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Kuk-Jin YOON (K.-J. YOON) (cv)
Associate Professor (with tenure)
Department of Mechanical Engineering,
KAIST, Republic of Korea
(Also affiliated with
- KAIST Robotics Program (head professor)
- Kim Jaechul Graduate School of AI, KAIST
- Cho Chun Shik Graduate School of Mobility, KAIST
- KAIST Institute for Robotics, KAIST
- Division of Future Vehicle, KAIST
- Center for SC-Strategic Studies, KAIST
email: kjyoon_at_kaist.ac.kr or kjyoon_at_gmail.com
office: +82-42-350-7319
Recent News
- (07/2023) 4 papers accepted to ICCV 2023
- (04/2023) I have been appointed as an Associate Editor for IEEE TPAMI.
- (03/2023) I have been appointed as an Associate Editor for CVIU.
- (02/2023) I will serve as a head professor of the KAIST Robotics Program.
- (02/2023) 6 papers accepted to IEEE/CVF CVPR 2023
- (01/2023) 1 paper accepted to ICLR 2023
- (01/2023) 1 paper accepted to Light: Science & Applications
- (01/2023) 1 paper accepted to ACS Nano
- (11/2022) 1 paper accepted to AAAI 2023
- (11/2022) I will serve as an Area Chair for ICCV 2023.
- (10/2022) 1 paper accepted to WACV 2023
- (09/2022) 1 paper accepted to NeurIPS 2022
- (09/2022) 1 paper accepted to Advanced Science
- (07/2022) 5 papers accepted to ECCV 2022
- (06/2022) 1 paper accepted to IROS 2022
- (04/2022) 1 paper accepted to IV 2022
- (03/2022) 5 papers accepted to CVPR 2022
- (01/2022) 1 paper accepted to ACS Sensors
- (12/2021) 1 paper accepted to AAAI 2022
- (10/2021) 1 paper accepted to IEEE TPAMI
- (09/2021) 1 paper accepted to IEEE TPAMI
- (08/2021) I will serve as an Area Chair for WACV 2022.
- (08/2021) 1 paper accepted to IEEE TIP
- (07/2021) 1 paper accepted to PR
- (07/2021) 4 papers accepted to IEEE/CVF ICCV 2021
- (07/2021) 1 paper accepted to IEEE TPAMI
- (06/2021) 3 papers accepted to IEEE RA-L / IROS 2021
- (04/2021) 1 paper accepted to IEEE TIP
- (04/2021) I will serve as an area chair for CVPR 2022.
- (02/2021) 1 paper accepted to CVPR 2021
- (02/2021) 1 paper accepted to ICRA 2021
- (01/2021) 1 paper accepted to IEEE TPAMI
- (12/2020) 1 paper accepted to AAAI 2021
- (11/2020) 1 paper accepted to IJCV
- (11/2020) I will serve as an area chair for ICCV 2021.
- (06/2020) 1 paper accepted to IEEE RA-L
- (05/2020) 1 paper accepted to IEEE TPAMI
- (02/2020) 2 papers accepted to CVPR 2020
- (01/2020) 2 papers accepted to ICRA 2020
- (07/2019) 1 paper accepted to 3DV 2019
- (07/2019) 1 paper accepted to IJCV
- (06/2019) I will serve as an area chair for CVPR 2020.
- (04/2019) 1 paper accepted to PRL
- (03/2019) 1 paper accepted to IET ITS
- (02/2019) 2 papers accepted to CVPR 2019
- (01/2019) 2 papers accepted to CVIU
- (11/2018) I will serve as an area chair and student volunteer chair for ICCV 2019.
selected recent publications (more publications - google scholar or visual intelligence lab.)
