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Jung Uk Kim
Jung Uk Kim
Assistant Professor of Computer Science, Kyung Hee University
Verified email at khu.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
1142020
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
1122023
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
1112023
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
682021
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
602019
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
482017
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
402019
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
372021
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
242018
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
212020
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
162022
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
132020
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
122020
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
102020
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
92020
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
82022
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
62023
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
62020
Revisiting Role of Autoencoders in Adversarial Settings
BC Kim, JU Kim, H Lee, YM Ro
IEEE International Conference on Image Processing (ICIP), 2020, 2020
62020
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
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Articles 1–20