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 | 610 | 2019 |
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 | 601 | 2021 |
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 | 530 | 2019 |
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 | 190* | 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 | 160 | 2021 |
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 | 158 | 2019 |
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 | 138* | 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 | 134 | 2022 |
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 | 122 | 2021 |
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 | 93 | 2021 |
Videomix: Rethinking data augmentation for video classification S Yun, SJ Oh, B Heo, D Han, J Kim arXiv preprint arXiv:2012.03457, 2020 | 74 | 2020 |
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 | 62 | 2022 |
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 | 57 | 2018 |
What do self-supervised vision transformers learn? N Park, W Kim, B Heo, T Kim, S Yun arXiv preprint arXiv:2305.00729, 2023 | 53 | 2023 |
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 | 33 | 2017 |
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 | 28 | 2013 |
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 | 24 | 2019 |
Scratching visual transformer's back with uniform attention N Hyeon-Woo, K Yu-Ji, B Heo, D Han, SJ Oh, TH Oh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
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 | 15 | 2022 |
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 | 13 | 2017 |