SeoHee Lee
Room #5123, Mechanical Engineering Bldg. @ KAIST
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Recent Selected Publications
- 윤국진, 이연건, 정재석, 윤종섭, 조원준 “전방향 영상의 딥러닝을 이용한 물체 감지 방법 및 장치, 그리고 이를 이용한 차량 자율 주행 방법 및 드론 자율 주행 방법” KR 출원번호 10-2020-0048643
- 윤국진, 김태우 “이벤트 카메라를 이용한 비디오 프레임 보간 장치 및 방법” KR 출원번호 10-2023-0192590
- 윤국진, 윤성훈, 권혁준 “분류기와 이미지 복원기 간의 적대적 학습을 통한 의미론적 영상 분할 방법” KR 출원번호 10-2023-0190705
- 윤국진, 정재우, 김지훈 “학습 장치, 학습 방법 및 이를 이용한 테스트 장치 및 테스트 방법” KR 출원번호 10-2023-0168434
- 윤국진, 오창균, 조제경, 정유환 “무인 이동체 계기판 인식 시스템 및 이의 동작 방법” KR 출원번호 10-2023-0131095
- 윤국진, 김태우 “블러 이미지 복원 장치 및 그 방법” KR 출원번호 10-2022-0188515
- 윤국진, SungHoon Yoon, Hyeokjun Kweon, Jegyeong Cho “삼자 적대적 지우기 방식을 활용한 약-지도 의미론적 영역 분할 신경망 학습 방법 및 장치” KR 출원번호 10-2022-0143872
- 박인규, 조인철, 윤국진, 조민규 “GAS SPECIES IDENTIFICATION METHOD OF PHOTOACTIVE GAS SENSOR BY USING VARIABLE LIGHT RADIATION” EU 출원번호 21900960.2
- 박인규, 조인철, 윤국진, 조민규 “GAS SPECIES IDENTIFICATION METHOD OF PHOTOACTIVE GAS SENSOR BY USING VARIABLE LIGHT RADIATION” US 출원번호 18/265,379
- 윤국진, 권혁준, 정재석, 박휘성 “다시점 영상 스티칭을 위한 색 보정 방법, 영상 합성 방법, 영상 처리 장치, 저장 매체 및 컴퓨터 프로그램” KR 출원번호 10-2021-0167053
- 윤국진, 권혁준, 강윤수, 정우성, 김현성, 박휘성 “이미지 스티칭 학습 및 평가를 위한 이미지 데이터셋 생성 장치 및 그 방법” KR 출원번호 10-2021-0157112
- 윤국진, 권혁준, 강윤수, 정우성, 김현성, 박휘성 “이미지 스티칭을 위한 장치 및 그 방법” KR 출원번호 10-2021-0157069
- 윤국진, 류권영, 이강일, 조제경 “카메라와 라이다를 이용한 정밀한 깊이 정보 추정 시스템 및 그 방법” KR 출원번호 10-2021-0144185
- 윤국진, SungHoon Yoon, Hyeokjun Kweon, Hyeonseong Kim, Daehee Park “약-지도 의미론적 영역 분할 신경망 학습 방법 및 장치” KR 출원번호 10-2021-0135458
- 박인규, 강민구, 윤국진, 조인철, 정재석 “가스센서를 이용한 실시간 가스 종류 판별장치 및 방법” KR 출원번호 10-2021-0035601
- 윤국진, 이정원 “이미지 변환을 이용한 주야간에서의 3D 객체 탐지” KR 출원번호 10-2021-0008554
- 윤국진, 송경섭 “스테레오 깊이 추정의 선택적 지식 증류를 통한 단안 깊이 추정 학습” KR 출원번호 10-2021-0008555
- 박인규, 조인철, 윤국진, 조민규 “가변광조사를 이용한 광활성 가스센서의 가스종 식별방법” KR 출원번호 10-2020-0168210
- 윤국진, 윤종섭 “신체 대칭성을 이용한 3차원 사람 절대적 자세 추정 방법 및 장치” KR 출원번호 10-2020-0155669
- 윤국진, Mostafavi I., S. Mohammad, 최종현 “고해상도 강도 이미지 생성 방법 및 장치” KR 출원번호 10-2020-0070044
- 윤국진, 윤성훈 “네트워크 교정에 기반한 다중 심층 학습 네트워크 융합 프레임워크” KR 출원번호 10-2020-0032980
- 윤국진, 김태우, 류권영, 송경섭 ” 시-공간 루프 일관성을 이용한 비지도학습 기반 스테레오 비디오 깊이 및 광학 흐름 추정 방법 및 장치” KR 출원번호 10-2020-0032979
- Unifying Low-Resolution and High-Resolution Alignment by Event Cameras for Space-Time Video Super-Resolution
- TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight
- A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
- Disentangled Cross-modal Fusion for Event-guided Image Super-Resolution
- Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
- Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation
- Temporal Event Stereo via Joint Learning with Stereoscopic Flow
- Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras
- Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
- Diffusion-Guided Weakly Supervised Semantic Segmentation
- On-the-fly Category Discovery for LiDAR Semantic Segmentation
- Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach
- CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
- GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer
- LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar
- Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
- Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
- Quantifying Task Priority for Multi-Task Optimization
- From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
- Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
- Class Tokens Infusion for Weakly Supervised Semantic Segmentation
- Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
- TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
- Frequency-aware Event-based Video Deblurring for Real-World Motion Blur
- T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
- FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
- Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation
- Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
- Stable Surface Regularization for Fast Few-Shot NeRF
- EasyFuse: Easy-to-Learn Visible and Infrared Image Fusion Framework based on Unpaired Set
- Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach
- Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events
- Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment
- MATE: Masked Autoencoders are Online 3D Test-Time Learners
- Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
- One-Shot Neural Fields for 3D Object Understanding
- Event-guided Video Frame Interpolation with Bi-Modal Asymmetric Bidirectional Motion Fields
- Dual-sampling Strategy for Vehicle Trajectory Prediction with Future Relation Inference
- Domain Generalized Semantic Segmentation for LiDAR Point Clouds
