Junseok Kwon 个人学术档案 - 学术资源搜索

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Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National University在 snu.ac.kr 的电子邮件经过验证
Sungwoo ParkUC Berkeley在 berkeley.edu 的电子邮件经过验证
Guisik KimKorea Electronics Technology Institute (KETI)在 keti.re.kr 的电子邮件经过验证
Dong Wook Shu在 cau.ac.kr 的电子邮件经过验证
Janghoon ChoiKyungpook National University在 knu.ac.kr 的电子邮件经过验证
sungmin choSchool of Computer Science and Engineering, Chung-Ang University在 cau.ac.kr 的电子邮件经过验证
Luc Van Goolprofessor computer vision INSAIT Sofia University, KU Leuven, em. ETHZ, Toyota Lab TRACE在 insait.ai 的电子邮件经过验证
Dokyeong KwonSchool of Computer Science and Engineering Chung-Ang University Seoul, Korea在 cau.ac.kr 的电子邮件经过验证
Suhyeon HaSchool of Computing, KAIST在 kaist.ac.kr 的电子邮件经过验证
Raehyuk JungTwelvelabs AI research scientist在 yhat-ai.com 的电子邮件经过验证
Junha RohUniversity of Washington在 cs.washington.edu 的电子邮件经过验证
Kyungjae LeeChung-Ang University在 cau.ac.kr 的电子邮件经过验证
Ralf DragonComputer Vision Lab在 vision.ee.ethz.ch 的电子邮件经过验证
Jinwook PaengChung-Ang University在 cau.ac.kr 的电子邮件经过验证
Radu TimofteHumboldt Professor for AI and Computer Vision, University of Würzburg在 uni-wuerzburg.de 的电子邮件经过验证
Sungyong BaikHanyang University在 hanyang.ac.kr 的电子邮件经过验证
Hansung LeeAssistant Professor, Andong National University在 anu.ac.kr 的电子邮件经过验证
Hyeseong KimChung-Ang University在 cau.ac.kr 的电子邮件经过验证
Matthieu GuillauminSr Computer Vision Scientist, Amazon ML Berlin在 guillaum.in 的电子邮件经过验证
Santiago ManénPhD student at Computer Vision Lab ETH Zurich在 vision.ee.ethz.ch 的电子邮件经过验证

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Junseok Kwon

Chung-Ang University

在 cau.ac.kr 的电子邮件经过验证 - 首页

Computer Vision Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Visual tracking decomposition J Kwon, KM Lee Computer Vision and Pattern Recognition (CVPR) 2010, 1269-1276, 2010	1537	2010
Tracking by Sampling Trackers J Kwon, KM Lee International Conference on Computer Vision (ICCV), 2011, 1195-1202, 2011	516	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	316	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	294	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	118	2019
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
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	103	2013
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	81	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	60	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	52	2012
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	44	2019
Sphere Generative Adversarial Network Based on Geometric Moment Matching SW Park, J Kwon Computer Vision and Pattern Recognition (CVPR), 2019	44	2019
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	36	2015
Pixel-wise Wasserstein Autoencoder for Highly Generative Dehazing G Kim, SW Park, J Kwon IEEE Transaction on Image Processing (TIP), 2021	32	2021
DALE: Dark Region-Aware Low-light Image Enhancement D Kwon, G Kim, J Kwon The 31st British Machine Vision Conference (BMVC), 2020	27	2020
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
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data SW Park, K Lee, J Kwon International Conference on Learning Representations (ICLR), 2022	23	2022

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