Computer Vision Machine Learning Lab


Publications
< Working >

- Visual Tracking for Highly Deformable Targets based on Blankets Joint Posterior Estimation and Minibatch Metropolis-Hastings
Junseok Kwon, Information Sciences (INFSCI), Prepare for submission
[pdf]





- SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching and Its Applications
Sung Woo Park and Junseok Kwon, International Journal of Computer Vision (IJCV), Major Revision
[pdf]
ACK:NRF-2018R1A4A1059731





- Riemannian Submanifold Framework for Log-Euclidean Metric Learning on Symmetric Positive Definite Manifolds
Sung Woo Park and Junseok Kwon, Information Sciences (INFSCI), Submitted
[pdf]
ACK:NRF-2018R1A4A1059731





< Technical Report >

< Journal publications >

- Visual Tracking Enhancement by Trajectory Simulation based on Hidden Semi-Markov Model
Suhyeon Ha and Junseok Kwon, Electronics Letters, Accepted
[pdf]
ACK: CAU Scholarship Grants, NRF-2017R1C1B1003354




-Robust Visual Tracking based on Variational Auto-encoding Markov Chain Monte Carlo
Junseok Kwon, Information Sciences (INFSCI), Accepted
[pdf]
ACK:NRF-2018R1A4A1059731





- Rare Event Detection by Quasi-Wang-Landau Monte Carlo Sampling with Approximate Bayesian Computation
Junseok Kwon, Journal of Mathematical Imaging and Vision (JMIV), vol. 61 , no. 9, Nov, page 1258-1275, 2019
[pdf]
ACK:NRF-2017R1C1B1003354





- Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Junghee Cho, Junseok Kwon, and Byung-Woo Hong, IEEE Access, vol. 7, page 122889-122899, 2019
[pdf]
ACK:NRF-2018R1A4A1059731




- Particle Swarm Markov Chain Monte Carlo for Robust Visual Tracking with Adaptive Template Update
Junseok Kwon, Applied Soft Computing (ASC), Accepted
[pdf]
ACK:IITP-2017-0-01780





- Small Object Segmentation with Fully Convolutional Network based on Overlapping Domain Decomposition
Jinhee Park, Dokyeong Kwon, Bo Won Choi, Ga Young Kim, Kwang Yong Kim, and Junseok Kwon, Machine Vision and Applications(MVA), vol. 30 , no. 4, June, page 707 -716, 2019
[pdf]
ACK: ETRI, CAU Scholarship Grants





- Orthogonal Object Proposal and Its Application
Sung Woo Park, and Junseok Kwon, IET Computer Vision, vol. 13 , no. 4, June, page 420 -427, 2019
[pdf]
ACK: CAU Scholarship Grants





- Visual Tracking with Adaptive Initial Configuration and Likelihood Landscape Analysis
Guisik Kim, and Junseok Kwon, IET Computer Vision, vol. 13 , no. 1, Feb, page 1-7, 2019
[pdf]
ACK: CAU Scholarship Grants






- Real-time Visual Tracking by Deep Reinforced Decision Making
Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee, Computer Vision and Image Understanding (CVIU), vol. 171, June, page 10-19, 2018
[pdf]
ACK:IITP-2017-0-01780





- Uncertainty Calibrated Markov Chain Monte Carlo Sampler for Visual Tracking based on Multi-Shape Posterior
Junseok Kwon, Journal of Mathematical Imaging and Vision, (JMIV), vol. 60, no. 5, page 681-691, 2018
[pdf]
ACK:NRF-2017R1C1B1003354





- Visual Tracking Based on Edge Field with Object Proposal Association
Junseok Kwon, Hansung Lee, Image and Vision Computing(IVC), vol. 69, January, page 22-32. 2018
[pdf]
ACK:NRF-2017R1C1B1003354





- Multi-target Tracking by Enhancing the Kernelized Correlation Filter based Tracker
Junseok Kwon, Kwangyong Kim, and Kee-seong Cho, Electronics Letters, vol. 53, no. 20, page 1358-1360. 2017
[pdf]





- Leveraging Observation Uncertainty for Robust Visual Tracking
Junseok Kwon, Radu Timofte, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 158, page 62-71. 2017
[pdf]





