Joost van de Weijer

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引用	24701	14588
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Fahad Shahbaz KhanMBZUAI, Linköping University Sweden在 cvc.uab.es 的电子邮件经过验证
Andrew D. BagdanovAssociate Professor, University of Florence, Italy在 unifi.it 的电子邮件经过验证
Theo GeversComputer Vision Research Group, University of Amsterdam (UvA); 3DUniversum在 uva.nl 的电子邮件经过验证
Bogdan RaducanuComputer Vision Center在 cvc.uab.es 的电子邮件经过验证
Bartłomiej TwardowskiComputer Vision Center UAB, IDEAS NCBR在 cvc.uab.es 的电子邮件经过验证
Xialei Liu 刘夏雷Associate Professor, Nankai University在 nankai.edu.cn 的电子邮件经过验证
Yaxing WangAssociate professor, Nankai University在 cvc.uab.es 的电子邮件经过验证
Marc MasanaInstitute of Computer Graphics and Vision, Graz University of Technology在 icg.tugraz.at 的电子邮件经过验证
Abel Gonzalez-GarciaStaff Computer Vision Scientist, Hinge Health在 cvc.uab.es 的电子邮件经过验证
Kai WangCVC, UAB在 cvc.uab.es 的电子邮件经过验证
Cordelia SchmidResearch director INRIA 在 inria.fr 的电子邮件经过验证
Arjan GijsenijAkzoNobel Decorative Coatings在 akzonobel.com 的电子邮件经过验证
Michael FelsbergProfessor of Computer Vision, Linköping University在 liu.se 的电子邮件经过验证
Antonio Manuel López PeñaProfessor Comp. Science, ICREA Academia; CVC (RoR: 00s0nnj93) at Univ. Autònoma de Barcelona (UAB)在 cvc.uab.es 的电子邮件经过验证
Rao Muhammad AnwerMohamed bin Zayed University of Artificial Intelligence (MBZUAI)在 aalto.fi 的电子邮件经过验证
Shiqi YangResearch Scientist, SB Intuitions, SoftBank在 sbintuitions.co.jp 的电子邮件经过验证
LU YU （余璐）Associate Professor, Tianjin University of Technology在 cvc.uab.es 的电子邮件经过验证
Maria VanrellComputer Vision Center - Universitat Autònoma de Barcelona在 uab.cat 的电子邮件经过验证
Jan-Mark GeusebroekAssistant Professor, University of Amsterdam在 uva.nl 的电子邮件经过验证
Martin DanelljanResearcher, ETH Zurich在 vision.ee.ethz.ch 的电子邮件经过验证

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Joost van de Weijer

Computer Vision Center, Universitat Autònoma de Barcelona

在 cvc.uab.es 的电子邮件经过验证 - 首页

Computer Vision Deep Learning Continual 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
Adaptive color attributes for real-time visual tracking M Danelljan, F Shahbaz Khan, M Felsberg, J Van de Weijer CVPR, 2014	2006	2014
Edge-based color constancy J Van De Weijer, T Gevers, A Gijsenij IEEE Transactions on Image Processing 16 (9), 2207-2214, 2007	1199	2007
The sixth visual object tracking vot2018 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... ECCVW, 2018	1016	2018
Invertible Conditional GANs for image editing G Perarnau, J van de Weijer, B Raducanu, JM Álvarez NIPS 2016 Workshop on Adversarial Training, 2016	986	2016
Learning color names for real-world applications J Van De Weijer, C Schmid, J Verbeek, D Larlus IEEE Transactions on Image Processing 18 (7), 1512-1523, 2009	906	2009
Class-incremental learning: survey and performance evaluation on image classification M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, ... TPAMI 45 (5), 5513-5533, 2022	803	2022
Computational color constancy: Survey and experiments A Gijsenij, T Gevers, J Van De Weijer IEEE transactions on image processing 20 (9), 2475-2489, 2011	732	2011
Coloring local feature extraction J Van De Weijer, C Schmid ECCV, 2006	631	2006
The seventh visual object tracking vot2019 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ... ICCVW, 2019	592	2019
RankIQA: Learning from Rankings for No-reference Image Quality Assessment X Liu, J van de Weijer, AD Bagdanov ICCV, 2017	557	2017
Memory Replay GANs: Learning to Generate New Categories without Forgetting C Wu, L Herranz, X Liu, J van de Weijer, B Raducanu NeurIPS, 2018	477	2018
Image-to-image translation for cross-domain disentanglement A Gonzalez-Garcia, J van de Weijer, Y Bengio NeurIPS, 2018	471	2018
Fast anisotropic gauss filtering JM Geusebroek, AWM Smeulders, J Van De Weijer IEEE transactions on image processing 12 (8), 938-943, 2003	457	2003
Learning the Model Update for Siamese Trackers L Zhang, A Gonzalez-Garcia, J van de Weijer, M Danelljan, FS Khan ICCV, 2019	449	2019
Boosting color saliency in image feature detection J Van De Weijer, T Gevers, AD Bagdanov IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (1), 150-156, 2006	443	2006
Color attributes for object detection FS Khan, RM Anwer, J Van De Weijer, AD Bagdanov, M Vanrell, ... CVPR, 2012	409	2012
Semantic Drift Compensation for Class-Incremental Learning L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, ... CVPR, 2020	406*	2020
Transferring GANs: generating images from limited data Y Wang, C Wu, L Herranz, J van de Weijer, A Gonzalez-Garcia, ... ECCV, 2018	372	2018
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank X Liu, J van de Weijer, AD Bagdanov CVPR, 2018	336	2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting X Liu, M Masana, L Herranz, J Van de Weijer, AM Lopez, AD Bagdanov ICPR, 2018	326	2018

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