We have one paper accepted to IEEE Transactions on Artificial Intelligence. The paper is “Disentangled Cross-modal Fusion for Event-guided Image Super-Resolution” by Minjie Liu*, Hongjian Wang*, Kuk-Jin Yoon, and Lin Wang. * denote the equal contribution.
We have twelve papers accepted to the European Conference on Computer Vision (ECCV) 2024. The papers are “Towards Real-world Event-guided Low-light Video Enhancement and Deblurring” by Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, and Kuk-Jin Yoon, “Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation” by Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon, and Kuk-Jin Yoon, “Temporal Event Stereo…
We have nine papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2024. The papers are “T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory” by Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, and Kuk-Jin Yoon “Frequency-aware Event-based Video Deblurring for Real-World Motion Blur” by Taewoo Kim*, Hoonhee Cho*,…
We have two papers accepted to the Thirty-Eighth AAAI Conference on Artificial Intelligence 2024. The papers are “FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks” by Hunmin Yang*, Jongoh Jeong*, and Kuk-Jin Yoon (*equal contribution), “Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation” by Daehee Park, Jaewoo Jeong, and Kuk-Jin Yoon.
We have one paper accepted to the International Conference on 3D Vision(3DV 2024). The paper is “Stable Surface Regularization for Fast Few-Shot NeRF ” by Byeongin Joung, Byeong-Uk Lee, Jaesung Choe, Ukcheol Shin, Minjun Kang, Taeyeop Lee, In So Kweon, Kuk-Jin Yoon.
We have Four paper accepted to the International Conference on Computer Vision (ICCV) 2023. The papers are “Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events” by Hoonhee Cho*, Hyeonseong Kim*, Yujeong Chae, and Kuk-Jin Yoon, “Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach” by Jihun Kim, Hyeokjun Kweon,…
We have two paper accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). The papers are “Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation” by Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, and Liang-Chieh Chen, “One-Shot Neural…
Professor Kuk-Jin Yoon has been appointed as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI).
Ph. D Candidate, Hyeokjun Kweon and Sung-Hoon Yoon (Prof: Kuk-Jin Yoon) won a bronze prize at ‘Signal Proscessing’ division of 29th Samsung Humantech Paper Award. Hyeokjun Kweon and Sung-Hoon Yoon, the award winners, presented a research paper titled “Weakly Supervised Semantic Segmentation via Adversarial Erasing and Reconstruction Learning”. The corresponding paper is accepted to CVPR 2023.
We have six papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2023. The papers are “Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields” by Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, and Kuk-Jin Yoon, “Learning Adaptive Dense Event Stereo from the Image Domain” by Hoonhee Cho, Jegyeong Cho, and Kuk-Jin Yoon,…
We have one paper accepted to the International Conference on Learning Representations (ICLR) 2023. The paper is “Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction” by Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim and Kuk-Jin Yoon [Publication Link]
We have one paper accepted to the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). The paper is “Pixel-wise Warping for Deep Image Stitching” by Hyeokjun Kweon*, Hyeonseong Kim*, Yoonsu Kang*, Youngho Yoon*, Wooseong Jeong and Kuk-Jin Yoon. * denote the equal contribution. [Publication Link]
We have one paper accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023). The paper is “Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need” by Hoonhee Cho*, Jinsu Lim*, Minji Lee*, Youngrae Kim*, Dongman Lee, Ho-Jin Choi, and Kuk-Jin Yoon. * denote the equal contribution. [Publication Link]
We have one paper accepted to the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022). The paper is “Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation” by Hyeokjun Kweon and Kuk-Jin Yoon. [Publication Link]
We have five papers accepted to European Conference on Computer Vision (ECCV) 2022. The papers are “Event-guided Deblurring of Unknown Exposure Time Videos” by Tae-Woo Kim, Jeong-Min Lee, Lin Wang, and Kuk-Jin Yoon, “BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning” by Changgyoon Oh*, Wonjune Cho*, Yujeong Chae*, Daehee Park*, Lin Wang and Kuk-Jin Yoon, “Adversarial…
We have one paper accepted to the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022). The paper is “Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets” by Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim. [Publication Link]
We have one paper accepted to IEEE Intelligent Vehicles Symposium 2022. The paper is “Infra Sim-to-Real : An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation” by Pranjay Shyam, Sumit Mishra, Kuk-Jin Yoon, and Kyung-Soo Kim.
