| Improving vision transformers to learn small-size dataset from scratch S Lee, S Lee, BC Song IEEE Access 10, 123212-123224, 2022 | 185* | 2022 |
| Self-supervised knowledge distillation using singular value decomposition SH Lee, DH Kim, BC Song Proceedings of the European conference on computer vision (ECCV), 335-350, 2018 | 160 | 2018 |
| Cfa: Coupled-hypersphere-based feature adaptation for target-oriented anomaly localization S Lee, S Lee, BC Song IEEE Access 10, 78446-78454, 2022 | 112 | 2022 |
| Graph-based knowledge distillation by multi-head attention network S Lee, BC Song arXiv preprint arXiv:1907.02226, 2019 | 95 | 2019 |
| Facial landmark-based emotion recognition via directed graph neural network QT Ngoc, S Lee, BC Song Electronics 9 (5), 764, 2020 | 65 | 2020 |
| Real-time purchase behavior recognition system based on deep learning-based object detection and tracking for an unmanned product cabinet DH Kim, S Lee, J Jeon, BC Song Expert Systems with Applications 143, 113063, 2020 | 29 | 2020 |
| Infrared image super-resolution using auxiliary convolutional neural network and visible image under low-light conditions TY Han, DH Kim, SH Lee, BC Song Journal of Visual Communication and Image Representation 51, 191-200, 2018 | 25 | 2018 |
| Object detection using improved bi-directional feature pyramid network TN Quang, S Lee, BC Song Electronics 10 (6), 746, 2021 | 16 | 2021 |
| Channel pruning via gradient of mutual information for light-weight convolutional neural networks MK Lee, S Lee, SH Lee, BC Song 2020 IEEE International Conference on Image Processing (ICIP), 1751-1755, 2020 | 14 | 2020 |
| Filter pruning and re-initialization via latent space clustering S Lee, B Heo, JW Ha, BC Song IEEE Access 8, 189587-189597, 2020 | 11 | 2020 |
| Contextual gradient scaling for few-shot learning S Lee, S Lee, BC Song Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| Ensemble knowledge guided sub-network search and fine-tuning for filter pruning S Lee, BC Song European Conference on Computer Vision, 569-585, 2022 | 7 | 2022 |
| Fast filter pruning via coarse-to-fine neural architecture search and contrastive knowledge transfer S Lee, BC Song IEEE Transactions on Neural Networks and Learning Systems, 2023 | 5 | 2023 |
| Balanced knowledge distillation for one-stage object detector S Lee, S Lee, BC Song Neurocomputing 500, 394-404, 2022 | 5 | 2022 |
| Interpretable embedding procedure knowledge transfer via stacked principal component analysis and graph neural network S Lee, BC Song Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8297-8305, 2021 | 5 | 2021 |
| Zero-shot knowledge distillation using label-free adversarial perturbation with taylor approximation KI Lee, S Lee, BC Song IEEE Access 9, 45454-45461, 2021 | 5 | 2021 |
| Macro unit-based convolutional neural network for very light-weight deep learning DH Kim, MK Lee, SH Lee, BC Song Image and Vision Computing 87, 68-75, 2019 | 5 | 2019 |
| Knowledge transfer via decomposing essential information in convolutional neural networks S Lee, BC Song IEEE Transactions on Neural Networks and Learning Systems 33 (1), 366-377, 2020 | 4 | 2020 |
| MUNet: macro unit-based convolutional neural network for mobile devices D Ha Kim, S Hyun Lee, B Cheol Song Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 4 | 2018 |
| Eprod: Evolved probabilistic object detector with diverse samples J Choi, S Lee, S Lee, BC Song Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 2 | 2020 |
Byung Cheol Song (송병철)Professor, Dept. of Electronic Engineering, Inha UniversityVerified email at inha.ac.kr
