Browse "AI-Conference Papers(학술대회논문)" by Author Ye, Jong Chul
Showing results 1 to 60 of 99
| Accurate inversion of absorption and scattering in diffuse optical tomography without iterative green's function update Lee, Okkyun; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.661 - 664, Institute of Electrical and Electronics Engineers Inc., 2014-04 |
| Annihilating Filter-based Low Rank Hankel Matrix Approach for Biomedical Imaging and Image Processing Ye, Jong Chul, Mathematics in Imaging, OSA (Optical Society of America), 2016-07 |
| Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification Bae, Woong; Yoo, Jaejun; Ye, Jong Chul, 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1141 - 1149, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-07 |
| Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer Lim, Sungjun; Ye, Jong Chul, 2nd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2019, pp.173 - 180, Springer, 2019-10-17 |
| CLIPstyler: Image Style Transfer with a Single Text Condition Kwon, Gihyun; Ye, Jong Chul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18041 - 18050, IEEE COMPUTER SOC, 2022-06 |
| Coherent source imaging and dynamic support tracking for inverse scattering using compressive MUSIC Lee, OK; Kim, JM; Yoo, JJ; Jin, KH; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08 |
| Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction Chung, Hyungjin; Sim, Byeongsu; Ye, Jong Chul, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.12403 - 12412, IEEE Computer Society, 2022-06 |
| Compressed sensing pulse-echo mode thz tomography Jin, K.H.; Lee, O.K.; Ye, Jong Chul, 34th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2009, Optical Society of America, 2009-09-21 |
| Compressed Sensing Reconstruction of Statistical Parameter Map for Functional Diffuse Optical Tomography Lee, O; Kim, J; Bresler, Y; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.94 - 97, IEEE EMBS, 2012-05 |
| Compressive dynamic aperture B-mode ultrasound imaging using annihilating filter-based low-rank interpolation Jin, Kyong Hwan; Han, Yo Seob; Ye, Jong Chul, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, pp.1009 - 1012, IEEE Computer Society, 2016-04 |
| Compressive MUSIC with optimized partial support for joint sparse recovery Kim, JM; Lee, OK; Ye, Jong Chul, IEEE International Symposium on Information Theory(ISIT), IEEE, 2011-07 |
| Compressive subspace fitting for multiple measurement vectors Kim, Jong Min; Ye, Jong Chul, IEEE Statistical Signal Processing Workshop, pp.576 - 579, IEEE Signal Processing Society, 2012-08 |
| Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models Ye, Jong Chul; KWON, GIHYUN; Simon Jenni; Dingzeyu Li; Joon-Young Lee; Fabian Caba Heilbron, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06 |
| Continuous Localization Using Sparsity Constraints for High-Density Super-resolution Microscopy Min, Junhong; Vonesch, C´edric; Olivier, Nicolas; Kirshner, Hagai; Manley, Suliana; Ye, Jong Chul; Unser, Michael, IEEE International Symposium on Biomedical Imaging (ISBI), pp.177 - 180, IEEE, 2013-04 |
| Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization Han, Inhwa; Kim, Boah; Kim, Eung Yeop; Ye, Jong Chul, 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2022, pp.262 - 265, Institute of Electrical and Electronics Engineers Inc., 2022-06 |
| Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing Ye, Jong Chul; Hyelin Nam; KWON, GIHYUN; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, IEEE Computer Society, 2024-06 |
| CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation Oh, Yujin; Ye, Jong Chul, 17th European Conference on Computer Vision (ECCV), pp.627 - 643, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems Ye, Jong Chul; Chung, Hyungjin; Suhyeon Lee, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05 |
| Deep residual learning for compressed sensing MRI Lee, Dongwook; Yoo, Jaejun; Ye, Jong Chul, The IEEE International Symposium on Biomedical Imaging , IEEE, 2017-04 |
| Denoising MCMC for Accelerating Diffusion-Based Generative Models Kim, Beomsu; Ye, Jong Chul, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07 |
| Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation Kwon, Gihyun; Ye, Jong Chul, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp.13960 - 13969, IEEE, 2021-10 |
| DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model Kim, Boah; Han, Inhwa; Ye, Jong Chul, 17th European Conference on Computer Vision (ECCV), pp.347 - 364, SPRINGER INTERNATIONAL PUBLISHING AG, 2022-10 |
| Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation Kim, Boah; Oh, Yujin; Ye, Jong Chul, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05 |
| Diffusion Deformable Model for 4D Temporal Medical Image Generation Kim, Boah; Ye, Jong Chul, 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, pp.539 - 548, Springer Science and Business Media Deutschland GmbH, 2022-09 |
| Diffusion Posterior Sampling for General Noisy Inverse Problems Chung, Hyungjin; Kim, Jeongsol; Mccann, Michael T; Klasky, Marc L; Ye, Jong Chul, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05 |
| Diffusion-based Image Translation using disentangled style and content representation Kwon, Gihyun; Ye, Jong Chul, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05 |
| DiffusionCLIP Text-Guided Diffusion Models for Robust Image Manipulation Kim, Gwanghyun; Kwon, Taesung; Ye, Jong Chul, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, pp.2416 - 2425, IEEE Computer Society, 2022-06 |
| Direct Diffusion Bridge using Data Consistency for Inverse Problems Chung, Hyungjin; Kim, jeongsol; Ye, Jong Chul, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12 |
| Don't Play Favorites: Minority Guidance for Diffusion Models Ye, Jong Chul; Um, Soo Bin; Suhyeon Lee, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05 |
| Dynamic 3D PET Reconstruction for Kinetic Analysis Using Patch-Based Low-Rank Penalty Kim, Kyung Sang; Son, YD; Cho, Zang-Hee; Ra, Jong Beom; Ye, Jong Chul, IEEE Nuclear Science Symposium and Medical Imaging Conference, pp.3430 - 3433, IEEE, NPSS, 2012-10 |
| Dynamic sparse support tracking with multiple measurement vectors using compressive MUSIC Kim, JM; Lee, OK; Ye, Jong Chul, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE SPS, 2012-03 |
| ECG-gated cardiac CT reconstruction using patch based low rank regularization Kim, Kyungsang; Ye, Jong Chul, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp.437 - 440, Institute of Electrical and Electronics Engineers Inc., 2014-04 |
| ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF Ye, Jong Chul; JangHo Park; KWON, GIHYUN, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05 |
| Elastic Scattering Coefficients Hu, G; Wahab, A; Ye, Jong Chul, Mathematics in Imaging, OSA (Optical Society of America), 2016-07 |
| Energy-Based Contrastive Learning of Visual Representations Kim, Beomsu; Ye, Jong Chul, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Park, Geon Yeong; Kim, jeongsol; Kim, Beomsu; Lee, Sang Wan; Ye, Jong Chul, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12 |
| Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks Jung, Chanyong; Kwon, Gihyun; Ye, Jong Chul, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.18239 - 18248, IEEE COMPUTER SOC, 2022-06 |
| Fast implementation of fully iterative scatter corrected OSEM for HRRT using GPU Kim, K.S.; Ye, Jong Chul, 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010, pp.3330 - 3332, 123, 2010-10-30 |
| Fast live cell imaging at nanometer scale using annihilating filter based low rank Hankel matrix approach Min, Junhong; Carlini, Lina; Unser, Michael; Manley, Suliana; Ye, Jong Chul, Conference on Wavelets and Sparsity XVI, SPIE, 2015-08-10 |
| General linear model and inference for near infrared spectroscopy using global confidence region analysis Tak, S.; Jang, K.-E.; Jung, J.; Jang, J.; Ye, Jong Chul, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, pp.476 - 479, 123, 2008-05-14 |
| Globally Convergent 3D Dynamic PET reconstruction with Patch-based Non-convex Low Rank Regularization Kim, Kyung Sang; Son,Young Don; Son, Zang Hee; Ra, Jong Beom; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.1158 - 1161, IEEE, 2013-04 |
| Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models Ye, Jong Chul; 정현호, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05 |
| Group sparse dictionary learning and inference for resting-state fMRI analysis of Alzheimer's disease Lee, Jeonghyeon; Jeong, Yong; Ye, Jong Chul, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, pp.540 - 543, IEEE, 2013-04-07 |
| High resolution dynamic MRI using motion estimated and compensated compressed sensing Jung, H.; Ye, Jong Chul, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, pp.1617 - 1620, 123, 2008-05-14 |
| High resolution projection reconstruction MR imaging using FOCUSS Sungho, T.; Jaeheung, Y.; Ye, Jong Chul, Computational Imaging V, 123, 2007-01-29 |
| Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach Cha, EJ; Jin, KH; Lee, D; Kim, EY; Choi, SH; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-14 |
| Improved volumetric imaging for DCE-MRI using parallel imaging and dynamic compressed sensing Yoon, Huisu; Park, Sung-Hong; Ye, Jong Chul, 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014, pp.483 - 486, Institute of Electrical and Electronics Engineers Inc., 2014-12 |
| Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Lee, Suhyeon; Chung, Hyungjin; Park, Minyoung; Park, Jonghyuk; Ryu, Wi-Sun; Ye, Jong Chul, International Conference on Computer Vision, ICCV 2023, IEEE Computer Society, 2023-10 |
| Improving Diffusion Models for Inverse Problems using Manifold Constraints Chung, Hyungjin; Sim, Byeongsu; Ryu, Dohoon; Ye, Jong Chul, 36th Conference on Neural Information Processing Systems, NeurIPS 2022, Neural information processing systems foundation, 2022-11 |
| Improving Resolution of Fluorescent Microscopy using Speckle Illumination and Joint Sparse Recovery Ye, Jong Chul; Min, Junhong; Jang, Jaeduck, IEEE International Symposium on Biomedical Imaging (ISBI), pp.596 - 599, IEEE, 2013-04 |
| Iterative scatter correction for digital tomosynthesis using composition ratio update and GPU based Monte Carlo simulation Kim, KS; Seong, YH; Lee, J; Jang, KE; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE EMBS, 2012-05 |
| Joint Sparse Recovery in Inverse Scattering Lee, Okkyun; Ye, Jong Chul, Conference on Image Reconstruction from Incomplete Data VIII, SPIE, 2015-08-10 |
| L0-compressed sensing for parallel dynamic MRI using sparse Bayesian learning Jung, H; Yoon, HS; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE, 2011-03 |
| LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation Ye, Jong Chul; Suhyeon Lee; Won Jun Kim; Jinho Chang, The Twelfth International Conference on Learning Representations, ICLR 2024, International Conference on Learning Representations, 2024-05 |
| Minimizing Trajectory Curvature of ODE-based Generative Models Lee, Sangyun; Kim, Beomsu; Ye, Jong Chul, 40th International Conference on Machine Learning, ICML 2023, International Machine Learning Society (IMLS), 2023-07 |
| MMSE optimal non-local motion compensated k-t FOCUSS for compressed sensing cardiac cine imaging Yoon, Huisu; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), IEEE EMBS, 2012-05 |
| Motion compensated compressed sensing dynamic MRI with low-rank patch-based residual reconstruction Yoon, Huisu; Kim, Kyung Sang; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging (ISBI), pp.314 - 317, IEEE, 2013-04 |
| Motion Estimation/CompensatedCompressed
Sensing using Patch- Based Low Rank Penalty Yoon, Huisu; Ye, Jong Chul, Wavelets and Sparsity XV, SPIE, 2013-08 |
| MULTI-DOMAIN UNPAIRED ULTRASOUND IMAGE ARTIFACT REMOVAL USING A SINGLE CONVOLUTIONAL NEURAL NETWORK Huh, Jaeyoung; Khan, Shujaat; Ye, Jong Chul, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.1206 - 1210, Institute of Electrical and Electronics Engineers Inc., 2022-05 |
| Multi-view optical tomography using L1 data fidelity and sparsity constraint Jang, J.; Ye, Jong Chul, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XV, 123, 2008-01-21 |
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Type
- 605 Conference
Date issued
- 387 2020 - 2024
- 172 2010 - 2019
- 46 2001 - 2009