- Jihun Kim, Hyeokjun Kweon, Yunseo Yang, and Kuk-Jin Yoon,
“Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach,”
IEEE/CVF ICCV, 2023
- Hoonhee Cho, Hyeonseong Kim, Yujeong Chae, and Kuk-Jin Yoon,
“Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events,”
IEEE/CVF ICCV, 2023
- Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, and Kuk-Jin Yoon,
“Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment,”
IEEE/CVF ICCV, 2023
- Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, and Horst Bischof,
“MATE: Masked Autoencoders are Online 3D Test-Time Learners,”
IEEE/CVF ICCV, 2023
- Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, and Kuk-Jin Yoon,
“Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields,”
IEEE/CVF CVPR, 2023 (selected as a highlight paper)
- Hoonhee Cho, Jegyeong Cho, and Kuk-Jin Yoon,
“Learning to Adaptive Dense Event Stereo from Image Domain,”
IEEE/CVF CVPR, 2023
- Hyeokjun Kweon∗, Sung-Hoon Yoon∗, and Kuk-Jin Yoon,
“Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor,”
IEEE/CVF CVPR, 2023
- Youngho Yoon, and Kuk-Jin Yoon,
“Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis,”
IEEE/CVF CVPR, 2023
- Hyeonseong Kim, Yoonsu Kang, Changgyoon Oh, and Kuk-Jin Yoon,
“Single Domain Generalization for LiDAR Semantic Segmentation,”
IEEE/CVF CVPR, 2023
- Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, and Kuk-Jin Yoon,
“TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation,”
IEEE/CVF CVPR, 2023
- Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, and Kuk-Jin Yoon,
“Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction,”
ICLR, 2023
- Hyeokjun Kweon∗, Hyeonseong Kim∗, Yoonsu Kang∗, Youngho Yoon∗, Wooseong Jeong, and Kuk-Jin Yoon,
“Pixel-wise Warping for Deep Image Stitching,”
AAAI, 2023
- Youngrae Kim∗, Jinsu Lim∗, Hoonhee Cho∗, Minji Lee∗, Dongman Lee*, Kuk-Jin Yoon*, and Ho-Jin Choi* (∗: co-corresponding),
“Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need,”
IEEE/CVF WACV, 2023.
- Incheol Cho, Kichul Lee, Young Chul Sim, Jaeseok Jeong, Minkyu Cho, Heechan Jung, Mingu Kang, Yong-Hoon Cho, Seung Chul Ha, and Kuk-Jin Yoon∗, Inkyu Park∗ (∗: co-corresponding),
“Deep Learning-based Gas Identification by Time-variant Illumination of a Single Micro LED- embedded Gas Sensor,”
accepted to Light: Science & Applications (LSA), 2023
- Kichul Lee, Incheol Cho, Mingu Kang, Jaeseok Jeong, Minho Choi, Kie Young Woo, Kuk-Jin Yoon∗, Yong-Hoon Cho∗, and Inkyu Park∗ (∗: co-corresponding),
“Ultra-Low-Power E-Nose System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning,”
ACS Nano, 2023
- Hyeokjun Kweon and Kuk-Jin Yoon,
“Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation,”
NeurIPS, 2022
- Tae-Woo Kim, Jeong-Min Lee, Lin Wang, and Kuk-Jin Yoon,
“Event-guided Deblurring of Unknown Exposure Time Videos,”
ECCV, 2022 (oral)
- Changgyoon Oh*, Wonjune Cho*, Yujeong Chae*, Daehee Park*, Lin Wang, and Kuk-Jin Yoon,
“BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning,”
ECCV, 2022
- Sung-Hoon Yoon*, Hyeokjun Kweon*, Je-Gyeong Cho, Shinjeong Kim, and Kuk-Jin Yoon,
“Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation,”
ECCV, 2022
- Hoonhee Cho and Kuk-Jin Yoon,
“Selection and Cross Similarity for Event-Image Deep Stereo,”
ECCV, 2022
- Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, and Kuk-Jin Yoon,
“Facial Depth and Normal Estimation using Single Duel-Pixel Camera,"
ECCV, 2022
- Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim,
“Multi-source Domain Alignment for Robust Segmentation in Unknown Targets,”
IEEE/RSJ IROS, 2022.
