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Byeongho Heo
Byeongho Heo
NAVER AI Lab
Bestätigte E-Mail-Adresse bei navercorp.com - Startseite
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Zitiert von
Zitiert von
Jahr
Rethinking spatial dimensions of vision transformers
B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
5592021
A Comprehensive Overhaul of Feature Distillation
B Heo, J Kim, S Yun, H Park, N Kwak, JY Choi
Proceedings of the IEEE International Conference on Computer Vision, 1921-1930, 2019
5572019
Knowledge transfer via distillation of activation boundaries formed by hidden neurons
B Heo, M Lee, S Yun, JY Choi
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3779-3787, 2019
4902019
Adamp: Slowing down the slowdown for momentum optimizers on scale-invariant weights
B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha
arXiv preprint arXiv:2006.08217, 2020
180*2020
Re-labeling imagenet: from single to multi-labels, from global to localized labels
S Yun, SJ Oh, B Heo, D Han, J Choe, S Chun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1532021
Knowledge distillation with adversarial samples supporting decision boundary
B Heo, M Lee, S Yun, JY Choi
Proceedings of the AAAI Conference on Artificial Intelligence 33, 3771-3778, 2019
1462019
Rethinking channel dimensions for efficient model design
D Han, S Yun, B Heo, YJ Yoo
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2021
127*2021
The majority can help the minority: Context-rich minority oversampling for long-tailed classification
S Park, Y Hong, B Heo, S Yun, JY Choi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1202022
Show, attend and distill: Knowledge distillation via attention-based feature matching
M Ji, B Heo, S Park
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7945-7952, 2021
1142021
Vidt: An efficient and effective fully transformer-based object detector
H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang
arXiv preprint arXiv:2110.03921, 2021
782021
Videomix: Rethinking data augmentation for video classification
S Yun, SJ Oh, B Heo, D Han, J Kim
arXiv preprint arXiv:2012.03457, 2020
672020
Visdrone-sot2018: The vision meets drone single-object tracking challenge results
L Wen, P Zhu, D Du, X Bian, H Ling, Q Hu, C Liu, H Cheng, X Liu, W Ma, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
542018
Joint global and local hierarchical priors for learned image compression
JH Kim, B Heo, JS Lee
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
532022
What do self-supervised vision transformers learn?
N Park, W Kim, B Heo, T Kim, S Yun
arXiv preprint arXiv:2305.00729, 2023
422023
Appearance and motion based deep learning architecture for moving object detection in moving camera
B Heo, K Yun, JY Choi
2017 IEEE international conference on image processing (ICIP), 1827-1831, 2017
352017
Initialization-insensitive visual tracking through voting with salient local features
KM Yi, H Jeong, B Heo, HJ Chang, JY Choi
Proceedings of the IEEE International Conference on Computer Vision, 2912-2919, 2013
282013
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification
Y Ro, J Choi, DU Jo, B Heo, J Lim, JY Choi
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8859-8867, 2019
242019
Method and apparatus for processing image
S Hwang, S Yun, H Jeong, JY Choi, B Heo, K Woo-Sung
US Patent 9,639,758, 2017
132017
An extendable, efficient and effective transformer-based object detector
H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang
arXiv preprint arXiv:2204.07962, 2022
122022
Pose transforming network: Learning to disentangle human posture in variational auto-encoded latent space
J Lim, Y Yoo, B Heo, JY Choi
Pattern Recognition Letters 112, 91-97, 2018
122018
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