Ye, Jong Chul; Kim, kwanyoung; Oh, Yujin, The 18th European Conference on Computer Vision, ECCV 2024, 2024-10
Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Yun, Seyoung, International Joint Conference on Artificial Intelligence, 2024-08-09
Kim, Mingyu; Kim Jun-Seong; Yun, Se-Young; Jin-Hwa Kim, International Conference on Machine Learning, 2024-07-24
Jongwoo Ko; Sungnyun Kim; Tianyi Chen; Yun, Seyoung, The Forty-first International Conference on Machine Learning, 2024-07-23
LEE, GIHUN; Minchan Jeong; SangMook Kim; Jaehoon Oh; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2024-06-20
Yujin Kim; Jaehong Yoon; Seonghyeon Ye; Sangmin Bae; Namgyu Ho; Sung Ju Hwang; Yun, Seyoung, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2024-06-17
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, 2024-06
Ye, Jong Chul; PARK, GEONYEONG; Jung, Chanyong; Sangmin Lee; Lee, Sang Wan, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
Ye, Jong Chul; Hyeonho Jeong; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
Ye, Jong Chul; Hyelin Nam; KWON, GIHYUN; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
Sparse dictionary learning for resting-state fMRI analysis Lee, KJ; Han, PK; Ye, Jong Chul, Wavelets and Sparsity XIV, SPIE, 2011-08 |
Ultra-Fast Hybrid CPU-GPU Monte Carlo Simulation for Scatter Correction in 3D PETs Kim, KS; Ye, Jong Chul, IEEE Nuclear Science Symposium and Medical Imaging Conference(NSS/MIC), IEEE, 2011-10 |
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 |
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 |
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 |
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 |
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 |
Subwavelength Silicon Honeycomb Structure for Tailored Index in Terahertz Broadband Region Park, Sang-Gil; Jin, Kyong-Hwan; Yi, Minwoo; Ye, Jong Chul; Ahn, Jaewook; Jeong, KI-HUN, IEEE Optical MEMS and Nanophotonics 2012, IEEE, 2012-08-06 |
Resting-state fMRI Analysis of Alzheimer's Disease Progress Using Sparse Dictionary Learning Lee, Jeonghyeon; Ye, Jong Chul, 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012, pp.1051 - 1053, IEEE, Advancing Technology for Humanity, 2012-10 |
Optimal CSMA: A Survey Se-Young Yun; Yung Yi; Shin, Jinwoo; Do Young Eun, IEEE ICCS, IEEE, 2012-11-21 |
Energy-optimal collaborative GPS Localization with Short Range Communication Kwak, Jeongho; Kim, jihwan; Chong, Song, WiOpt 2013, pp.1 - 9, IEEE, 2013-05-14 |
CSMA over Time-varying Channels: Optimality, Uniqueness and Limited Backoff Rate Se-Young Yun; Shin, Jinwoo; Yung Yi, ACM MOBIHOC, pp.137 - 146, ACM, 2013-07-29 |
Motion Estimation/CompensatedCompressed
Sensing using Patch- Based Low Rank Penalty Yoon, Huisu; Ye, Jong Chul, Wavelets and Sparsity XV, SPIE, 2013-08 |
Impact of Surrounding Information on Wi-Fi Sensing Efficiency Jeong, Jaeseong; Lee, Joohyun; Kim, Yeongjin; Lee, Jaewoong; Chong, Song, ICTC2013, pp.410 - 415, Minisrty of Science, ICT and Future Planning, 2013-10-14 |
A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles Shin, Jinwoo; Andrew E. Gelfand; Michael Chertkov, NIPS2013, NIPS, 2013-12-05 |
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization Shin, Kijung; Kang, U, IEEE International Conference on Data Mining (ICDM), IEEE Computer Society, 2014-12-16 |
Joint Active Feature Acquisition And Classification With Variable-Size Set Encoding Shim, Hajin; Hwang, Sung Ju; Yang, Eunho, 32th Conference on Neural Information Processing Systems, Neural Information Processing Systems, 2018-12-05 |
Synthesis of MCMC and Belief Propagation Ahn, Sungsoo; Chertkov, Michael; Shin, Jinwoo, NIPS 2016, Neural Information Processing Systems Foundation, 2016-12-07 |
Training Confidence-Calibrated Classifiers for Detecting Out-of-Distribution Samples Lee, Kimin; Lee, Kibok; Lee, Honglak; Shin, Jinwoo, 6th International Conference on Learning Representations, ICLR 2018, 6th International Conference on Learning Representations, ICLR 2018, 2018-05-01 |
Hierarchical Novelty Detection for Visual Object Recognition Lee, Kibok; Lee, Kimin; Min, Kyle; Zhang, Yuting; Shin, Jinwoo; Lee, Honglak, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1034 - 1042, IEEE Computer Society, 2018-06-20 |
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