- High-Resolution Novel View Synthesis via Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution
- Unlocking the Potential of Event Cameras for Stereo Matching: Selection and Cross Similarity
- Adversarial Reconstruction Learning for Weakly Supervised Semantic Segmentation
- Weakly Supervised Approach for Joint Object and Lane Marking Detection
- High Accuracy Real-time Multi-Gas Identification by Batch-Uniform Gas Sensor Array and Deep Learning Algorithm
- Artificial Olfactory Neuron for an In-sensor Neuromorphic Nose
- Ultra-Low-Power E-Noise System Based on Multi-Micro-LED-Integrated, Nanostructured Gas Sensors and Deep Learning
- Deep Learning-based Gas Identification by Time-variant Illumination of a Single Micro LED-embedded Gas Sensor
- Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor
- Learning Adaptive Dense Event Stereo from the Image Domain
- TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
- Single Domain Generalization for LiDAR Semantic Segmentation
- Cross-Guided Optimization of Radiance Fields with Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis
- Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields
- Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
- Pixel-wise Warping for Deep Image Stitching
- Efficient Reference-based Video Super-Resolution (ERVSR): Single Reference Image Is All You Need
- Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
- Facial Depth and Normal Estimation using Single Dual-Pixel Camera
- Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation
- Selection and Cross Similarity for Event-Image Deep Stereo
- BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
- Event-guided Deblurring of Unknown Exposure Time Videos
- Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets
- Infra Sim-to-Real : An efficient baseline and dataset for Infrastructure based Online Object Detection and Tracking using Domain Adaptation
- Semi-Supervised Hyperspectral Object Detection Challenge Results – PBVS 2022
- Stereo Depth from Events Cameras: Concentrate and Focus on the Future
- GIQE: Generic Image Quality Enhancement via N^th Order Iterative Degradation
- MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
- UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
- SphereSR: 360◦ Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation
- 딥러닝 네트워크 기반 철판 연마율 인식
- SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
- Exploring Pixel-level Self-supervision for Weakly Supervised Semantic Segmentation
- BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning
- Image Deblurring with Non-coaxial Event Camera via Distillation Learning
- SphereSR: 360◦ Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation
- Event-image Fusion Stereo using Cross-modality Feature Propagation
- 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
- EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
- Adversarially trained Hierarchical Feature Extractor for Vehicle Re-identification
- Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud
- EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation
- RGBD Panorama Synthesis Using Normal Field-of-View Cameras and Mobile Depth Sensors in Arbitrary Configuration
- Learning Monocular Depth Estimation via Selective Knowledge Distillation of Stereo Depth Estimation
- 권혁준, 정재석, 윤국진, “중첩 영역을 이용한 대응점 기반 다시점 영상 색상 보정 방법의 강건화”, 제33회 영상처리 및 이해에 관한 워크샵, 2021
- 권혁준, 윤성훈, 김현성, 박대희, 윤국진, “MiCAM: Mining Class Activation Maps with Image-level Supervision for Weakly Supervised Semantic Segmentation”, 제33회 영상처리 및 이해에 관한 워크샵, 2021
- 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
- Lin Wang, 김태균, 윤국진, “EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning”, 제32회 영상처리 및 이해에 관한 워크샵, 2020
- 김태우, 류권영, 송경섭, 윤국진, “Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency”, 제32회 영상처리 및 이해에 관한 워크샵, 2020
- 윤성훈, 정희찬, 윤국진, “Meta-FusionNet: Multi-network Fusion Framework based on Network Calibration ”, 제32회 영상처리 및 이해에 관한 워크샵, 2020
- 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
- S.Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon, “Event to HDR, Depth and Motion Images by Multi Task Learning”, 3rd Korea Software Congress (KSC 2019)
- 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
- Min-Gyu Park and Kuk-Jin Yoon, “Efficient Point Feature Tracking based on Self-aware Distance Transform,” British Machine Vision Conference (BMVC), Guildford, UK, Sept. 3-7, 2012.
- Kuk-Jin Yoon,”Stereo Matching based on Non-linear Diffusion with Disparity-Dependent Support-Weights,” IET Computer Vision,Vol. 6, Iss. 4, pp. 306–313,2012.
