| Less-forgetting Learning in Deep Neural Networks H Jung, J Ju, M Jung, J Kim http://arxiv.org/, 2016 | 262 | 2016 |
| Image Classification Using Convolutional Neural Networks With Multi-stage Feature J Yim, J Ju, H Jung, J Kim Robot Intelligence Technology and Applications, 587-594, 2015 | 93 | 2015 |
| Less-forgetful learning for domain expansion in deep neural networks H Jung, J Ju, M Jung, J Kim Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 90 | 2018 |
| Rigid motion segmentation using randomized voting H Jung, J Ju, J Kim IEEE Conference on Computer Vision and Pattern Recognition, 1210-1217, 2014 | 48 | 2014 |
| Extending contrastive learning to unsupervised coreset selection J Ju, H Jung, Y Oh, J Kim IEEE Access 10, 7704-7715, 2022 | 13 | 2022 |
| Efficient and fast multi-view face detection based on feature transformation D Han, J Kim, J Ju, I Lee, J Cha, J Kim International Conference on Advanced Communication Technology, 682-686, 2014 | 8 | 2014 |
| Semantic segmentation dataset for AI-based quantification of clean mucosa in capsule endoscopy JW Ju, H Jung, YJ Lee, SW Mun, JH Lee Medicina 58 (3), 397, 2022 | 7 | 2022 |
| Cost-efficient 3D Face Reconstruction from a Single 2D Image J Yun, J Lee, D Han, J Ju, J Kim International Conference on Advanced Communications Technology, 2017 | 6 | 2017 |
| Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy J Ju, HS Oh, YJ Lee, H Jung, JH Lee, B Kang, S Choi, JH Kim, KO Kim, ... Medicine 102 (6), e32883, 2023 | 5 | 2023 |
| Refining background subtraction using consistent motion detection in adverse weather H Jung, J Ju, W Hwang, J Kim Journal of Electronic Imaging 28 (2), 020501-020501, 2019 | 5 | 2019 |
| Randomized voting-based rigid-body motion segmentation H Jung, J Ju, J Kim IEEE Transactions on Circuits and Systems for Video Technology 29 (3), 698-713, 2018 | 4 | 2018 |
| A new control owner switching system for multiple TV viewers via face recognition J Ju, D Han, J Kim, I Lee, J Cha, J Kim IEEE International Conference on Consumer Electronics, 323-326, 2015 | 4 | 2015 |
| Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints J Ahn, J Hong, J Ju, H Jung arXiv preprint arXiv:2111.10017, 2021 | 2 | 2021 |
| Training data reduction for deep learning-based image classifications using random sample consensus H Jung, J Ju Journal of Electronic Imaging 31 (1), 010501-010501, 2022 | 1 | 2022 |
| Local Binary Pattern을 이용한 화자종속 영상음성인식 주정우， 김준모 제25회 영상처리및 이해에 관한 워크샵, 2013 | 1 | 2013 |
| Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment J Ju, H Jung, J Kim Robot Intelligence Technology and Applications, 1015-1022, 2013 | 1 | 2013 |
| Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models H Lee, J Ju, J Lee, YJ Lee, H Jung arXiv preprint arXiv:2311.05889, 2023 | | 2023 |
| Redesigning Embedding Layers for Queries, Keys, and Values in Cross-Covariance Image Transformers J Ahn, J Hong, J Ju, H Jung Mathematics 11 (8), 1933, 2023 | | 2023 |
| ESTABLISHING SEMANTIC SEGMENTATION DATASET FOR AI-BASED QUANTIFICATION OF CLEAN MUCOSA IN CAPSULE ENDOSCOPY J Ju, YJ Lee, H Jung, J Lee Gastrointestinal Endoscopy 95 (6), AB247, 2022 | | 2022 |
| Extending Contrastive Learning to Unsupervised Redundancy Identification J Ju, H Jung, J Kim Applied Sciences 12 (4), 2201, 2022 | | 2022 |
Heechul JungAssociate Professor, KNU在 knu.ac.kr 的电子邮件经过验证