- Youngho Yoon, Inchul Chung, Lin Wang, and Kuk-Jin Yoon,
“SphereSR: 360◦ Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation,”
IEEE/CVF CVPR, 2022 (oral)
- Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, and Kuk-Jin Yoon,
“UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation,”
IEEE/CVF CVPR, 2022
- Inkyu Shin, Yi-Hsuan Tsai, Samuel Schulter, Bingbing Zhuang, Buyu Liu, Sparsh Garg, In So Kweon, and Kuk-Jin Yoon,
“MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation,”
IEEE/CVF CVPR, 2022
- Pranjay Shyam, Kyung-Soo Kim∗, and Kuk-Jin Yoon∗ (∗: co-corresponding author),
“GIQE: Generic Image Quality Enhancement via N-th Order Iterative Degradation,”
IEEE/CVF CVPR, 2022
- YeongWoo Nam, Sayed Mohammad Mostafavi Isfahani, Kuk-Jin Yoon, and Jonghyun Choi,
“Stereo Depth from Events Cameras: Concentrate and Focus on the Future,”
IEEE/CVF CVPR, 2022
- Lin Wang and Kuk-Jin Yoon,
“Deep Learning for HDR Imaging: State-of-the-Art and Future Trends,”
IEEE TPAMI, 2022
- Lin Wang, Tae-Kyun Kim, and Kuk-Jin Yoon,
“Joint Framework for Intensity Image Reconstruc- tion, Restoration, and Super-Resolution with an Event Camera,”
IEEE TPAMI, 2022
- Pranjay Shyam, Sumit Mishra, Kuk-Jin Yoon, and Kyung-Soo Kim,
“Infra Sim-to-Real : An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation,”
IEEE IV, 2022
- Joon-Kyu Han, Mingu Kang, Jaeseok Jeong, Incheol Cho, Ji-Man Yu, Kuk-Jin Yoon, Inkyu Park∗, Yang-Kyu Choi∗ (∗: co-corresponding),
“Artificial Olfactory Neuron for an In-Sensor Neuromorphic Nose,”
Advanced Science, 2022
- Mingu Kang, Incheol Cho, Jaeho Park, Jaeseok Jeong, Kichul Lee, Byeongju Lee, Dionisio Del Orbe Henriquez, Kuk-Jin Yoon∗, Inkyu Park∗ (∗: co-corresponding),
“High Accuracy Real-Time Multi-Gas Identification by a Batch-Uniform Gas Sensor Array and Deep Learning Algorithm,”
ACS Sensors, 2022
- Hoonhee Cho and Kuk-Jin Yoon,
“Event-image Fusion Stereo using Cross-modality Feature Propagation, ”
AAAI, 2022.