- Adaptive Visual Tracking with Minimum Uncertainty Gap Estimation
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 39, no. 1, page 18-31. 2017
[pdf]





- Joint Tracking and Ground Plane Estimation
Junseok Kwon, Ralf Dragon, and Luc Van Gool, IEEE Signal Processing Letters (SPL), vol. 23, no. 11, page 1514 - 1517. 2016
[pdf]





- Tracking by Switching State Space Models
Junseok Kwon, Ralf Dragon, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 153, page 29 - 36. 2016
[pdf]





- PICASO: PIxel Correspondences And SOft Match Selection for Real-time Tracking
Radu Timofte, Junseok Kwon, and Luc Van Gool, Computer Vision and Image Understanding (CVIU), vol. 153, page 162 - 153. 2016
[pdf]





- A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 37, no. 9, page 1737-1750. 2015
[pdf]





- Tracking by Sampling and Integrating Multiple Trackers
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 36, no. 7, page 1428-1441. 2014
[pdf]





- Highly Non-Rigid Object Tracking via Patch-based Dynamic Appearance Modeling
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 10, page 2427-2441. 2013
[pdf]





- Wang-Landau Monte Carlo-based Tracking Methods for Abrupt Motions
Junseok Kwon, and Kyoung Mu Lee, IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), vol. 35, no. 4, page 1011-1024. 2013
[pdf] [project page]





< Conference publications >

- 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions
Dong Wook Shu*, Sung Woo Park*, and Junseok Kwon, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019
(*equal contribution)
[pdf] [video1] [video2] [code]





- Deep Meta Learning for Real-Time Target-Aware Visual Tracking
Janghoon Choi, Junseok Kwon, and Kyoung Mu Lee, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019
[pdf]





- Bidirectional Deep Residual learning for Haze Removal
Guisik Kim, Jinhee Park, Suhyeon Ha and Junseok Kwon, Computer Vision and Pattern Recognition (CVPR) Workshop, Long beach, USA, 2019
[pdf]





- Multi-Domain Attentive Detection Network
Sungmin Cho, Bowon Choi, Do-Hwi Kim, and Junseok Kwon, The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019
[pdf]





- LOW-LIGHTGAN: Low-Light Enhancement via Advanced Generative Adversarial Network with Task-Driven Training
Guisik Kim, Dokyeong Kwon, and Junseok Kwon, The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019
[pdf]





- Learning to Remember Past to Predict Future for Visual Tracking
Sungyong Baik, Junseok Kwon, and Kyoung Mu Lee, The 26th IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019
[pdf]





- Depth-Controllable Very Deep Super-Resolution Network
Dohyun Kim, Joongheon Kim, Junseok Kwon and Tae-Hyung Kim, International Joint Conference on Neural Networks (IJCNN), 2019
[pdf]





- Sphere Generative Adversarial Network Based on Geometric Moment Matching
Sung Woo Park and Junseok Kwon, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, Long beach, USA, 2019
[pdf] [code]





- Low-Complexity Online Model Selection with Lyapunov Control for Reward Maximization in Stabilized Real-Time Deep Learning Platforms
Dohyun Kim, Junseok Kwon, and Joongheon Kim International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan. 2018.
[pdf]



- Adaptive Patch based Convolutional Neural Network for Robust Dehazing
Guisik Kim, Suhyeon Ha, and Junseok Kwon, The 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 2018
[pdf]





- Robust Pixel-wise Dehazing Algorithm based on Advanced Haze-Relevant Features
Guisik Kim, and Junseok. Kwon, The 28th British Machine Vision Conference (BMCV), London, England. 2017.
[pdf]





- Multi-Object Tracker Using Kernelized Correlation Filter Based on Appearance and Motion Model
Kwang-yong Kim, Junseok. Kwon, and Kee-seong Cho, The 19th International Conference on Advanced Communications Technology, Pyeongchang, Korea. 2017.
[pdf]

- Fast generic object detection and localization on the basis of superpixel approach
Andrii Grygoriev, Hansung Lee, Junseok Kwon, Yusun Lim, and Youngki Hong, The 16th International Symposium on Advanced Intelligent Systems, Mokpo, Korea. 2015.
[pdf]