- Jean-Charles Bazin, Kuk-Jin Yoon, Inso Kweon, Cedric Demonceaux, and Pascal Vasseur,”Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application”British Machine Vision Conference (BMVC),pp. 1-11,2009.
- 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
- S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon, “Event-based HDR Image and Very HFR Video Generation using cGANs”, 제31회 영상처리 및 이해에 관한 워크샵, 2019
- 이연건, 정재석, 윤종섭, 조원준, 윤국진, “정 20면체 기반 360도 이미지 표현 및 CNN 적용 방법”, 제31회 영상처리 및 이해에 관한 워크샵, 2019
- As-Planar-As-Possible Depth Map Estimation
- 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
- Jeong-Kyun Lee and Kuk-Jin Yoon, “Real-time Joint Estimation of Camera Orientation and Vanishing Points,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 8-10, 2015.
- Min-Gyu Park and Kuk-Jin Yoon, “Optimal Key-frame Selection for Video-based Structure-from-motion“, Electronics Letters (EL), Vol. 47, Issue 25, 2011
- Kuk-Jin Yoon and Sung-Kee Park,”Improving stereo matching with symmetric cost functions,” IEICE Electronics Express,Vol. 8, No.2 pp.57-63 ,2011.
- Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Gaussian Mixture Importance Sampling Function for Unscented SMC-PHD Filter,” Signal Processing, Vol 93, Issue 9, pp. 2664–2670, 2013.
- Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Multi-Object Tracking Using Hybrid Observation in PHD filter”, International Conference on Image Processing (ICIP), Melbourne, Australia,2013.
- Yongho Shin and Kuk-Jin Yoon, “Spatiotemporal Stereo Matching for Dynamic Scenes with Temporal Disparity Variation”, International Conference on Image Processing (ICIP), Melbourne, Australia,2013.
- Jae-chan Jeong, Ho-chul Shin* ,Jiho Chang, Eul-gyun Lim, Seungmin Choi, Kuk-Jin Yoon and Jae-il Cho,”High-quality Stereo Depth Map Generation Using Infrared Pattern Projection”, ETRI Journal, Vol.35, no.6 Dec 28,2013.
- Min-Koo Kang, Dae-Young Kim, and Kuk-Jin Yoon, “Adaptive Support of Spatial–Temporal Neighbors for Depth Map Sequence Up-sampling,” IEEE Signal Processing Letters, vol.21, no.2, pp.150-154, Feb. 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,” in IEEE Intl. Conf. on Robotics and Automation (ICRA), Hong Kong, China, May 31 – June 5, 2014.
- Seung-Hwan Bae and Kuk-Jin Yoon, “Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning,” IEEE International Conference Computer Vision and Pattern Recognition (CVPR), Greater Columbus Convention Center in Columbus, Ohio, June 24-27, 2014
- Min-Koo Kang and Kuk-Jin Yoon, “Depth-Discrepancy-Compensated Inter-Prediction with Adaptive Segment Management for Multiview Depth Video Coding,” IEEE Transactions on Multimedia (TMM), vol. 16, no. 6, pp. 1563-1573, Oct. 2014.
- Seung-Hwan Bae and Kuk-Jin Yoon, “Robust Online Multi-Object Tracking with Data Association and Track Management,” IEEE Transactions on Image Processing (TIP), Volume 23, Issue 7, 2014
- Jonghee Park, Ju Hong Yoon, Min-Gyu park and Kuk-Jin Yoon, “Dynamic Point Clustering with Line Constraints for Moving Object Detection in DAS,” IEEE Signal Processing Letters (SPL), vol.21, no.10, pp.1255-1259, Oct, 2014
- Jungho Kim, Kuk-Jin Yoon, and In-So Kweon, “Bayesian Filtering for Keyframe-based Visual SLAM” International Journal of Robotics Research (IJRR), April 15, 2015.
- Ju Hong Yoon, Ming-Hsuan Yang, Jongwoo Lim, and Kuk-Jin Yoon, “Bayesian Multi-object Tracking Using Motion Context from Multiple Objects,” IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, Jan. 6-9, 2015.
- Min-Gyu Park, Jonghee Park, Yongho Shin, Eul-Gyoon Lim and Kuk-Jin Yoon, “Stereo Vision with Image-guided Structured-light Pattern Matching,” IET Electronics Letters, Volume 51, Issue 3, 05 February 2015, p.238-239
- Seung-Hwan Bae and Kuk-Jin Yoon, “Polyp Detection via Imbalanced Learning and Discriminative Feature Learning” IEEE Transactions on Medical Imaging(TMI), 2015
- Jonghee Park and Kuk-Jin Yoon, “Real-time Line Matching from Stereo Images using a Nonparametric Transform of Spatial Relations and Texture Information.” SPIE Optical Engineering, Volume 54, Issue 2, 2015.
