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Kuk-Jin Yoon
Kuk-Jin Yoon
Professor, Visual Intelligence Lab., KAIST
Verified email at kaist.ac.kr - Homepage
Title
Cited by
Cited by
Year
Adaptive support-weight approach for correspondence search
KJ Yoon, IS Kweon
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
17412006
Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks
L Wang, KJ Yoon
IEEE transactions on pattern analysis and machine intelligence 44 (6), 3048-3068, 2021
11002021
Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning
SH Bae, KJ Yoon
Computer Vision and Pattern Recognition, 2014. CVPR 2014. IEEE Computer …, 2014
5722014
Unlocking the potential of ordinary classifier: Class-specific adversarial erasing framework for weakly supervised semantic segmentation
H Kweon, SH Yoon, H Kim, D Park, KJ Yoon
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
4792021
Weakly supervised semantic segmentation via adversarial learning of classifier and reconstructor
H Kweon, SH Yoon, KJ Yoon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
3902023
Locally adaptive support-weight approach for visual correspondence search
KJ Yoon, IS Kweon
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
3752005
From sam to cams: Exploring segment anything model for weakly supervised semantic segmentation
H Kweon, KJ Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
3512024
Adversarial erasing framework via triplet with gated pyramid pooling layer for weakly supervised semantic segmentation
SH Yoon, H Kweon, J Cho, S Kim, KJ Yoon
European conference on computer vision, 326-344, 2022
3512022
Class tokens infusion for weakly supervised semantic segmentation
SH Yoon, H Kwon, H Kim, KJ Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
3332024
Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking
SH Bae, KJ Yoon
IEEE transactions on pattern analysis and machine intelligence 40 (3), 595-610, 2017
3332017
Joint learning of 2d-3d weakly supervised semantic segmentation
H Kweon, KJ Yoon
Advances in Neural Information Processing Systems 35, 30499-30511, 2022
3032022
Diffusion-guided weakly supervised semantic segmentation
SH Yoon, H Kwon, J Jeong, D Park, KJ Yoon
European Conference on Computer Vision, 393-411, 2024
2942024
Exploring pixel-level self-supervision for weakly supervised semantic segmentation
SH Yoon, H Kweon, J Jeong, H Kim, S Kim, KJ Yoon
arXiv preprint arXiv:2112.05351, 2021
2822021
Bayesian multi-object tracking using motion context from multiple objects
JH Yoon, MH Yang, J Lim, KJ Yoon
2015 IEEE winter conference on applications of computer vision, 33-40, 2015
2762015
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
L Wang, SM Mostafavi I., YS Ho, KJ Yoon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
2672019
Online multi-object tracking via structural constraint event aggregation
J Hong Yoon, CR Lee, MH Yang, KJ Yoon
Proceedings of the IEEE Conference on computer vision and pattern …, 2016
2292016
High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm
M Kang, I Cho, J Park, J Jeong, K Lee, B Lee, D Del Orbe Henriquez, ...
ACS sensors 7 (2), 430-440, 2022
2132022
Improving person re-identification via pose-aware multi-shot matching
YJ Cho, KJ Yoon
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1572016
Spherephd: Applying cnns on a spherical polyhedron representation of 360deg images
Y Lee, J Jeong, J Yun, W Cho, KJ Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1492019
Leveraging stereo matching with learning-based confidence measures
MG Park, KJ Yoon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1432015
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Articles 1–20