| 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 | 728 | 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 | 714 | 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 | 615 | 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 International Conference on Learning Representations (ICLR), 2021 | 213* | 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 | 183 | 2022 |
| 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 | 178 | 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 | 169 | 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 | 161* | 2021 |
| 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 | 148 | 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 International Conference on Learning Representations (ICLR), 2022 | 108 | 2022 |
| What do self-supervised vision transformers learn? N Park, W Kim, B Heo, T Kim, S Yun International Conference on Learning Representations (ICLR), 2023 | 87 | 2023 |
| Videomix: Rethinking data augmentation for video classification S Yun, SJ Oh, B Heo, D Han, J Kim arXiv preprint arXiv:2012.03457, 2020 | 87 | 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 | 85 | 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 | 64 | 2018 |
| 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 | 36 | 2017 |
| 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 | 34 | 2023 |
| 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 |
| Rotary position embedding for vision transformer B Heo, S Park, D Han, S Yun European Conference on Computer Vision, 289-305, 2024 | 23 | 2024 |
| 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 | 22 | 2022 |
Sangdoo YunNAVER AI LabE-mail megerősítve itt: navercorp.com