Taekyung Kim

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 22

Top Topics

Semantic Segmentation

Top Venues

Publications

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)
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)
Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation. CoRR (2021)
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CVPR (2021)
Taekyung Kim, Changick Kim
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. CoRR (2020)
Taekyung Kim, Changick Kim
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation. ECCV (14) (2020)
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CVPR (2020)
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)
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim
Meta Batch-Instance Normalization for Generalizable Person Re-Identification. CoRR (2020)
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification. CoRR (2019)
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. BMVC (2019)
Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. ICCV (2019)
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CoRR (2019)
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. CoRR (2019)
Youngeun Kim, Hankyeol Lee, Seokeon Choi, Taekyung Kim, Changick Kim
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation. CoRR (2019)
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim
CNN-Based Semantic Segmentation Using Level Set Loss. WACV (2019)
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim
CNN-based Semantic Segmentation using Level Set Loss. CoRR (2019)
Jaehoon Choi, Taekyung Kim, Changick Kim
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation. CoRR (2019)
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CVPR (2019)
Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. CoRR (2019)
Jaehoon Choi, Taekyung Kim, Changick Kim
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. ICCV (2019)
Youngeun Kim, Taekyung Kim, Seunghyeon Kim, Changick Kim
Weakly Supervised Semantic Segmentation Using Color Adjacency Loss. VCIP (2018)