Education

2006 KAIST (Ph.D. – Electrical Engineering and Computer Science)
2000 KAIST (M.S. – Electrical Engineering and Computer Science)
1998 KAIST (B.S. – Electrical Engineering and Computer Science)

Work experience

2024 – present   KAIST – Professor
2018 – 2023        KAIST – Associate Professor
2014 – 2018        GIST – Associate Professor
2008 – 2014        GIST – Assistant Professor
2013 – 2014        KIST – Visiting Scholar
2006 – 2008        INRIA Rhone-Alpes, France – Post-Doctoral Fellow
2006 – 2006        KAIST – Post-Doctoral Researcher

Recent Selected Publications 

• Deep Learning for HDR Imaging: State-of-the-Art and Future Trends
• Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks
• Joint Framework for Single Image Reconstruction and Super-Resolution with an Event Camera
• Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation
• PSAT-GAN: Efficient Adversarial Attacks against Holistic Scene Understanding
• Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds
• Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation
• Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
• Semi-supervised Student-Teacher Learning for Single Image Super-Resolution
• Improvement of Optical Flow Estimation by Using the Hampel Filter for Low-End Embedded Systems
• E2SRI: Learning to Super-Resolve IntensityImages from Events
• Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud
• EOMVS : Event-based Omnidirectional Multi-View Stereo
• Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks
• Adversarially trained Hierarchical Feature Extractor for Vehicle Re-identification
• Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
• Towards Domain Invariant Single Image Dehazing
• Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction

• Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets
• Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency
• SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation
• Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon, “EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
• S. Mohammad Mostafavi I., Jonghyun Choi, and Kuk-Jin Yoon, “Learning to Super Resolve Intensity Images from Events”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
• Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim, “Dynamic Anchor Selection for Improving Object Localization”, International Conference on Robotics and Automation (ICRA), 2020

• Lin Wang, Wonjune Cho, and Kuk-Jin Yoon, “Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations”, IEEE Robotics and Automation Letters (RA-L) (also ICRA 2020), 2019
• Ju-Hong Yoon, Min-Gyu Park, Youngbae Hwang, and Kuk-Jin Yoon, “Learning Depth from Endoscopic Images”, 3D Vision (3DV), 2019
• Jeong-Kyun Lee and Kuk-Jin Yoon, “Joint Estimation of Camera Orientation and Vanishing Points from an Image Sequence in a Non-Manhattan World”, International Journal of Computer Vision (IJCV), vol. 127, pp. 1426-1442, 2019
• Yeong-Jun Cho, Kuk-Jin Yoon, “Distance-based Camera Network Topology Inference for Person Re-identification”, Pattern Recognition Letters, vol. 125, pp. 220-227, 2019
• S. Mohammad Mostafavi I., Lin Wang , Yo-Sung Ho, Kuk-Jin Yoon, “Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks”, Computer Vision and Pattern Recognition(CVPR), 2019
• Chang-Ryeol Lee, Kuk-Jin Yoon, “Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles”, IET Intelligent Transport Systems, vol. 13, Issue: 7, pp. 1130-1138, 2019
• Yeon-Kun Lee, Jae-Seok Jeong, Won-June Cho, Jong-Seob Yun, Kuk-Jin Yoon, “SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360◦ Images”, Computer Vision and Pattern Recognition(CVPR), 2019
• Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee and Kuk-Jin Yoon “Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras”, Computer Vision and Image Understanding (CVIU), vol.180, pp. 34-46, 2019

• Seung-Hwan Bae, and Kuk-Jin Yoon, “Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 3, pp. 595-610, 2018
• Han-Mu Park and Kuk-Jin Yoon, “Multi-attributed Graph Matching with Multi-layer Graph Structure and Multi-layer Random Walks,” IEEE Transactions on Image Processing (TIP), vol. 27, no. 5, pp. 2314-2325, 2018.
• Han-Mu Park, Dae-Yong Cho, and Kuk-Jin Yoon, “Greedy Refinement of Object Proposals via Boundary-aligned Minimum Bounding Box Search,” IET Computer Vision, vol. 12, no. 3, pp. 357-363, 2018.
• Young-Chul Yoon and Kuk-Jin Yoon, “Animal Detection in Huge Air-view Images using CNN-based Sliding Window,” International Workshop on Frontiers of Computer Vision (IW-FCV), Hakodate, Japan, 2018.
• Jeong-Kyun Lee and Kuk-Jin Yoon, “Temporally Consistent Road Surface Profile Estimation Using Stereo Vision,” IEEE Transactions on Intelligent Transportation Systems (T-ITS), accepted, 2018.
• Yeong-Jun Cho and Kuk-Jin Yoon, “PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification,” IEEE Transactions on Image Processing (TIP), accepted, 2018.
• Min-Gyu Park and Kuk-Jin Yoon, “Learning and Selecting Confidence Measures for Robust Stereo Matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted, 2018
• Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon, “Structural Constraint Data Association for Online Multi-Object Tracking,” International Journal of Computer Vision (IJCV), 2018
• Chang-Ryeol Lee, Ju Hong Yoon, and Kuk-Jin Yoon, “Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost Inertial Measurement Unit,” Sensors, 2018
• Han-Mu Park and Kuk-Jin Yoon, “Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization,” Pattern Recognition Letters, 2018
• Han-Mu Park and Kuk-Jin Yoon, “Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching,” Pattern Recognition Letters, 2018
• Jeong-Yun Na and Kuk-Jin Yoon, “Stereo Vision aided Image Dehazing using Deep Neural Network”, The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

– 다이내믹 비전 센서 기반 스테레오 정합 알고리즘 연구
– Visual Attention Estimation for VR
– 실내 주행 로봇을 위한 고정밀 스테레오 거리 추출 기술 개발(2018)
– 이벤트 카메라 기반 시각 지능을 위한 컴퓨터 비전 알고리즘 연구(2018)
– 도심의 혼잡한 환경에서의 자율 주행을 위한 전방향 비전 기반 지능형 상황 인식 기술
– 스마트 선박 차별화 기술 적용 타당성 검토 연구(2018)
– 도심의 혼잡한 환경에서의 자율 주행을 위한 전방향 비전 기반 지능형 상황 인식 기술(2단계 1/2)
– 예지형 시각 지능을 위한 딥 러닝 기반 원천 기술 개발(2018)
– 멀티모달인식 기반으로 일상생활환경의 다양한 물체를 파지 조작하고 도구 활용 작업이 가능한 로봇 작업 제어 기술 개발(2018)
– 초실감 서비스를 위한 동적 객체의 실시간 4D 복원 기술 개발
– 비전 모델 기반 공간 상황 인지 원천기술 연구