AI-Conference Papers(학술대회논문)
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1
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation
Ye, Jong Chul; Kim, kwanyoung; Oh, Yujin, The 18th European Conference on Computer Vision, ECCV 2024, 2024-10
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2
Fine-tuning Pre-trained Models for Robustness Under Noisy Labels
Sumyeong Ahn; Sihyeon Kim; Jongwoo Ko; Yun, Seyoung, International Joint Conference on Artificial Intelligence, 2024-08-09
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3
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving NeRFs from Sparse Inputs
Kim, Mingyu; Kim Jun-Seong; Yun, Se-Young; Jin-Hwa Kim, International Conference on Machine Learning, 2024-07-24
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DistiLLM: Towards Streamlined Distillation for Large Language Models
Jongwoo Ko; Sungnyun Kim; Tianyi Chen; Yun, Seyoung, The Forty-first International Conference on Machine Learning, 2024-07-23
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FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
LEE, GIHUN; Minchan Jeong; SangMook Kim; Jaehoon Oh; Yun, Seyoung, The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, 2024-06-20
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Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
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
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7
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, 2024-06
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Self-supervised debiasing using low rank regularization
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
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VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models
Ye, Jong Chul; Hyeonho Jeong; PARK, GEONYEONG, 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, 2024-06
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10
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, 2024-06
Collection's Items (Sorted by Submit Date in Descending order): 501 to 520 of 605
| Hierarchically-partitioned Gaussian Process Approximation Lee, Byung-Jun; Lee, Jongmin; Kim, Kee-Eung, 20th International Conference on Artificial Intelligence and Statistics (AISTATS), pp.822 - 831, AISTATS Committee, 2017-04-21 |
| NIRS-SPM: statistical parametric mapping for near infrared spectroscopy Tak, Sung-Ho; Jang, Kwang Eun; Jung, Jin-Wook; Jang, Jae-Duck; Jeong, Yong; Ye, Jong Chul, Multimodal Biomedical Imaging III, pp.6850, SPIE, 2008-01-14 |
| Optimality of Belief Propagation for Crowdsourced Classification Ok, Jeongseul; Shin, Jinwoo; Yi, Yung, 33rd International Conference on Machine Learning, ICML 2016, pp.803 - 818, International Machine Learning Society (IMLS), 2016-06-20 |
| Distributed Coordination Maximization over Networks: A Stochastic Approximation Approach Jang, Hyeryung; Shin, Jinwoo; Yi, Yung; Yun, SeYoung, ACM MOBIHOC, ACM, 2016-07-07 |
| Estimating the Rumor Source with Anti-Rumor in Social Networks Choi, Jaeyoung; Shin, Jinwoo; Yi, Yung; Moon, Sangwoo, ICNP Workshop on Machine Learning, IEEE, 2016-11-08 |
| Joint Sparse Recovery in Inverse Scattering Lee, Okkyun; Ye, Jong Chul, Conference on Image Reconstruction from Incomplete Data VIII, SPIE, 2015-08-10 |
| 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 |
| Sparse-view X-ray spectral CT reconstruction using annihilating filter-based low rank hankel matrix approach Han, Yo Seob; Jin, Kyong Hwan; Kim, Kyungsang; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, pp.573 - 576, IEEE, 2016-04-14 |
| Reference-free EPI Nyquist ghost correction using annihilating filter-based low rank hankel matrix for K-space interpolation Lee, Juyoung; Jin, Kyong Hwan; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-16 |
| Sparse and low-rank decomposition of MR artifact images using annihilating filter-based Hankel matrix Jin, Kyong Hwan; Lee, Juyoung; Lee, Dongwook; Ye, Jong Chul, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, IEEE, 2016-04-16 |
| Elastic Scattering Coefficients Hu, G; Wahab, A; Ye, Jong Chul, Mathematics in Imaging, OSA (Optical Society of America), 2016-07 |
| 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 |
| Recent progresses of accelerated MRI using annihilating filter-based low-rank interpolation Jin, Kyong Hwan; Lee, Dong Wook; Lee, Juyoung; Ye, Jong Chul, IEEE International Conference on Image Processing, ICIP 2016, IEEE Signal Processing Society, 2016-09 |
| Random impulse noise removal using sparse and low rank decomposition of annihilating filter-based Hankel matrix Jin, Kyong Hwan; Ye, Jong Chul, IEEE International Conference on Image Processing, ICIP 2016, IEEE Signal Processing Society, 2016-09 |
| Multi-View Automatic Lip-Reading using Neural Network Lee, Daehyun; Lee, Jongmin; Kim, Kee-Eung, 13th Asian Conference on Computer Vision (ACCV), pp.290 - 302, Asian Federation of Computer Vision (AFCV), 2016-11-20 |
| Neural Dialog State Tracker for Large Ontologies by Attention Mechanism Jang, Youngsoo; Ham, Jiyeon; Lee, Byung-Jun; Chang, Youngjae; Kim, Kee-Eung, IEEE Workshop on Spoken Language Technology, IEEE, 2016-12-15 |
| Asymmetric Multi-task Learning Based on Task Relatedness and Confidence Lee, Giwoong; Yang, Eunho; Hwang, Sungju, International Conference on Machine Learning (ICML) 33, International Machine Learning Society (IMLS), 2016-06-19 |
| Reward Shaping for Model-Based Bayesian Reinforcement Learning Kim, Hyeoneun; Kim, Kee Eung; Lim, Woosang; Lee, Kang Hoon; Noh, Yung Kyun, 29th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01 |
| Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Poupart, Pascal; Malhotra, Aarti; Pei Pei; Kim, Kee Eung; Goh, Bongseok; Bowling, Michael, 29th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01 |
| Tighter Value Function Bounds for Bayesian Reinforcement Learning Lee, Kang Hoon; Kim, Kee Eung, 29th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), 2015-01 |
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Date issued
- 387 2020 - 2024
- 172 2010 - 2019
- 46 2001 - 2009