International

Go To    :  [2021]    [2020]    [2019]    [2018]    [2017]    [2016]    [~2015]

2021

Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks

Lin Wang and Kuk-Jin Yoon

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Towards Domain Invariant Single Image Dehazing

Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

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2020

Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow

S. Mohammad Mostafavi I., Lin Wang, and Kuk-Jin Yoon

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Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency

Taewoo Kim, Kwonyoung Ryu*, Kyeongseob Song*, and Kuk-Jin Yoon

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SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation

Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon

[PDF]

EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning

Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (poster)

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Learning to Super Resolve Intensity Images from Events

S. Mohammad Mostafavi I., Jonghyun Choi, and Kuk-Jin Yoon

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020 (oral)

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Dynamic Anchor Selection for Improving Object Localization

Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim

International Conference on Robotics and Automation (ICRA) 2020

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Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations

Lin Wang, Wonjune Cho, and Kuk-Jin Yoon

IEEE Robotics and Automation Letters (RA-L) 2020 (presented at International Conference on Robotics and Automation (ICRA) 2020)

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2019

Consistent multiple graph matching with multi-layer random walks synchronization

Han-Mu Park and Kuk-Jin Yoon

Pattern Recognition Letters, 2019

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Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching

Han-Mu Park and Kuk-Jin Yoon

Pattern Recognition Letters, 2019

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Joint Estimation of Camera Orientation and Vanishing Points from an Image Sequence in a Non-Manhattan World

Jeong-Kyun Lee and Kuk-Jin Yoon

International Journal of Computer Vision (IJCV) 2019

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Learning Depth from Endoscopic Images

Ju-Hong Yoon, Kuk-Jin Yoon, and Min-Gyu Park

3D Vision 2019

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Confidence Analysis of Feature Points for Visual-Inertial Odometry of Urban Vehicles

Chang-Ryeol Lee, and Kuk-Jin Yoon

IET Intelligent Transport Systems, 2019

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Distance-based Camera Network Topology Inference for Person Re-identification

Yeong-Jun Cho and Kuk-Jin Yoon

Pattern Recognition Letters 2019

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Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks

S. Mohammad Mostafavi I.*, Lin Wang*, and Kuk-Jin Yoon (*: equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

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SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360◦ Images

Yeon-Kun Lee*, Jae-Seok Jeong*, Won-June Cho*, Jong-Seob Yun*, and Kuk-Jin Yoon (*: equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2019

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Learning and selecting confidence measures for robust stereo matching

Min-Gyu Park, and  Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2019

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As-Planar-As-Possible Depth Map Estimation

Min-Gyu Park, and Kuk-Jin Yoon

Computer Vision and Image Understanding (CVIU), 2019

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Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras 

Yeong-Jun Cho, Su-A Kim*, Jae-Han Park*, Kyuewang Lee and Kuk-Jin Yoon

Computer Vision and Image Understanding (CVIU), 2019

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Structural Constraint Data Association for Online Multi-object Tracking

Ju Hong Yoon , Chang-Ryeol Lee, Ming-Hsuan Yang, and Kuk-Jin Yoon

International Journal of Computer Vision (IJCV) , 2019

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2018

Stereo Vision aided Image Dehazing using Deep Neural Network

Jeong-Yun Na and Kuk-Jin Yoon

The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

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PaMM: Pose-Aware Multi-Shot Matching for Improving Person Re-Identification

Yeong-Jun Cho ,and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP) , 2018

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Calibration and Noise Identification of a Rolling Shutter Camera and a Low-Cost Inertial Measurement Unit

Chang-Ryeol Lee , Ju Hong Yoon  and Kuk-Jin Yoon

Sensors, 2018

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Multi-attributed Graph Matching with Multi-layer Graph Structure and Multi-layer Random Walks

Han-Mu Park , and Kuk-Jin Yoon

IEEE Transactions on Image Processing (TIP), 2018

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Temporally Consistent Road Surface Profile Estimation Using Stereo Vision

Jeong-Kyun Lee , and Kuk-Jin Yoon

IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2018

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Greedy Refinement of Object Proposals via Boundary-aligned Minimum Bounding Box Search

Han-Mu Park, Dae-Yong Cho, and Kuk-Jin Yoon

IET Computer Vision, 2018

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Confidence-Based Data Association and Discriminative Deep Appearance Learning for Robust Online Multi-Object Tracking

Seung Hwan Bae, and Kuk-Jin Yoon

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 40, no. 3, pp. 595-610, 2018.

