Byeongho Heo
Byeongho Heo
NAVER AI LAB
Verified email at navercorp.com - Homepage
Title
Cited by
Cited by
Year
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
952019
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
932019
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
512019
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
272013
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
202019
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
182017
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
Proceedings of the International Conference on Learning Representations …, 2021
16*2021
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
152018
Rethinking spatial dimensions of vision transformers
B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh
arXiv preprint arXiv:2103.16302, 2021
92021
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
arXiv preprint arXiv:2101.05022, 2021
92021
Method and apparatus for processing image
S Hwang, S Yun, H Jeong, J Choi, B Heo, K Woo-Sung
US Patent 9,639,758, 2017
92017
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
82018
Rexnet: Diminishing representational bottleneck on convolutional neural network
D Han, S Yun, B Heo, YJ Yoo
arXiv preprint arXiv:2007.00992, 2020
62020
Weighted pooling based on visual saliency for image classification
B Heo, H Jeong, J Kim, SI Choi, JY Choi
International Symposium on Visual Computing, 647-657, 2014
22014
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
12021
Filter Pruning and Re-Initialization via Latent Space Clustering
S Lee, B Heo, JW Ha, BC Song
IEEE Access 8, 189587-189597, 2020
12020
Deep learning architecture for pedestrian 3-d localization and tracking using multiple cameras
K Kim, B Heo, M Byeon, JY Choi
2017 IEEE International Conference on Image Processing (ICIP), 1147-1151, 2017
12017
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection
S Yun, H Jeong, WS Kang, B Heo, JY Choi
2014 22nd International Conference on Pattern Recognition, 4246-4250, 2014
12014
Motion-aware ensemble of three-mode trackers for unmanned aerial vehicles
K Lee, HJ Chang, J Choi, B Heo, A Leonardis, JY Choi
Machine Vision and Applications 32 (3), 1-12, 2021
2021
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks
Y Ro, J Choi, B Heo, JY Choi
IEEE Transactions on Neural Networks and Learning Systems, 2021
2021
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