Junseok Kwon

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Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
Sungwoo ParkUC BerkeleyVerified email at berkeley.edu
Guisik KimKorea Electronics Technology Institute (KETI)Verified email at keti.re.kr
Dong Wook ShuVerified email at cau.ac.kr
Janghoon ChoiKyungpook National UniversityVerified email at knu.ac.kr
sungmin choSchool of Computer Science and Engineering, Chung-Ang UniversityVerified email at cau.ac.kr
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
Dokyeong KwonSchool of Computer Science and Engineering Chung-Ang University Seoul, KoreaVerified email at cau.ac.kr
Suhyeon HaSchool of Computing, KAISTVerified email at kaist.ac.kr
Raehyuk JungTwelvelabs AI research scientistVerified email at yhat-ai.com
Kyungjae LeeKorea UniversityVerified email at korea.ac.kr
Junha RohUniversity of WashingtonVerified email at cs.washington.edu
Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgVerified email at uni-wuerzburg.de
Ralf DragonComputer Vision LabVerified email at vision.ee.ethz.ch
Jinwook PaengChung-Ang UniversityVerified email at cau.ac.kr
Sungyong BaikHanyang UniversityVerified email at hanyang.ac.kr
Hansung LeeAssociate Professor, Andong National UniversityVerified email at anu.ac.kr
Hyeseong KimChung-Ang UniversityVerified email at cau.ac.kr
Matthieu GuillauminSr Computer Vision Scientist, Amazon ML BerlinVerified email at guillaum.in
Santiago ManénPhD student at Computer Vision Lab ETH ZurichVerified email at vision.ee.ethz.ch

Junseok Kwon

Chung-Ang University

Verified email at cau.ac.kr - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Visual tracking decomposition J Kwon, KM Lee Computer Vision and Pattern Recognition (CVPR) 2010, 1269-1276, 2010	1540	2010
Tracking by Sampling Trackers J Kwon, KM Lee International Conference on Computer Vision (ICCV), 2011, 1195-1202, 2011	518	2011
3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions DW Shu, SW Park, J Kwon International Conference on Computer Vision (ICCV) 2019, 2019	337	2019
Tracking of a non-rigid object via patch-based dynamic appearance modeling and adaptive basin hopping monte carlo sampling J Kwon, KM Lee Computer Vision and Pattern Recognition (CVPR), 2009, 1208-1215, 2009	295	2009
Deep Meta Learning for Real-Time Target-Aware Visual Tracking J Choi, J Kwon, KM Lee International Conference on Computer Vision (ICCV) 2019, 2019	121	2019
Highly Non-Rigid Object Tracking via Patch-based Dynamic Appearance Modeling J Kwon, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 35 …, 2013	105	2013
Tracking of abrupt motion using Wang-Landau Monte Carlo estimation J Kwon, KM Lee European Conference on Computer Vision (ECCV) 2008, 387-400, 2008	104	2008
Wang-Landau monte carlo-based tracking methods for abrupt motions J Kwon, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 35 (4 …, 2013	83	2013
Tracking by Sampling and Integrating Multiple Trackers J Kwon, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 36 (7 …, 2014	79	2014
A unified framework for event summarization and rare event detection. J Kwon, KM Lee Computer Vision and Pattern Recognition (CVPR), 2012, 1266-1273, 2012	66	2012
Real-time Visual Tracking by Deep Reinforced Decision Making J Choi, J Kwon, KM Lee Computer Vision and Image Understanding (CVIU) 171, 10-19, 2018	62	2018
Visual tracking by reinforced decision making J Choi, J Kwon, KM Lee ArXiv, 2017	53	2017
Robust Visual Tracking using Autoregressive Hidden Markov Model DW Park, J Kwon, KM Lee Computer Vision and Pattern Recognition (CVPR), 2012, 2012	53	2012
Sphere Generative Adversarial Network Based on Geometric Moment Matching SW Park, J Kwon Computer Vision and Pattern Recognition (CVPR), 2019	47	2019
LOW-LIGHTGAN: Low-Light Enhancement via Advanced Generative Adversarial Network with Task-Driven Training G Kim, D Kwon, J Kwon The 26th IEEE International Conference on Image Processing (ICIP), 2019	45	2019
Pixel-wise Wasserstein Autoencoder for Highly Generative Dehazing G Kim, SW Park, J Kwon IEEE Transaction on Image Processing (TIP), 2021	41	2021
A Unified Framework for Event Summarization and Rare Event Detection from Multiple Views J Kwon, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 37 (9 …, 2015	37	2015
DALE: Dark Region-Aware Low-light Image Enhancement D Kwon, G Kim, J Kwon The 31st British Machine Vision Conference (BMVC), 2020	28	2020
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data SW Park, K Lee, J Kwon International Conference on Learning Representations (ICLR), 2022	27	2022
Robust visual tracking with double bounding box model J Kwon, J Roh, KM Lee, L Van Gool European conference on computer vision (ECCV), 377-392, 2014	25	2014

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