We won the 2nd place in PBVS Semi-Supervised Hyperspectral Object Detection Challenge(SSHODC) 2022 (Pranjay Shyam, Kyung-Soo Kim, and Kuk-Jin Yoon).
We have five papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2022. The papers are “SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation” by Youngho Yoon, Inchul Chung, Lin Wang, and Kuk-Jin Yoon, “UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation” by Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung…
The paper “BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning” by 오창균, 조원준, 박대희, 채유정, 윤국진 won the first best paper award at Domestic Workshop on 34th Image Processing and Image Understanding (IPIU 2022). The paper “Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation” by 윤성훈, 권혁준, 정재석, 김현성, 김신정, 윤국진 won the…
We have one paper accepted to the Thirty-Six AAAI Conference on Artificial Intelligence (AAAI 2022). The paper is “Event-image Fusion Stereo using Cross-modality Feature Propagation” by Hoonhee Cho and Kuk-Jin Yoon.
We have one paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Deep Learning for HDR Imaging: State-of-the-Art and Future Trends” by Lin Wang and Kuk-Jin Yoon.
We have one paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Joint Framework for Single Image Reconstruction and Super-Resolution with an Event Camera” by Lin Wang, Taekyun Kim and Kuk-Jin Yoon.
Our work on Event-based Omnidirectional Multi-view Stereo (EOMVS) was introduced in IEEE Spectrum, with the title “This Camera Can “See” the Bigger Picture: Researchers’ new camera spots fast-moving objects over a wide angle of view“. You can find the story HERE.
We have one paper accepted to IEEE Transactions on Image Processing. The paper is “PSAT-GAN: Efficient Adversarial Attacks against Holistic Scene Understanding” by Lin Wang and Kuk-Jin Yoon.
We have one paper accepted to Pattern Recognition. The paper is “Semi-supervised Student-Teacher Learning for Single Image Super-Resolution” by Lin Wang and Kuk-Jin Yoon.
We have four papers accepted to IEEE/CVF International Conference on Computer Vision (ICCV) 2021. The papers are “Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation” by Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon, “Dual Transfer Learning for Event-based End-task Prediction via Pluggable Image Translation” by…
We have three papers accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 and IEEE Robotics and Automation Letters (RA-L). The papers are “EOMVS : Event-based Omnidirectional Multi-View Stereo” by Hoonhee Cho, Jae-seok Jeong, Kuk-Jin Yoon, “Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud” by Kwonyoung Ryu, Kang-il Lee,…
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “E2SRI: Learning to Super-Resolve IntensityImages from Events.” by Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi, and Kuk-Jin Yoon.
We have one paper accepted to IJCAI 2021 Workshop on Artificial Intelligence for Autonomous Driving. The paper is “Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks” by Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim.
VILab won CVPRW 2021 DSEC competition. “EI-Stereo” by S. Mohammad Mostafavi I., Yeongwoo Nam, Kuk-Jin Yoon, and Jonghyun Choi achieves the best performance using both the event data and image (E + I). And “CESNet” by Hyeokjun Kweon, Jaeseok Jeong, Sung-hoon Yoon, Yujeong Chae, and Kuk-Jin Yoon achieves the best performance using only event data.…
We have one paper accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2021. The paper is “EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation” by Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the International Conference on Robotics and Automation(ICRA). The paper is “Adversarially trained Hierarchical Feature Extractor for Vehicle Re-identification” by Pranjay Shyam, Kuk-Jin Yoon and Kyung-Soo Kim. [Publication Link]
The paper “EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation” by 왕린, 채유정, 윤성훈, 윤국진 won the second best paper award at Domestic Workshop on 33th Image Processing and Image Understanding (IPIU 2021). [Publication Link]
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021). The paper is “Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks.” by Lin wang and Kuk-Jin Yoon. [Publication Link]
Recognized for his contribution to the development of the artificial intelligence industry and the promotion of the Internet, Prof. Kuk-Jin Yoon received a commendation from the Minister of Science and ICT.