- Seung-Hwan Bae and Kuk-Jin Yoon, “Polyp Detection via Imbalanced Learning and Discriminative Feature Learning” IEEE Transactions on Medical Imaging(TMI), 2015
- Min-Gyu Park and Kuk-Jin Yoon, “Leveraging Stereo Matching with Learning-based Confidence Measures,” IEEE International Conference Computer Vision and Pattern Recognition (CVPR), Boston, June 8-10, 2015.
- Jeong-Kyun Lee and Kuk-Jin Yoon, “Real-time Joint Estimation of Camera Orientation and Vanishing Points,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, June 8-10, 2015.
- Yongho Shin and Kuk-Jin Yoon, “Spatiotemporal Stereo Matching with 3D Disparity Profiles,” British Machine Vision Conference (BMVC), 2015.
- Se-Hoon Park, Min-Gyu Park and Kuk-Jin Yoon, “Confidence-based Weighted Median Filter for Effective Disparity Map Refinement” International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015.
- 박한무, 윤국진, “그래프를 이용한 다중 시점 영상에서의 강인한 특징점 정합”, 제9회 한국로봇종합학술대회, 2014.
- 김수아, 박구만, 윤국진, “스테레오 카메라를 이용한 손 동작 인식 시스템 개발에 관한 연구”, 제26회 영상처리 및 이해에 관한 워크샵, 2014
- 홍희종, 박민규, 윤국진, “다중 필터 융합을 통한 효과적인 깊이 영상 후처리 기법” 제 26회 영상 처리 및 이해에 관한 워크샵, 2014.
- 이창렬, 윤국진, “각속도 제약조건을 적용한 초저가형 관성센서와 카메라 간의 캘리브레이션”, 제26회 영상처리 및 이해에 관한 워크샵, 2014.
- 성창기, 유해성, 유기정, 정승환, 윤국진,”지형참조항법을 위한 칼만 필터 배열의 부필터 배치 및 선택 알고리즘,”한국항공우주학회 춘계학술대회,pp. 200-205 ,2011.
- Wang-Heon Lee, Kuk-Jin Yoon, and In So Kweon, “Modeling and Target Classification Using Multiple Reflections of Sonar,” 2003 Conference on Information and Control Systems, pp. 830-835, 2003
- Ouk Choi, Kuk-Jin Yoon, and In So Kweon, “A Hierarchical Window Based Approach for Correspondence Problem in Vision,” International Conference on Mechatronics and Information Technology (ICMIT), pp. 590-594, 2003
- Jun-Sik Kim, In So Kweon, and Kuk-Jin Yoon, “The New Projective Invariances of Concentric Circles and Their Applications: Camera Calibration,” Workshop on Image Processing and Image Understanding, pp. 328-333, 2003.
- Kuk-Jin Yoon and In So Kweon, “Locally Adaptive Support-Weight Approach for Visual Correspondence Search,” International Conference on Ubiquitous Robots and Ambient Intelligence, pp. 506-514, 2004.
- Kuk-Jin Yoon and In So Kweon, “Voting-based Separation of Diffuse and Specular Pixels,” Electronics Letters, vol. 40, no. 20, pp. 1260-1261, 2004
- Kuk-Jin Yoon and In So Kweon, “Human Perception Based Color Image Quantization,” International Conference on Pattern Recognition (ICPR), vol. 1, pp. 664-667, 2004
- Yoo Jin Choi, Kuk-Jin Yoon, and In So Kweon, “Illumination Chromaticity Estimation by Dichromatic Line Analysis Using Specularity Invariant Dichromatic-Slope,” Workshop on Image Processing and Image Understanding, pp. 392-397, 2005
- 정승환, 박민규, 김대영, 윤주홍, 성창기, 김현석, 곽희준, 선웅, 윤국진, “지형 참조 항법을 위한 추정 알고리즘의 분석”, 한국항공우주학회, 한국항공우주학회 2011년도 춘계학술대회, 2011.4, pp. 206-211
- Kuk-Jin Yoon, Yoo-Jin Choi, and In So Kweon, “Illuminant Chromaticity Estimation Using Dichromatic Slope and Dichromatic Line Space,” Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), pp. 219-224, 2005.
- Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon, “Dichromatic-Based Color Constancy Using Dichromatic Slope and Dichromatic Line Space,” IEEE International Conference on Image Processing (ICIP), vol. 3, pp. 960-963, 2005.
- Kuk-Jin Yoon and In So Kweon, “Locally Adaptive Support-Weight Approach for Visual Correspondence Search,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 924-931, 2005.
- 홍희종, 박종희, 윤국진 “운전자 지원 시스템을 위한 클러스터링 기반 부정확한 차량 검출 보정 기법”, 제27회 영상처리 및 이해에 관한 워크샵, 2015.
- 박세훈, 윤국진, “색상 유사 영역의 깊이 값 보정에 효과적인 에지 기반 가중 중간 값 필터”, 제27회 영상처리 및 이해에 관한 워크샵, 2015.
- 조대용, 박민규, 윤국진, “비디오 기반 카메라 움직임 및 3차원 구조 추정을 위한 특징점 이상치 제거 기법”, 제27회 영상처리 및 이해에 관한 워크샵, 2015.