- Generic Object Detection and Localization Combining Saliency and Edge Visual Cues
Hansung Lee, Andrii Grygoriev, Yusun Lim, Youngki Hong, and Junseok Kwon, The 16th International Symposium on Advanced Intelligent Systems, Mokpo, Korea. 2015.
[pdf]

- Edge Fields for Robust Object Proposal
Junseok Kwon, Andrii Grygoriev, Yusun Lim, Youngki Hong, and Hansung Lee, The 16th International Symposium on Advanced Intelligent Systems, Mokpo, Korea. 2015.
[pdf]

- Appearances can be deceiving: Learning visual tracking from few trajectory annotations
Santiago Manen, Junseok Kwon, Matthieu Guillaumin, and Luc Van Gool, The 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland. 2014.
[pdf]





- Robust Visual Tracking with Double Bounding Box Model
Junseok Kwon, Junha Roh, Kyoung Mu Lee, and Luc Van Gool, The 13th European Conference on Computer Vision (ECCV), Zurich, Switzerland. 2014.
[pdf]





- Interval Tracker: Tracking by Interval Analysis
Junseok Kwon, and Kyoung Mu Lee, The 27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Ohio, USA. 2014.
[pdf]





- Visual Tracking using Joint Inference of Target State and Segment-based Appearance Models
Junha Roh, Dong Woo Park, Junseok Kwon, and Kyoung Mu Lee, Asia Pacific Signal and Information Processing Association Conference (APSIPA), Kaohsiung, Taiwan. 2013.
(Oral presentation)
[pdf]

- Minimum Uncertainty Gap for Robust Visual Tracking
Junseok Kwon, and Kyoung Mu Lee, The 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA. 2013.
[pdf]

- Robust Visual Tracking using Autoregressive Hidden Markov Model
Dong Woo Park, Junseok Kwon, and Kyoung Mu Lee, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA. 2012.
[pdf]





- A Unified Framework for Event Summarization and Rare Event Detection
Junseok Kwon, and Kyoung Mu Lee, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, USA. 2012.
[pdf]

- Tracking by Sampling Trackers
Junseok Kwon, and Kyoung Mu Lee, The 13th IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain. 2011.
(Oral presentation, 3.7% acceptance rate)
[project page]

- Visual Tracking Decomposition
Junseok Kwon, and Kyoung Mu Lee, The 23th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA. 2010.
(Oral presentation, 4.5% acceptance rate)
[project page]

- Simultaneous Video Synchronization and Rare Event Detection via Cross-EntropyMonte Carlo Optimization
Junseok Kwon, and Kyoung Mu Lee, The 12th IEEE International Conference on Computer Vision (ICCV) Workshop, Kyoto, Japan. 2009.
(Oral presentation)
[pdf]

- Tracking of a Non-Rigid Object via Patch-based Dynamic Appearance Modeling and Adaptive Basin Hopping Monte Carlo Sampling
Junseok Kwon, and Kyoung Mu Lee, The 22th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, USA. 2009.
[project page]

- Tracking of Abrupt Motion using Wang-Landau Monte Carlo Estimation
Junseok Kwon, and Kyoung Mu Lee, The 10th European Conference on Computer Vision (ECCV), Marseille, France. 2008.
[project page]




Patents

- Junseok Kwon and Kyoung Mu Lee. KOR Patent 1011077360000, Method for tracking object on visual (January, 2012)
- Junseok Kwon, Sungmin Cho,Jinwook Paeng, Chanil Kim, and Taehong Kim. KOR Patent 10-2018-0084266, Nose pattern recognition system and method based on deep learning (July, 2018)
- Sung Woo Park and Junseok Kwon. KOR Patent 10-2019-0011377, System and Method for Data Processing using Sphere Generative Adversarial Network Based on Geometric Moment Matching (Jan, 2019)
- Sung Woo Park and Junseok Kwon. KOR Patent 10-2019-0011369, System and Merhod for Log Euclidean Metric Learning using Riemannian Submanifold Framework on Symmetric Positive Definite Manifolds (Jan, 2019)
- Do-Hwi Kim, Sun Ho Lee, Sung Min Cho, Bo Won Choi, and Junseok Kwon. KOR Patent 10-2019-0020931, Method and apparatus for object recognition based on visible light and infrared fusion image (Feb, 2019)