Jung Uk Kim
Jung Uk Kim
Assistant Professor at Kyung Hee University (Computer Science and Engineering)
Visual Artificial Intelligence Lab (https://visualai.khu.ac.kr)
E-mail: ju.kim [at] khu.ac.kr
[CV] [Google Scholar]
Embedded Files
Hello! I am currently an Assistant Professor of Computer Science and Engineering at Kyung Hee University.
I graduated Ph. D. in Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST) under the supervision of Prof. Yong Man Ro. My research interests include machine learning and computer vision. In particular, my research topics include object detection in challenging environments (e.g., small-scale, occlusion, weather, etc.), pedestrian detection, and multimodal (multispectral) object detection. Also, I am interested in semantic segmentation and object tracking.
Education
Education
Ph.D. KAIST (Mar. 2018 - Aug. 2022)
M.S. KAIST (Mar. 2016 - Feb. 2018)
B.S. Ajou University (Mar. 2012 - Feb. 2016) (Summa Cum Laude)
Research Interests
Research Interests
Computer Vision
Machine Learning (Unsupervised Learning, Self-supervised Learning)
Visual Recognition - 2D/3D/Video Object Detection, Segmentation
Multi-modal AI - Audio-Visual Model, Multispectral (RGB/IR) Model
Probabilistic AI - Bayesian Modeling, Uncertainty
Domain Adaptation
Generative Adversarial Network (GAN)
But not limited to
News
News
[Jan. 2022] One paper is accepted in ICASSP 2022
[Dec. 2021] One paper is accepted in AAAI 2022 Oral Presentation
2021: ICCV (1 paper), IEEE TCSVT (1 paper), ICASSP (1 paper) are accepted
2020: CVPR (1 paper), ECCV (1 paper), IEEE TCSVT (1 paper), ICASSP (1 paper), ICIP (6 papers) are accepted
2019: IEEE TCSVT (1 paper), ICIP (1 paper) are accepted
Publications (Selected)
Publications (Selected)
2022
2022
Uncertainty-Guided Cross-Modal Learning for Robust Multispectral Pedestrian Detection
Robust Thermal Infrared Pedestrian Detection by Associating Visible Pedestrian Knowledge
Towards Versatile Pedestrian Detector with Multisensory-Matching and Multispectral Recalling Memory
2021
2021
Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning
CUA Loss: Class Uncertainty-Aware Gradient Modulation for Robust Object Detection
Towards Robust Training of Multi-Sensor Data Fusion Network Against Adversarial Examples in Semantic Segmentation
2020
2020
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding
Structure Boundary Preserving Segmentation for Medical Image with Ambiguous Boundary
BBC Net: Bounding-Box Critic Network for Occlusion-Robust Object Detection
Towards High-Performance Object Detection: Task-Specific Design Considering Classification and Localization Separation
Towards Human-Like Interpretable Object Detection via Spatial Relation Encoding
Class Incremental Learning with Task-Selection
Comprehensive Facial Expression Synthesis using Human-Interpretable Language
Fake Video Detection With Certainty-Based Attention Network
2019
2019
Attentive Layer Separation for Object Classification and Object Localization in Object Detection
2018
2018
Object Bounding-Box-Critic Networks for Occlusion Robust Object Detection in Road Scene
2017
2017
Robust and Real-Time Visual Tracking with Triplet Convolutional Neural Network
Iterative Deep Convolutional Encoder-Decoder Network for Medical Image Segmentation
Object Tracking based on Weight Sharing CNN Structure According to Search Area Setting Method Considering Object Movement
Awards & Honors
Awards & Honors
Certificate of Appointment of Korean Intellectual Property Office Advisor
Best Paper Award
- Korea Signal Processing Conference, 2019
- Korea Multimedia Society, 2017
Scholarships
- AAAI-22 Student Scholar Program (from IBM)
- Korean Government Scholarships, KAIST (2016-2018)
Experiences
Experiences
Korean Intellectual Property Office Advisor (Apr. 2019 - Present)
[Teaching Assistant]
Digital Video Processing (2017, Fall): KAIST
Introduction to Multimedia (2017, Spring): KAIST
Academic Activities
Academic Activities
[Reviews]
International Conference on Computer Vision (ICCV) 2021
Conference on Computer Vision and Pattern Recognition (CVPR) 2021, 2022
European Conference on Computer Vision (ECCV) 2022
ACM Multimedia (ACM MM) 2018 Workshop
Reviewer for Peer-Review Journals
IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Signal Processing Letters (SPL)
IEEE Robotics and Automation Letters (RA-L)
International Journal of Remote Sensing (IJRS)
[Talks]
Deep Learning Technology in Audio and Image
The Present and Future of Deep Learning
[Organization]
Organizing Chair at Workshop for Center for Applied Research in Artificial Intelligence (CARAI) 2021
Page updated
Google Sites
Report abuse