- 윤주홍, 황영배, 최병호, 윤국진 “카메라 움직임에 강건한 영상기반 다중객체 추적 방법”, 제27회 영상처리 및 이해에 관한 워크샵, 2015.
- Seung-Hoon Han, Kuk-Jin Yoon, and In So Kweon, “A New Technique for Shot Detection and Key Frames Selection in Histogram Space,” Workshop on Image Processing and Image Understanding, pp. 475-479, 2000.
- Kuk-Jin Yoon and In So Kweon, “Moving Object Segmentation with Accurate Boundary Using Color and Motion,” Workshop on Image Processing and Image Understanding, pp. 150-155, 2000.
- Kuk-Jin Yoon and In So Kweon, “Moving Object Segmentation Algorithm for Human-like Vision System,” International Workshop on Human-friendly Welfare Robotic Systems (HWRS), pp. 109-114, 2000.
- Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim and Sung Chan Jun, “Cortical Responses and Shape Complexity of Stereoscopic Image – A Simultaneous EEG/MEG Study,” NeuroSignals, 2016
- Jungho Kim, Kuk-Jin Yoon, Jun-Sik Kim, and In So Kweon, “Simultaneous Localization And Mapping Using Single Camera Catadioptric Stereo System,” SICE – ICASE International Joint Conference, , 2006.
- Kuk-Jin Yoon and In So Kweon, “Separating Reflection Components using a Single Color Image,” Workshop on Image Processing and Image Understanding, pp. 86-91, 2006.
- Kuk-Jin Yoon, In So Kweon, Chang-Yeong Kim and Yang-Seok Seo, “Moving Object Segmentation Based on Human Visual Sensitivity,” Lecture Notes in Computer Science-Biologically Motivated Computer Vision (BMCV), vol. 1811, pp. 62-72, 2000.
- Kuk-Jin Yoon, Yoo Jin Choi, and In So Kweon, “Fast Separation of Reflection Components Using a Specularity-Invariant Image Representation,” IEEE International Conference on Image Processing (ICIP), pp. 973-976, 2006.
- Jong-Eun Ha, Jin-Young Yang, Kuk-Jin Yoon, and In So Kweon, “Self-Calibration Using the Linear Projective Reconstruction,” IEEE International Conference on Robotics and Automation (ICRA), vol. 1, pp. 885-890, 2000.
- Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Background Robust Object Labeling by Voting of Weight-Aggregated Local Features,” International Conference on Pattern Recognition (ICPR), pp. 219-222, 2006.
- Kuk-Jin Yoon and In So Kweon, “Correspondence Search in the Presence of Specular Highlights using Specular-Free Two-Band Images,” Lecture Notes in Computer Science-Asian Conference on Computer Vision (ACCV), vol. 3852, pp. 761-770, 2006.
- Kuk-Jin Yoon, In So Kweon, Chan-Ho Lee, Jong-Kyu Oh, and In-Taek Yeo, “Landmark Design and Real-Time Landmark Tracking Using Color Histogram for Mobile Robot Localization,” International Symposium on Robotics (ISR), pp. 1083-1088, 2001.
- Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity,” IEEE Workshop on Perceptual Organization in Computer Vision (in conjunction with CVPR), pp. 193-200, 2006.
- Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon, “Fast Landmark Tracking and Localization Algorithm for the Mobile Robot Self-Localization,” IFAC Workshop on Mobile Robot Technology, pp. 190-195, 2001.
- Kuk-Jin Yoon and In So Kweon, “Stereo Matching with Symmetric Cost Functions,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2371-2377, 2006.
- Kuk-Jin Yoon and In So Kweon, “Adaptive Support-Weight Approach for Correspondence Search,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no. 4, pp. 650-656, 2006.
- Kuk-Jin Yoon and In So Kweon, “Landmark Design and Real-Time Landmark Tracking for Mobile Robot Localization,” SPIE Photonics Boston 2001 : Mobile Robots XVI, vol. 4573, pp. 219-226, 2001.
- Kuk-Jin Yoon and In So Kweon, “Stereo Matching with the Distinctive Similarity Measure,” IEEE International Conference on Computer Vision (ICCV), 2007.
- Kuk-Jin Yoon, Amael Delaunoy, Pau Gargallo, and Peter Sturm, “Toward Global and Model based Multiview Stereo Methods for Shape and Reflectance Estimation,” Workshop on Photometric Analysis and Computer Vision (PACV) (in conjunction with ICCV), 2007.
- 이기창, 이원희, 윤국진, 신용호, 김영원, 송진호 “스테레오 매칭 방법 및 장치” KR 출원번호 10-2017-0117922
- 문영수, 윤국진, 김재현, “영상 광류를 추정하는 방법 및 이를 위한 장치”, KR, 출원번호 10-2015-0054627
- Young-su Moon, Kuk-Jin Yoon, Jae-Hyun Kim, “method and apparatus for estimating image optical flow”, US, 출원번호 15/017,792
- 윤국진, 이정균 “실내 복원 방법”, KR 출원번호 10-2017-0183212
- 윤국진, 박한무 “그래프 정합 방법”, KR 출원번호 10-2017-0177585
- 윤국진, 조영준, “카메라 네트워크 토폴로지 추정 및 사람 재식별 방법”, KR, 출원 번호 10-2018-0130126
- 이창렬, 윤국진, “Robust IMU-camera calibration using constraints”, 제25회 영상처리 및 이해에 관한 워크샵, 2013.
