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Taekyung Kim 0002
Person information
- affiliation: Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Korea
Other persons with the same name
- Taekyung Kim — disambiguation page
- Taekyung Kim 0001 — University of Suwon, Department of Business Administration, Korea
- Taekyung Kim 0003 — Agency for Defense Development, Daejeon, Korea
- Taekyung Kim 0004 — Sungkyunkwan University, Biomedical Engineering Research Center, Samsung Medical Center, School of Medicine, Seoul, Korea
- Taekyung Kim 0005 — NAVER AI Lab
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2020 – today
- 2023
- [c12]Taekyung Kim, Debasmit Das, Seokeon Choi, Minki Jeong, Seunghan Yang, Sungrack Yun, Changick Kim:
Neural Transformation Network to Generate Diverse Views for Contrastive Learning. CVPR Workshops 2023: 4901-4911 - 2021
- [c11]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR 2021: 3425-3435 - [c10]Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim:
Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. ICCV 2021: 6158-6166 - [i10]Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim:
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. CoRR abs/2111.04310 (2021) - 2020
- [c9]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CVPR 2020: 10254-10263 - [c8]Taekyung Kim, Changick Kim:
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. ECCV (14) 2020: 591-607 - [c7]Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. WACV 2020: 2046-2054 - [i9]Taekyung Kim, Changick Kim:
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. CoRR abs/2007.09375 (2020) - [i8]Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim:
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR abs/2011.14670 (2020)
2010 – 2019
- 2019
- [c6]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. BMVC 2019: 67 - [c5]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CVPR 2019: 12456-12465 - [c4]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. ICCV 2019: 6091-6100 - [c3]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. ICCV 2019: 6829-6839 - [c2]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-Based Semantic Segmentation Using Level Set Loss. WACV 2019: 1752-1760 - [i7]Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim:
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CoRR abs/1905.05396 (2019) - [i6]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. CoRR abs/1908.00262 (2019) - [i5]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00589 (2019) - [i4]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. CoRR abs/1909.00597 (2019) - [i3]Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim:
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. CoRR abs/1909.13247 (2019) - [i2]Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-based Semantic Segmentation using Level Set Loss. CoRR abs/1910.00950 (2019) - [i1]Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim:
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CoRR abs/1912.01230 (2019) - 2018
- [c1]Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim:
Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. VCIP 2018: 1-4
Coauthor Index
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