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Taekyung Kim
Taekyung Kim
NAVER AI Lab
Verified email at navercorp.com
Title
Cited by
Cited by
Year
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
T Kim, M Jeong, S Kim, S Choi, C Kim
CVPR: Conference on Computer Vision and Pattern Recognition, 2019
3602019
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
S Choi, S Lee, Y Kim, T Kim, C Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3562020
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
J Choi, T Kim, C Kim
ICCV: International Conference on Computer Vision, 2019
3062019
Self-Training with Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
S Kim, J Choi, T Kim, C Kim
ICCV: International Conference on Computer Vision, 2019
2332019
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
S Choi, T Kim, M Jeong, H Park, C Kim
CVPR: Conference on Computer Vision and Pattern Recognition, 2021
1632021
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
T Kim, C Kim
ECCV: European Conference on Computer Vision, 2020
1612020
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
J Choi, M Jeong, T Kim, C Kim
BMVC: British Machine Vision Conference, 2019
1162019
CNN-Based Semantic Segmentation Using Level Set Loss
Y Kim, S Kim, T Kim, C Kim
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
722019
What Do Self-Supervised Vision Transformers Learn?
N Park, W Kim, B Heo, T Kim, S Yun
The Eleventh International Conference on Learning Representations, 2023
662023
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
H Heo, T Kim, J Lee, J Lee, S Kim, HJ Kim, JH Kim
Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2023
232023
RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation
Y Kim, H Lee, S Choi, T Kim, C Kim
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
112020
Just a few points are all you need for multi-view stereo: A novel semi-supervised learning method for multi-view stereo
T Kim, J Choi, S Choi, D Jung, C Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
Learning to Align Multi-Camera Domains using Part-Aware Clustering for Unsupervised Video Person Re-Identification
Y Kim, S Choi, T Kim, S Lee, C Kim
arXiv preprint arXiv:1909.13248, 2019
32019
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
W Kim, S Chun, T Kim, D Han, S Yun
Accepted to ECCV 2024, 2024
22024
Morphing Tokens Draw Strong Masked Image Models
T Kim, D Han, B Heo
arXiv preprint arXiv:2401.00254, 2023
22023
Augmenting Sub-model to Improve Main Model
B Heo, T Kim, S Yun, D Han
arXiv preprint arXiv:2306.11339, 2023
22023
ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty
H Kim, H Yang, T Kim, YS Kim, JH Kim, BT Zhang
arXiv preprint arXiv:2405.02568, 2024
12024
Leveraging Temporal Contextualization for Video Action Recognition
M Kim, D Han, T Kim, B Han
Accepted to ECCV 2024, 2024
12024
Learning with Unmasked Tokens Drives Stronger Vision Learners
T Kim, S Chun, B Heo, D Han
Accepted to ECCV 2024, 2023
1*2023
Suggesting a New and Easier System Function by Detecting User's Action Sequences
S Yun, H Park, S Yang, H Lim, T Kim, J Choi, KW Hwang
US Patent US20240045782A1, 2024
2024
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