- 조영준, 박민규, 윤국진, “HOG 템플릿 분할을 통한 왜곡된 영상에서의효율적인 보행자 탐색 기법”, 제25회 영상처리 및 이해에 관한 워크샵, 2013.
- 이정균, 윤국진, “영상 기반 SLAM을 위한 IMM 필터링의 Model Probability 업데이트 방법”, 제 25회 영상처리 및 이해에 관한 워크샵, 2013
- 박민규, 박종희, 신용호, 임을균, 윤국진,”적응적 영역 가중치 기법과 구조광 기법의 융합을 통한 고성능 깊이 영상 획득 기법”,신호처리합동학술대회,2013
- 신용호, 박민규, 임을균, 윤국진, “경사면을 위한 영상 기반 좌우 일관성 검사 연구”, 신호처리합동학술대회,2013
- 신용호, 윤국진, “전역 및 지역적 밝기 변화에 강인한 적응형 센서스 스테레오 정합”, 제 24회 영상처리 및 이해에 관한 워크샵, 2012.
- 박민규, 정승환, 윤국진, “효율적인 단일 비디오 영상을 이용한 3차원 복원 기법 연구”, 제24회 영상처리 및 이해에 관한 워크샵, 2012.
- 강민구, 조호현, 전성찬, 윤국진, “3D 비디오 시스템과 시각피로도 연구”, 제 24회 영상처리 및 이해에 관한 워크샵, 2012.
- 정승환, 윤주홍, 박민규, 김대영, 성창기, 김현석, 김윤형, 곽희준, 선웅, 윤국진, “간섭계 레이더 고도계를 활용한 지형참조항법의 성능 분석”, 한국항공우주학회지 40권, 제4호, 2012.
- 윤주홍, 윤국진, “다중 특징량을 이용한 강인한 물체 추적”, 제27회 제어, 로봇, 시스템 학회 (ICROS), KOEX, Seoul, 2012
- 신용호, 박민규, 윤국진, “동적 장면에 대한 파노라마 생성 기법 연구”, 제 23회 신호처리 합동 학술대회, 2010, pp. 107-109
- 조지호, 장인엽, 윤국진, 이관행,”모호한 경계를 가진 객체 표현을 위한 MRF 기반의 깊이 영상 향상 기법” Workshop on Image Processing and Image Understanding, pp. 72-75, 2010.
- Yoo Jin Choi, Kuk-Jin Yoon, and In So Kweon, “Illumination Chromaticity Estimation for a Single- or Multiple-Colored Image Using Dichromatic Line Space,” Journal of the Korea Information Science Society, vol. 33, no. 1, pp. 84-94, 2006.
- Seung-Hoon Han, Gi-Jeong Jang, Kuk-Jin Yoon, Jun-Hyuk Cha, Kyung-Sig Rho, and In So Kweon, “Recent Developments in Machine Vision Research,” Journal of the Korea Society of Precision Engineering, vol. 18, no 3, pp. 23-34, 2001.
- Sungho Kim, Kuk-Jin Yoon, and In So Kweon, “Object Recognition Using a Generalized Robust Invariant Feature and Gestalt’s Law of Proximity and Similarity,” Pattern Recognition (PR), vol. 41, no. 2, pp. 726-741, 2008.
- Kuk-Jin Yoon, Gi-Jeong Jang, Sung-Ho Kim, and In So Kweon, “Color Landmark Based Self-Localization for Indoor Mobile Robots,” Journal of Control, Automation, and Systems Engineering, vol. 7, no. 9, pp. 749-757, 2001.
- Kuk-Jin Yoon, In So Kweon,”Distinctive Similarity Measure for Stereo Matching Under Point Ambiguity,” Computer Vision and Image Understanding (CVIU),Vol 112, Iss 2, pp 173–183, 2008.
- Kuk-Jin Yoon and In So Kweon, “Artificial Landmark Tracking Based on the Color Histogram,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 4, pp. 1918-1923, 2001.
- Kuk-Jin Yoon, Emmanuel Prados, and Peter Sturm, “Generic Scene Recovery using Multiple Images,” International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp. 745-757, oral presentation, 2009.
- Kuk-Jin Yoon and In So Kweon, “Color Image Segmentation Considering of Human Sensitivity for Color Pattern Variations,” SPIE Photonics Boston 2001 : Intelligent Robot and Computer Vision XX: Algorithms, Techniques and Active Vision, vol. 4572, pp. 269-278, 2001
- Jungho Kim, Kuk-Jin Yoon, and In So Kweon,”Robust 3-D Visual SLAM in a Large-scale Environment,” International Symposium on Robotics Research (ISRR), pp 1-16, 2009
- Kuk-Jin Yoon, Yekeun Jeong, and In So Kweon,” Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching”Asian Conference on Computer Vision (ACCV), oral presentation(5.37%), pp 25-36 ,2009.
