Joint patch clustering-based dictionary learning for multimodal image fusion M Kim, DK Han, H Ko Information fusion 27, 198-214, 2016 | 218 | 2016 |
Generative Adversarial Network Based Acoustic Scene Training Set Augmentation and Selection Using SVM Hyper-Plane. S Mun, S Park, DK Han, H Ko DCASE, 93-102, 2017 | 198 | 2017 |
A rugd dataset for autonomous navigation and visual perception in unstructured outdoor environments M Wigness, S Eum, JG Rogers, D Han, H Kwon 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 177 | 2019 |
On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward HS Choi, C Crump, C Duriez, A Elmquist, G Hager, D Han, F Hearl, ... Proceedings of the National Academy of Sciences 118 (1), e1907856118, 2021 | 175 | 2021 |
Single image dehazing with image entropy and information fidelity D Park, H Park, DK Han, H Ko 2014 IEEE International Conference on Image Processing (ICIP), 4037-4041, 2014 | 101 | 2014 |
Trseg: Transformer for semantic segmentation Y Jin, D Han, H Ko Pattern Recognition Letters 148, 29-35, 2021 | 81 | 2021 |
Fusion of heterogeneous adversarial networks for single image dehazing J Park, DK Han, H Ko IEEE Transactions on Image Processing 29, 4721-4732, 2020 | 77 | 2020 |
Gesture recognition using depth-based hand tracking for contactless controller application C Yang, Y Jang, J Beh, D Han, H Ko 2012 IEEE International Conference on Consumer Electronics (ICCE), 297-298, 2012 | 76 | 2012 |
Deep neural network based learning and transferring mid-level audio features for acoustic scene classification S Mun, S Shon, W Kim, DK Han, H Ko 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 74 | 2017 |
A shape decomposition technique in electrical impedance tomography DK Han, A Prosperetti Journal of computational physics 155 (1), 75-95, 1999 | 73 | 1999 |
Learning object placement by inpainting for compositional data augmentation L Zhang, T Wen, J Min, J Wang, D Han, J Shi Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 64 | 2020 |
Multimodal emotion recognition fusion analysis adapting BERT with heterogeneous feature unification S Lee, DK Han, H Ko IEEE access 9, 94557-94572, 2021 | 61 | 2021 |
Unsupervised real-world super resolution with cycle generative adversarial network and domain discriminator G Kim, J Park, K Lee, J Lee, J Min, B Lee, DK Han, H Ko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
A novel approach for denoising and enhancement of extremely low-light video M Kim, D Park, DK Han, H Ko IEEE Transactions on Consumer Electronics 61 (1), 72-80, 2015 | 58 | 2015 |
Specmix: A mixed sample data augmentation method for training withtime-frequency domain features G Kim, DK Han, H Ko arXiv preprint arXiv:2108.03020, 2021 | 57 | 2021 |
Continuous hand gesture recognition based on trajectory shape information C Yang, DK Han, H Ko Pattern Recognition Letters 99, 39-47, 2017 | 50 | 2017 |
Hidden Markov model on a unit hypersphere space for gesture trajectory recognition J Beh, DK Han, R Durasiwami, H Ko Pattern Recognition Letters 36, 144-153, 2014 | 49 | 2014 |
Single image haze removal with WLS-based edge-preserving smoothing filter D Park, DK Han, H Ko 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 48 | 2013 |
Rule-based trajectory segmentation for modeling hand motion trajectory J Beh, D Han, H Ko Pattern Recognition 47 (4), 1586-1601, 2014 | 42 | 2014 |
Adaptive weighted multi-discriminator CycleGAN for underwater image enhancement J Park, DK Han, H Ko Journal of Marine Science and Engineering 7 (7), 200, 2019 | 41 | 2019 |