| Faster segment anything: Towards lightweight sam for mobile applications C Zhang, D Han, Y Qiao, JU Kim, SH Bae, S Lee, CS Hong arXiv preprint arXiv:2306.14289, 2023 | 337 | 2023 |
| One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ... arXiv preprint arXiv:2304.06488, 2023 | 172 | 2023 |
| Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary HJ Lee, JU Kim, S Lee, HG Kim, YM Ro Computer Vision and Pattern Recognition (CVPR), 2020, 2020 | 154 | 2020 |
| Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection JU Kim, S Park, YM Ro IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 | 93 | 2021 |
| Attentive layer separation for object classification and object localization in object detection JU Kim, YM Ro IEEE International Conference on Image Processing (ICIP), 2019, 2019 | 72 | 2019 |
| Iterative deep convolutional encoder-decoder network for medical image segmentation JU Kim, HG Kim, YM Ro IEEE Engineering in Medicine and Biology Society (EMBC), 2017, 2017 | 50 | 2017 |
| Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning JU Kim, S Park, YM Ro International Conference on Computer Vision (ICCV), 2021, 2021 | 48 | 2021 |
| Bbc net: Bounding-box critic network for occlusion-robust object detection JU Kim, J Kwon, HG Kim, YM Ro IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 | 41 | 2019 |
| Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning JY Moon, KH Park, JU Kim, GM Park International Conference on Computer Vision (ICCV), 2023, 2023 | 26 | 2023 |
| Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory JU Kim, S Park, YM Ro Association for the Advancement of Artificial Intelligence (AAAI), 2022, 2022 | 26 | 2022 |
| Investigating vulnerability to adversarial examples on multimodal data fusion in deep learning Y Yu, HJ Lee, BC Kim, JU Kim, YM Ro arXiv preprint arXiv:2005.10987, 2020 | 25 | 2020 |
| Object bounding box-critic networks for occlusion-robust object detection in road scene JU Kim, J Kwon, HG Kim, H Lee, YM Ro IEEE International Conference on Image Processing (ICIP), 2018, 2018 | 24 | 2018 |
| Fake Video Detection With Certainty-Based Attention Network DH Choi, HJ Lee, S Lee, JU Kim, YM Ro IEEE International Conference on Image Processing (ICIP), 2020, 2020 | 19 | 2020 |
| CUA loss: Class uncertainty-aware gradient modulation for robust object detection JU Kim, ST Kim, HJ Lee, S Lee, YM Ro IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020 | 18 | 2020 |
| Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection JU Kim, HI Kim, YM Ro IEEE Transactions on Image Processing (TIP), 2023 | 12 | 2023 |
| Robust thermal infrared pedestrian detection by associating visible pedestrian knowledge S Park, DH Choi, JU Kim, YM Ro IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2022, 2022 | 10 | 2022 |
| Towards Human-Like Interpretable Object Detection Via Spatial Relation Encoding JU Kim, S Park, YM Ro IEEE International Conference on Image Processing (ICIP), 2020, 2020 | 10 | 2020 |
| Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation JU Kim, ST Kim, ES Kim, SK Moon, YM Ro IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2020, 2020 | 10 | 2020 |
| SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding S Lee, JU Kim, HG Kim, S Kim, YM Ro European Conference on Computer Vision (ECCV), 2020, 2020 | 8 | 2020 |
| Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation Y Yu, HJ Lee, BC Kim, JU Kim, YM Ro IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), 2021, 0 | 8* | |
Yong Man RoProfessor of Electrical Engineering, KAIST, ICT Endowed Chair ProfessorDirección de correo verificada de kaist.ac.kr
