 2022: 1998-2006 - [c99]Gwanghyun Kim, Taesung Kwon, Jong Chul Ye:
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. CVPR 2022: 2416-2425 - [c98]Hyungjin Chung, Byeongsu Sim, Jong Chul Ye:
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. CVPR 2022: 12403-12412 - [c97]Gihyun Kwon, Jong Chul Ye:
CLIPstyler: Image Style Transfer with a Single Text Condition. CVPR 2022: 18041-18050 - [c96]Chanyong Jung, Gihyun Kwon, Jong Chul Ye:
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. CVPR 2022: 18239-18248 - [c95]Boah Kim, Inhwa Han, Jong Chul Ye:
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model. ECCV (31) 2022: 347-364 - [c94]Yujin Oh, Jong Chul Ye:
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation. ECCV (21) 2022: 627-643 - [c93]Jaeyoung Huh, Shujaat Khan, Jong Chul Ye:
Multi-Domain Unpaired Ultrasound Image Artifact Removal Using a Single Convolutional Neural Network. ICASSP 2022: 1206-1210 - [c92]Boah Kim, Jong Chul Ye:
Diffusion Deformable Model for 4D Temporal Medical Image Generation. MICCAI (1) 2022: 539-548 - [c91]Chanyong Jung, Joonhyung Lee, Sunkyoung You, Jong Chul Ye:
Patch-Wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising. MICCAI (6) 2022: 634-643 - [c90]Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, Jong Chul Ye:
Improving Diffusion Models for Inverse Problems using Manifold Constraints. NeurIPS 2022 - [c89]Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. NeurIPS 2022 - [e3]Marc Louis Klasky, Jong Chul Ye:
Machine Learning for Scientific Imaging 2022, online, January 15-26, 2022. Society for Imaging Science and Technology 2022 [contents] - [i120]Beomsu Kim, Jong Chul Ye:
Energy-Based Contrastive Learning of Visual Representations. CoRR abs/2202.04933 (2022) - [i119]