| Joint patch clustering-based dictionary learning for multimodal image fusion M Kim, DK Han, H Ko Information fusion 27, 198-214, 2016 | 203 | 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 | 191 | 2017 |
| 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 | 129 | 2021 |
| 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 | 126 | 2019 |
| 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 | 91 | 2014 |
| 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 | 74 | 2012 |
| A shape decomposition technique in electrical impedance tomography DK Han, A Prosperetti Journal of computational physics 155 (1), 75-95, 1999 | 72 | 1999 |
| 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 | 70 | 2017 |
| Fusion of heterogeneous adversarial networks for single image dehazing J Park, DK Han, H Ko IEEE Transactions on Image Processing 29, 4721-4732, 2020 | 68 | 2020 |
| Trseg: Transformer for semantic segmentation Y Jin, D Han, H Ko Pattern Recognition Letters 148, 29-35, 2021 | 63 | 2021 |
| 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 | 53 | 2015 |
| 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 | 51 | 2020 |
| 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 | 51 | 2020 |
| Continuous hand gesture recognition based on trajectory shape information C Yang, DK Han, H Ko Pattern Recognition Letters 99, 39-47, 2017 | 48 | 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 | 47 | 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 | 47 | 2013 |
| Acoustic and visual signal based context awareness system for mobile application WH Choi, SI Kim, MS Keum, DK Han, H Ko IEEE Transactions on Consumer Electronics 57 (2), 738-746, 2011 | 40 | 2011 |
| License plate detection using local structure patterns Y Lee, T Song, B Ku, S Jeon, DK Han, H Ko 2010 7th IEEE International Conference on Advanced Video and Signal Based …, 2010 | 40 | 2010 |
| Online multi‐person tracking with two‐stage data association and online appearance model learning J Ju, D Kim, B Ku, DK Han, H Ko IET Computer Vision 11 (1), 87-95, 2017 | 39 | 2017 |
| Rule-based trajectory segmentation for modeling hand motion trajectory J Beh, D Han, H Ko Pattern Recognition 47 (4), 1586-1601, 2014 | 39 | 2014 |
Jounghoon BehPost-doctoral scientist, Univ. of Maryland, College ParkVerified email at umiacs.umd.edu
