| 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 | 198 | 2018 |
| Multi-modal emotion recognition using semi-supervised learning and multiple neural networks in the wild DH Kim, MK Lee, DY Choi, BC Song Proceedings of the 19th ACM International Conference on Multimodal …, 2017 | 59 | 2017 |
| Visual scene-aware hybrid neural network architecture for video-based facial expression recognition MK Lee, DY Choi, DH Kim, BC Song 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 41 | 2019 |
| Contrastive adversarial learning for personindependent facial emotion recognition DH Kim, BC Song Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 5948-5956, 2021 | 39 | 2021 |
| 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 | 36 | 2020 |
| Recognizing fine facial micro-expressions using two-dimensional landmark feature DY Choi, DH Kim, BC Song 2018 25th IEEE International Conference on Image Processing (ICIP), 1962-1966, 2018 | 27 | 2018 |
| 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 | 26 | 2018 |
| Metric-based attention feature learning for video action recognition DH Kim, F Anvarov, JM Lee, BC Song IEEE access 9, 39218-39228, 2021 | 17 | 2021 |
| Optimal transport-based identity matching for identity-invariant facial expression recognition D Kim, BC Song Advances in neural information processing systems 35, 18749-18762, 2022 | 16 | 2022 |
| Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition D Kim, BC Song European Conference on Computer Vision, 178-195, 2022 | 15 | 2022 |
| Virtual sample-based deep metric learning using discriminant analysis DH Kim, BC Song Pattern Recognition 110, 107643, 2021 | 15 | 2021 |
| Hidden emotion detection using multi-modal signals BC Song, DH Kim Extended abstracts of the 2021 CHI conference on human factors in computing …, 2021 | 14 | 2021 |
| Action recognition using deep 3D CNNs with sequential feature aggregation and attention F Anvarov, DH Kim, BC Song Electronics 9 (1), 147, 2020 | 14 | 2020 |
| Synthesized rain images for deraining algorithms J Choi, DH Kim, S Lee, SH Lee, BC Song Neurocomputing 492, 421-439, 2022 | 10 | 2022 |
| Towards the adversarial robustness of facial expression recognition: Facial attention-aware adversarial training D Kim, H Kim, Y Jung, S Kim, BC Song Neurocomputing 584, 127588, 2024 | 5 | 2024 |
| Style-Guided and Disentangled Representation for Robust Image-to-Image Translation J Choi, D Kim, BC Song Proceedings of the AAAI Conference on Artificial Intelligence, 2022 | 4 | 2022 |
| Deep transfer learning for emotion recognition networks MK Lee, DH Kim, DY Choi, BC Song 2018 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia …, 2018 | 4 | 2018 |
| 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 |
| Beyond superficial emotion recognition: Modality-adaptive emotion recognition system D Kang, D Kim, D Kang, T Kim, B Lee, D Kim, BC Song Expert Systems with Applications 235, 121097, 2024 | 3 | 2024 |
| Deep metric learning with manifold class variability analysis DH Kim, BC Song IEEE Transactions on Multimedia 24, 3533-3544, 2021 | 3 | 2021 |
Byung Cheol Song (송병철)Professor, Dept. of Electronic Engineering, Inha Universityinha.ac.kr의 이메일 확인됨