- Lin Wang and Kuk-Jin Yoon,
“Semi-supervised Student-Teacher Learning for Single Image Super- Resolution,”
Pattern Recognition (PR), 2021
- Hyeokjun Kweon, Sung-Hoon Yoon, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon,
“Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation,”
IEEE/CVF ICCV, 2021
- Lin Wang, Yujeong Chae, and Kuk-Jin Yoon,
“Dual Transfer Learning for Event-based End-task Prediction via Pluggable Image Translation,”
IEEE/CVF ICCV, 2021
- Mohammad Mostafavi, Kuk-Jin Yoon, and Jonghyun Choi,
“Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds,”
IEEE/CVF ICCV, 2021
- Haoang Li, Kai Chen, Kyungdon Joo, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, and Yunhui Liu,
“Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation,”
IEEE/CVF ICCV, 2021
- Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi, and Kuk-Jin Yoon,
“E2SRI: Learning to Super-Resolve Intensity Images from Events,”
IEEE TPAMI, 2021
- Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, and Kyung-Soo Kim,
“Lightweight HDR Camera ISP for Robust Perception in Dynamic Illumination Conditions via Fourier Adversarial Networks,”
BMVC, 2021
- Kwonyoung Ryu, Kang-il Lee, Jegyeong Cho, and Kuk-Jin Yoon,
“Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud,”
IEEE RA-L / IROS, 2021
- Hoonhee Cho, Jae-Seok Jeong, and Kuk-Jin Yoon,
“EOMVS: Event-based Omnidirectional Multi-View Stereo,”
IEEE RA-L / IROS, 2021
- Ji-il Park, Yeongseok Lee, Eungyo Suh, Hyunyong Jeon, Kuk-Jin Yoon* and Kyung-Soo Kim*,
“Improvement of Optical Flow Estimation by Using the Hampel Filter for Low-End Embedded Systems,”
IEEE RA-L / IROS, 2021
- Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, and Kuk-Jin Yoon,
“EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation,”
CVPR, 2021
- Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim
“Adversarially-trained Hierarchical Feature Extractor for Vehicle Re-identification,”
ICRA, 2021
- Lin Wang and Kuk-Jin Yoon,
“Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks,"
IEEE TPAMI, 2021
- Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim,
“Towards Domain Invariant Single Image Dehazing,"
AAAI, 2021
- S. Mohammad Mostafavi I., Lin Wang, and Kuk-Jin Yoon
“Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow,"
IJCV, 2021
- Taewoo Kim, Kyeongseob Song, Kwonyoung Ryu, and Kuk-Jin Yoon,
“Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency,”
IEEE RA-L, 2020
- Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon,
“SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation,”
IEEE TPAMI, 2020
- S. Mohammad Mostafavi I., Jonghyun Choi, and Kuk-Jin Yoon,
“Learning to Super Resolve Intensity Images from Events,”
CVPR, 2020 (oral paper)
- 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,”
CVPR, 2020
- Lin Wang, Wonjune Cho, and Kuk-Jin Yoon,
“Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations,”
ICRA, 2020 (also published in RA-L)
- Pranjay Shyam, Kuk-Jin Yoon,, and Kyung-Soo Kim,
“Dynamic Anchor Selection for Improving Object Localization,”
ICRA, 2020
- Ju-Hong Yoon, Kuk-Jin Yoon, and Min-Gyu Park,
“Learning Depth from Endoscopic Images,”
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,”
IJCV, 2019
- Min-Gyu Park and Kuk-Jin Yoon,
“Learning and selecting confidence measures for robust stereo matching,”
IEEE TPAMI, 2019
- Yeon Kun Lee*, Jaeseok Jeong*, Jong Seob Yun*, Won June Cho*, and Kuk-Jin Yoon (*: equal contribution),
“SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 Images,”
CVPR, 2019
- Lin Wang*, S. Mohammad Mostafavi I.*, and Kuk-Jin Yoon (*: equal contribution),
“Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks,”
CVPR, 2019
- Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon,