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Animal Detection in Huge Air-view Images using CNN-based Sliding Window

Young-Chul Yoon, and Kuk-Jin Yoon

International Workshop on Frontiers of Computer Vision (IW-FCV), 2018

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2017

Unified framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks

Yeong-Jun Cho, Jae-Han Park*, Su-A Kim*, Kyuewang Lee and Kuk-Jin Yoon

International Workshop on Cross-domain Human Identification (in conjunction with ICCV)

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Automatic Content-aware Projection for 360 Videos

Yeong Won Kim*, Chang-Ryeol Lee*, Dae-Yong Cho, Yong Hoon Kwon, Hyeok-Jae Choi, and Kuk-Jin Yoon

IEEE International Conference on Computer Vision (ICCV)

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Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction

Jeong-Kyun Lee*, Jae-Won Yea*, Min-Gyu Park, and Kuk-Jin Yoon

IEEE International Conference on Computer Vision (ICCV)

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Multi-Object Tracking via Tracklet Confidence-Aided Relative Motion Analysis

Han-Mu Park, Se-Hoon Park, and Kuk-Jin Yoon

SPIE Journal of Electronic Imaging

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Visual-Inertial RGB-D SLAM for Mobile Augmented Reality

Williem, Andre Ivan, Ho-Chang Seok, Jong-Woo Lim, Kuk-Jin Yoon, Ik-Hwan Cho, and In-Kyu Park

Advances in Multimedia Information Processing (PCM)

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Point Density-Invariant 3D Object Detection and Pose Estimation

Su-A Kim, and Kuk-Jin Yoon

IEEE International Conference on Image Processing

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Adaptive Spatiotemporal Similarity Measure for Consistent Depth Maps

Yongho Shin and Kuk-Jin Yoon

The 4th International Conference on Computer Applications and Information Processing Technology (CAIPT 2017) Bali, Indonesia, August 8-10

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A Wellness Platform for Stereoscopic 3D Video Systems Using EEG-based Visual Discomfort Evaluation Technology

Min-Koo Kang, Hohyun Cho, Han-Mu Park, Sung Chan Jun, and Kuk-Jin Yoon

Applied Ergonomics

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Learning to Detect Dynamic Feature Points

Min-Gyu Park, Ju Hong Yoon, Jonghee Park, Jeong-Kyun Lee, and Kuk-Jin Yoon

IEEE Intelligent Vehicles Symposium (IV)

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Joint Estimation of Multi-Target SNR and Dynamic States in Cluttered Environment

Seung-Hwan Bae, Jong-Youl Park, and Kuk-Jin Yoon

IET Radar, Sonar and Navigation

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Cognitive Response and Cortical Oscillatory Processing for Various Stereoscopic Depths – Simultaneous EEG/MEG Study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim, and Sung Chan Jun

Journal of Integrative Neuroscience

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Multiple Styles Transfer Emphasizing Visual Saliency

Suho Cho and Kuk-Jin Yoon

Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)

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2016

Cortical Responses and Shape Complexity of Stereoscopic Image – A Simultaneous EEG/MEG Study

Hohyun Cho, Min-Koo Kang, Sangtae Ahn, Moonyoung Kwon, Kuk-Jin Yoon, Kiwoong Kim and Sung Chan Jun

NeuroSignals

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Three-Point Direct Stereo Visual Odometry

Jeong-Kyun Lee and Kuk-Jin Yoon

27th British Machine Vision Conference (BMVC)

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~ 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.
• 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.
• 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.

• 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

• 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-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.
• 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.

• 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.

• 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.

• 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.
• 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.
• 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.

• 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, 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, “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.

• 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, 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.
• 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.
• 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 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.

• 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
• 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.

• 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

• 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, 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.
• 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, “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, 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 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 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

• 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.
• 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.
• 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.