| A RUGD Dataset for Autonomous Navigation and Visual Perception in Unstructured Outdoor Environments M Wigness, S Eum, JG Rogers, D Han, H Kwon International Conference on Intelligent Robots and Systems (IROS), 5000-5007, 2019 | 197 | 2019 |
| Face liveness detection based on texture and frequency analyses G Kim, S Eum, JK Suhr, DI Kim, KR Park, J Kim 2012 5th IAPR international conference on biometrics (ICB), 67-72, 2012 | 161 | 2012 |
| ME R-CNN: Multi-expert R-CNN for Object Detection H Lee, S Eum, H Kwon IEEE Transactions on Image Processing (IEEE TIP), 2020 | 111* | 2020 |
| Enhancing light blob detection for intelligent headlight control using lane detection S Eum, HG Jung IEEE transactions on intelligent transportation systems 14 (2), 1003-1011, 2013 | 71 | 2013 |
| Cross-domain CNN for hyperspectral image classification H Lee, S Eum, H Kwon IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 29 | 2018 |
| Recognizability assessment of facial images for automated teller machine applications JK Suhr, S Eum, HG Jung, G Li, G Kim, J Kim Pattern Recognition 45 (5), 1899-1914, 2012 | 26 | 2012 |
| Face recognizability evaluation for ATM applications with exceptional occlusion handling S Eum, JK Suhr, J Kim CVPR 2011 Workshops, 82-89, 2011 | 25 | 2011 |
| Exploring cross-domain pretrained model for hyperspectral image classification H Lee, S Eum, H Kwon IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022 | 23 | 2022 |
| Is pretraining necessary for hyperspectral image classification? H Lee, S Eum, H Kwon IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 18 | 2019 |
| IOD-CNN: Integrating object detection networks for event recognition S Eum, H Lee, H Kwon, D Doermann 2017 IEEE International Conference on Image Processing (ICIP), 875-879, 2017 | 16 | 2017 |
| Exploitation of semantic keywords for malicious event classification H Lee, S Eum, J Levis, H Kwon, J Michaelis, M Kolodny 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 10* | 2018 |
| Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification H Lee, S Eum, H Kwon European Conference on Computer Vision (ECCV) 2022, 2022 | 9 | 2022 |
| Object and text-guided semantics for CNN-based activity recognition S Eum, C Reale, H Kwon, C Bonial, C Voss ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| Page-to-word extraction from unconstrained handwritten document images PK Singh, SP Chowdhury, S Sinha, S Eum, R Sarkar Proceedings of the first international conference on intelligent computing …, 2017 | 8 | 2017 |
| DOD-CNN: Doubly-injecting object information for event recognition H Lee, S Eum, H Kwon ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| Going deeper with CNN in malicious crowd event classification S Eum, H Lee, H Kwon Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII …, 2018 | 7 | 2018 |
| S-DOD-CNN: Doubly injecting spatially-preserved object information for event recognition H Lee, S Eum, H Kwon ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Apparatus and method for image mosiacking under low-light conditions J Kumar, S Eum, R Bala US Patent 9,392,185, 2016 | 5 | 2016 |
| SEE&TELL: Controllable Narrative Generation from Images SM Lukin, S Eum AAAI 2023 Creative AI Across Modalities, 2023 | 4 | 2023 |
| Ma3: Model-accuracy aware anytime planning with simulation verification for navigating complex terrains MP Das, DM Conover, S Eum, H Kwon, M Likhachev Proceedings of the International Symposium on Combinatorial Search 15 (1), 65-73, 2022 | 4 | 2022 |
Heesung KwonSenior Researcher, U.S. Army Research LaboratoryVerified email at mail.mil