“Structurally Constrained Data Association for Online Multi-Object Tracking,”
IJCV, 2019
- Min-Gyu Park, and Kuk-Jin Yoon,
“As-Planar-As-Possible Depth Map Estimation,”
CVIU, 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,”
CVIU, 2019
- Yeong-Jun Cho and Kuk-Jin Yoon,
“PAMM: Person Re-identification via Pose-aware Multi-shot Matching,”
IEEE TIP, 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,
“Multi-attributed Graph Matching with Multi-layer Graph Structure and Multi-layer Random Walks,”
IEEE TIP, 2018
- Jeong-Kyun Lee and Kuk-Jin Yoon,
“Temporally Consistent Road Surface Profile Estimation Using Stereo Vision,”
IEEE TITS, 2018
- Seung-Hwan Bae and Kuk-Jin Yoon,
“Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking,”
IEEE TPAMI, 2018
- Jeong-Kyun Lee, Jae-Won Yae, Min-Gyu Park, and Kuk-Jin Yoon,
“Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction,”
ICCV, 2017
- YeongWon Kim, Dae-Yong Cho, Yong-Hoon Kwon, Hyeok-Jae Choi, Chang-Ryeol Lee, and Kuk-Jin Yoon,
“Automatic Content-aware Projection for 360 Videos,”
ICCV, 2017
- Su-A Kim and Kuk-Jin Yoon,
“Point Density-invariant 3D Object Detection and Pose Estimation,”
ICIP, 2017
- Min-Gyu Park, Ju Hong Yoon, Jonghee Park, Jeong-Kyun Lee, and Kuk-Jin Yoon,
“Learning to Detect Dynamic Feature Points,”
IV, 2017
- Jeong-Kyun Lee and and Kuk-Jin Yoon,
“Three-Point Direct Stereo Visual Odometry,”
BMVC, 2016
- Han-Mu Park and Kuk-Jin Yoon,
“Multi-attributed Graph Matching with Multi-layer Random Walks,”
ECCV, 2016
- Yeong-Jun Cho and Kuk-Jin Yoon,
“Improving Person Re-identification via Pose-aware Multi-shot Matching,”
CVPR, 2016
- Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon,
“Hierarchical Online Multi-object Tracking via Structural Constraint Event Aggregation,”
CVPR, 2016
- Se-Hoon Park, Kyuewang Lee, and Kuk-Jin Yoon,
“Robust Online Multiple Object Tracking based on the Confidence-based Relative Motion Network and Correlation Filter,”
ICIP, 2016
- Yongho Shin and Kuk-Jin Yoon,
“Spatiotemporal Stereo Matching with 3D Disparity Profiles,”
BMVC, 2015
- Seung-Hwan Bae and Kuk-Jin Yoon,
“Polyp Detection via Imbalanced Learning and Discriminative Feature Learning,”
IEEE Transactions on Medical Imaging(TMI), 2015
- Ju Hong Yoon, Ming-Hsuan Yang, and Kuk-Jin Yoon,
“Interacting Multiple Tracker,”
IEEE TPAMI, 2015
- Jeong-Kyun Lee and Kuk-Jin Yoon,
“Real-time Joint Estimation of Camera Orientation and Vanishing Points,”
IEEE CVPR, 2015
- Min-Gyu Park and Kuk-Jin Yoon,
“Leveraging Stereo Matching with Learning-based Confidence Measures,”
IEEE CVPR, 2015
- Jungho Kim, Kuk-Jin Yoon, and In-So Kweon,
“Bayesian Filtering for Keyframe-based Visual SLAM,”
IJRR, 2015
- Ju Hong Yoon, Ming-Hsuan Yang, Jongwoo Lim, and Kuk-Jin Yoon,
“Bayesian Multi-object Tracking Using Motion Context from Multiple Objects,”
IEEE WACV, 2015
- Seung-Hwan Bae and Kuk-Jin Yoon,
“Robust Online Multi-Object Tracking with Data Association and Track Management,”
IEEE TIP, 2014
- Min-Koo Kang and Kuk-Jin Yoon,
“Depth-Discrepancy-Compensated Inter-Prediction with Adaptive Segment Management for Multiview Depth Video Coding,”
IEEE TMM, 2014
- Seung-Hwan Bae and Kuk-Jin Yoon,
“Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning,”
IEEE CVPR, 2014
- Chang-Ryeol Lee, Ju Hong Yoon and Kuk-Jin Yoon,
“Robust Calibration of an Ultra-Low-Cost Inertial Measurement Unit and a Camera: Handling of Severe System Uncertainty,”
IEEE ICRA, 2014
work experience
- post-doctoral fellow, Perception team, INRIA, France, 08/2006 - 08/2008
- post-doctoral researcher, RCV Lab., KAIST, Korea, 03/2006 - 05/2006
education
- Ph.D. in electrical engineering and computer science, KAIST, 02/2006
- M.S. in electrical engineering and computer science, KAIST, 02/2000
- B.S. in electrical engineering, KAIST, 02/1998