- Jean-Charles Bazin, Dang-Quang Pham, Inso Kweon, and Kuk-Jin Yoon,” Automatic method for closed Eye Correction” IEEE International Conference on Image Processing (ICIP), pp. 2433-2436, 2009.
- Peter Sturm, Amae”l Delaunoy, Pau Gargallo, Emmanuel Prados, and Kuk-Jin Yoon,”3D and Appearance Modeling from Images,” Iberoamerican Congress on Pattern Recognition (Invited Talk), pp. 695-704, 2009.
- Kuk-Jin Yoon, Min-Gil Shin, and Ji-Hyo Lee, “Recognizing 3D Objects with 3D information from Stereo Vision”, International Conference on Pattern Recognition (ICPR), pp. 4020-4023, 2010.
- Kuk-Jin Yoon, Emmanuel Prados, and Peter Sturm, “Joint Estimation of Shape and Reflectance using Multiple Images with Known Illumination Conditions”, International Journal of Computer Vision (IJCV), vol. 86, no. 2-3, pp. 192-210, 2010.
- Yongho Shin, Min-Gyu Park, Young-Sun Jeon, Young-Su Moon, Shi-Hwa Lee, and Kuk-Jin Yoon, “Tone Correction with Dynamic Objects for Seamless Image Mosaic“, Color and Reflectance in Imaging and Computer Vision Workshop 2010 (in conjunction with ECCV 2010), 2010.
- Kuk-Jin Yoon and Min-Gil Shin, “Reducing Ambiguity in Object Recognition using Relational Information”, Asian Conference on Computer Vision (ACCV), 2010.
- Ji-Ho Cho, Kuk-Jin Yoon, and K. H. Lee,”Alpha-matte-based Depth Map Enhancement for Hairy Objects,” Electronics Letters,vol. 46, no. 3, pp. 211–213, 2010
- Ji-Ho Cho, Min Ki Park, Kuk-Jin Yoon, and Kwan H. Lee,”Automatic Video Matting with Temporal Coherence using Time-of-flight Sensor,”28th Picture Coding Symposium, pp. 81-81, 2010.
- H. Cho, M.-K. Kang, K.-J. Yoon, and S. C. Jun, “Feasibility study for visual discomfort assessment on stereo images using EEG,” International Conference on 3D Imaging (IC3D), pp. 1-6, 2012.
- Seung-Hwan Bae, Du Yong Kim, Ju Hong Yoon, Vladimir Shin, and Kuk-Jin Yoon*, “Automated Multi-Target Tracking with Kinematic and Non-Kinematic Information,” IET Radar, Sonar and Navigation, Vol. 6, No.4, p.p. 272- 281, April, 2012.
- Dae-Young Kim and Kuk-Jin Yoon, “High Quality Depth Map Up-Sampling with Consideration for Edge Noise of Range Sensors,” IEEE International Conference on Image Processing (ICIP), 2012 (oral presentation).
- Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Visual Tracking via Adaptive Tracker Selection with Multiple Features,” European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012.
- Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Efficient Importance Sampling Function Design for Sequential Monte Carlo PHD Filter“, Signal Processing, 92(9), pp. 2315-2321, 2012.
- 조영준, 윤국진 “다중 카메라 간 객체 재-인식을 위한 거리 정보 기반의 카메라 네트워크 구조 추론”, 제30회 영상처리 및 이해에 관한 워크샵, 2018
- 이창렬, 윤국진 “Fusion of Camera, IMU, and Speedometer for Localization of Autonomous Vehicles”, 제30회 영상처리 및 이해에 관한 워크샵, 2018
- 이정균, 윤국진 “이동 평균 필터 기반 노면 프로파일 추정 방법”, 제30회 영상처리 및 이해에 관한 워크샵, 2018
- Mohammad Mostafavi, Jin-Ho Song, and Kuk-Jin Yoon, “3D Scene Reconstruction through Cluster-Wise Bundle Adjustment of Feature Points”, IPIU, 2018
- Mohammad Mostafavi, Jin-Ho Song, and Kuk-Jin Yoon, “Refining Synthesized Depth from Deep Neural Networks for 3D Reconstruction”, IPIU, 2018
- 신동훈, 윤국진, “전 방향 객체 검출을 위한 360도 파노라마 영상에서의 CNN기반 객체 검출 방법”, 제30회 영상처리 및 이해에 관한 워크샵, 2018
- 최혁재, 윤국진 “An improved deep neural network for recognition of low-resolution digits”, 제28회 영상처리 및 이해에 관한 워크샵, 2016
- 이규왕, 박세훈, 윤국진 “Motion Compensative Method on Kernelized Correlation Filter Tracker”, 제 28회 영상처리 및 이해에 관한 워크샵, 2016
- 윤주홍, 황영배, 최병호, 윤국진 “검출기 융합에 기반을 둔 확률가정밀도 (PHD) 필터를 적용한 다중 객체 추적 방법”, 2016년도 ICROS (제어로봇시스템학회)
- 이정균, 윤국진 “영상 거리계 및 평면 추정 정보를 이용한 카메라-차체 회전 캘리브레이션 방법”, 2016년도 대한전자공학회 추계학술대회
- 예재원, 윤국진 “깊이 영상을 활용한 조명 변화에 강건한 얼굴 표정 인식”, 제29회 영상처리 및 이해에 관한 워크샵, 2017
- 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.