We have one paper accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021). The paper is “Towards Domain Invariant Single Image Dehazing” by Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision (IJCV). The paper is “Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction” by S. Mohammad Mostafavi I., Lin Wang, and Kuk-Jin Yoon. [Publication Link]
The paper “Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning” by Seung-hwan Bae, and Kuk-Jin Yoon won the test-of-time paper award at Domestic Conference on 7th Korean Conference on Computer Vision (KCCV 2020). [Publication Link]
A Ph.D. graduate of Visual Intelligence Laboratory, Dr. Yeong-Jun Cho was appointed as an assistant professor at Chonnam National University in the department of software engineering.
We have one paper accepted to the IEEE Robotics and Automation Letters (RA-L). The paper is “Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency” by Taewoo Kim, Kwonyoung Ryu, Kyeongseob Song, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation” by Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon. [Publication Link]
We have two papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020. The papers are “EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning” by Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon, (poster) and “Learning to Super Resolve Intensity Images from Events” by S. Mohammad…
We have one paper accepted to the International Conference on Robotics and Automation(ICRA). The paper is “Dynamic Anchor Selection for Improving Object Localization” by Pranjay Shyam, Kuk-Jin Yoon and Kyung-Soo Kim. [Publication Link]
We have one paper accepted to the IEEE Robotics and Automation Letters. The paper is “Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations” by Lin Wang, Wonjune Cho and Kuk-Jin Yoon. [Publication Link]
The paper “Event to HDR, Depth and Motion Images by Multi Task Learning” by S.Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon won the best paper award at Domestic Workshop on 3rd Korea Software Congress (KSC 2019).
We have one paper accepted to the 3D Vision. The paper is “Learning Depth from Endoscopic Images” by Ju-Hong Yoon, Kuk-Jin Yoon, and Min-Gyu Park. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision. The paper is “Joint Estimation of Camera Orientation and Vanishing Points from an Image Sequence in a Non-Manhattan World” by Jeong-Kyun Lee and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the Pattern Recognition Letters. The paper is “Distance-based Camera Network Topology Inference for Person Re-identification” by Yeong-Jun Cho and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IET Intelligent Transport Systems. The paper is “Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles” by Chang-Ryeol Lee and Kuk-Jin Yoon. [Publication Link]
We have two papers accepted to CVPR 2019. The papers are “SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 Images” by Yeon Kun Lee*, Jaeseok Jeong*, Jong Seob Yun*, Won June Cho*, and Kuk-Jin Yoon (*: equal contribution), and “Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative…
The paper “정20면체 기반 360도 이미지 표현 및 CNN 적용 방법” by Yeon-Kun Lee, Jae-Seok Jeong, Jong-Seob, Won-June Cho, and Kuk-Jin Yoon and the paper “Event-based HDR Image and Very HFR Video Generation using cGANs” by S.Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon won the best paper award at Domestic Workshop on 31th…
We have one paper accepted to Computer Vision and Image Understanding (CVIU), 2019. The paper is “As-Planar-As-Possible Depth Map Estimation” by Min-Gyu Park, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to Computer Vision and Image Understanding (CVIU), 2019. The paper is “Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras ” by Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the One paper accepted to ACMMM2018 Workshop and Challenge on Comprehensive Video Understanding in the Wild. The paper is “Stereo Vision aided Image Dehazing using Deep Neural Network” by Jeong-Yun Na and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the Pattern Recognition Letters. The paper is “Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching” by Han-Mu Park and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the Pattern Recognition Letters. The paper is “Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization” by Han-Mu Park and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the Sensors. The paper is “Calibration and Noise Identification of a Rolling Shutter Camera and a Low-cost Inertial Measurement Unit” by Chang-Ryeol Lee, Ju Hong Yoon, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision (IJCV). The paper is “Structural Constraint Data Association for Online Multi-Object Tracking” by Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Learning and selecting confidence measures for robust stereo matching” by Min-Gyu Park and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Transactions on Image Processing (2018). The paper is “PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification” by Yeong-Jun Cho and Kuk-Jin Yoon. [Publication Link]
The paper “Animal Detection in Huge Air-view images using CNN-based Sliding Window” by Young-Chul Yoon and Kuk-Jin Yoon won the best student paper award at International Workshop on Frontiers of Computer Vision (FCV 2018). [Publication Link]