Taekyung Kim

Orcid: 0000-0001-7401-098X

Affiliations:

Korea Advanced Institute of Science and Technology, School of Electrical Engineering, Daejeon, Korea

According to our database¹, Taekyung Kim authored at least 13 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2023

Neural Transformation Network to Generate Diverse Views for Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta Batch-Instance Normalization for Generalizable Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation.

[BibT_eX]

[DOI]

Taekyung Kim

Changick Kim

Proceedings of the Computer Vision - ECCV 2020, 2020

Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

CNN-Based Semantic Segmentation Using Level Set Loss.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation.

[BibT_eX]

[DOI]

Jaehoon Choi

Taekyung Kim

Changick Kim

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Weakly Supervised Semantic Segmentation Using Color Adjacency Loss.

[BibT_eX]

[DOI]

Proceedings of the IEEE Visual Communications and Image Processing, 2018

Taekyung Kim

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