- Ju Hong Yoon, Ming-Hsuan Yang, and Kuk-Jin Yoon, “Interacting Multiview Tracker” IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), vol. 38, no. 5, pp. 903-917, 2016
- Yongho Shin and Kuk-Jin Yoon, “Robust spatiotemporal stereo against image motion and temporal disparity variation,” Electronics Letters, 2016
- Yeong-Jun Cho and Kuk-Jin Yoon, “Improving Person Re-identification via Pose-aware Multi-shot Matching, “IEEE International Conference on Computer Vision and Pattern Recognition (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,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
- Kyu-Ewang Lee, Se-Hoon Park, and Kuk-Jin Yoon, “PSR-Deterministic Search Range Penalization Method on Kernelized Correlation Filter Tracker” International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016
- Yeong-Jun Cho, Seung-Hwan Bae, and Kuk-Jin Yoon, “Multi-Classier-based Automatic Polyp Detection in Endoscopic Images” Journal of Medical and Biological Engineering (JMBE), 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”, International Conference on Image Processing (ICIP), 2016
- Han-Mu Park and Kuk-Jin Yoon, “Encouraging second-order consistency for multiple graph matching,” Machine Vision and Applications, 2016
- Yongho Shin and Kuk-Jin Yoon, “PatchMatch Belief Propagation Meets Depth Upsampling for Hgh-resolution Depth Maps,” IET Electronics Letters, 2016
- Han-Mu Park and Kuk-Jin Yoon, “Multi-attributed Graph Matching with Multi-layer Random Walks,” European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 8 – 16, 2016
- Jeong-Kyun Lee and Kuk-Jin Yoon, “Three-Point Direct Stereo Visual Odometry,” British Machine Vision Conference (BMVC), York, UK, 19th-22nd September 2016
- Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon, “Joint Estimation of Multi-Target SNR and Dynamic States in Cluttered Environment,” IET Radar, Sonar and Navigation, 2016
- 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
- Su-Ho Cho and Kuk-Jin Yoon, “Multiple Styles Transfer Emphasizing Visual Saliency”, Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 2017
- Min-Koo Kang, Ho-Hyun Cho, Han-Mu Park, Sung-Chan Jun, and Kuk-Jin Yoon, “A Wellness Platform for Stereoscopic 3D Video Systems Using EEG-based Visual Discomfort Evaluation Technology,” Applied Ergonomics, 2017.
- Min-Gyu Park, Ju-Hong Yoon, Jong-Hee Park, Jeong-Kyun Lee, and Kuk-Jin Yoon, “Learning to Detect Dynamic Feature Points,” IEEE Intelligent Vehicles Symposium (IV), CA, USA, June 11-14, 2017.
- Ho-Hyun Cho, Min-Koo Kang, Sang-Tae Ahn, Moon-Young Kwon, Kuk-Jin Yoon, Ki-Woong Kim, and Sung-Chan Jun, “Cognitive Response and Cortical Oscillatory Processing for Various Stereoscopic Depths – Simultaneous EEG/MEG Study,” Journal of Integrative Neuroscience, 2017.
- Su-A Kim, and Kuk-Jin Yoon, “Point Density-Invariant 3D Object Detection and Pose Estimation,” International Conference on Image Processing (ICIP), 2017.
- Yeong-Won Kim*, Chang-Ryeol Lee*, Dae-Yong Cho, Yong-Hoon Kwon, Hyeok-Jae Choi, and Kuk-Jin Yoon, “Automatic Content-aware Projection for 360 Videos,” IEEE International Conference on Computer Vision (ICCV), 2017
- Jeong-Kyun Lee*, Jae-Won Yea*, Min-Gyu Park, and Kuk-Jin Yoon, “Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction,” IEEE International Conference on Computer Vision (ICCV), 2017
- Yong-Ho Shin and Kuk-Jin Yoon, “Adaptive Spatiotemporal Similarity Measure for Consistent Depth Maps”, International Conference on Computer Applications and Information Processing Technology (CAIPT 2017)
- Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyu-Ewang Lee and Kuk-Jin Yoon, “Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks”, International Workshop on Cross-domain Human Identification (in conjunction with ICCV), 2017
- Han-Mu Park, Se-Hoon Park, and Kuk-Jin Yoon, “Multi-Object Tracking via Tracklet Confidence-Aided Relative Motion Analysis,” SPIE Journal of Electronic Imaging, 2017
- Williem, Andre Ivan, Ho-Chang Seok, Jong-Woo Lim, Kuk-Jin Yoon, Ik-Hwan Cho, and In-Kyu Park, “Visual-Inertial RGB-D SLAM for Mobile Augmented Reality,” Advances in Multimedia Information Processing (PCM), 2017
- 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
- Projects
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