| A gift from knowledge distillation: Fast optimization, network minimization and transfer learning J Yim, D Joo, J Bae, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1899 | 2017 |
| Joint fine-tuning in deep neural networks for facial expression recognition H Jung, S Lee, J Yim, S Park, J Kim Proceedings of the IEEE international conference on computer vision, 2983-2991, 2015 | 957 | 2015 |
| Rotating your face using multi-task deep neural network J Yim, H Jung, BI Yoo, C Choi, D Park, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 374 | 2015 |
| Nlnl: Negative learning for noisy labels Y Kim, J Yim, J Yun, J Kim Proceedings of the IEEE/CVF international conference on computer vision, 101-110, 2019 | 353 | 2019 |
| Confidence score for source-free unsupervised domain adaptation J Lee, D Jung, J Yim, S Yoon International conference on machine learning, 12365-12377, 2022 | 99 | 2022 |
| Image classification using convolutional neural networks with multi-stage feature J Yim, J Ju, H Jung, J Kim Robot Intelligence Technology and Applications 3: Results from the 3rd …, 2015 | 97 | 2015 |
| Densely distilled flow-based knowledge transfer in teacher-student framework for image classification JH Bae, D Yeo, J Yim, NS Kim, CS Pyo, J Kim IEEE Transactions on Image Processing 29, 5698-5710, 2020 | 29 | 2020 |
| Device and method to generate image using image learning model B Yoo, JH Yim, JM Kim, HC Jung, CK Choi, HAN JaeJoon US Patent 10,360,467, 2019 | 29 | 2019 |
| Highway driving dataset for semantic video segmentation B Kim, J Yim, J Kim arXiv preprint arXiv:2011.00674, 2020 | 25 | 2020 |
| Mutual Learning for Long-Tailed Recognition C Park, J Yim, E Jun Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 11 | 2023 |
| Hyperparameter optimization with neural network pruning K Lee, J Yim arXiv preprint arXiv:2205.08695, 2022 | 7 | 2022 |
| Layer‐wise hint‐based training for knowledge transfer in a teacher‐student framework JH Bae, J Yim, NS Kim, CS Pyo, J Kim ETRI Journal 41 (2), 242-253, 2019 | 7 | 2019 |
| Device and method to generate image using image learning model B Yoo, JH Yim, JM Kim, HC Jung, CK Choi, HAN JaeJoon US Patent 11,093,780, 2021 | 5 | 2021 |
| Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information D Yeo, JR Bae, NS Kim, CS Pyo, J Yim, J Kim 2018 25th IEEE International Conference on Image Processing (ICIP), 674-678, 2018 | 4 | 2018 |
| Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling. D Joo, J Yim, J Kim BMVC, 45, 2018 | 2 | 2018 |
| Performance analysis of hint-kd training approach for the teacher-student framework using deep residual networks JH Bae, J Yim, J Yu, K Kim, J Kim Journal of The Institute of Electronics and Information Engineers 54 (5), 35-41, 2017 | 2 | 2017 |
| Confidence score weighting adaptation for source-free unsupervised domain adaptation J Lee, D Jung, J Yim, S Yoon | 1 | 2021 |
| Teacher− student framework‐based knowledge transfer with incremental block‐wise retraining JH Bae, J Yim, J Kim Electronics Letters 55 (20), 1090-1093, 2019 | 1 | 2019 |
| Deep learning methods and architectures using multi-task learning J Yim 한국과학기술원, 2019 | | 2019 |
| An Exploration of the Power of Max Switch Locations in CNNs J Ju, J Yim, S Lee, J Kim Robot Intelligence Technology and Applications 5: Results from the 5th …, 2019 | | 2019 |
Junmo KimSchool of Electrical Engineering, KAISTΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kaist.ac.kr
