Luis Herranz

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Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Shuqiang JiangInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Yaxing WangAssociate professor, Nankai UniversityVerified email at cvc.uab.es
Xinhang Song中国科学院计算技术研究所，副研究员 (Associate Professor)Verified email at vipl.ict.ac.cn
Xialei Liu 刘夏雷Associate Professor, Nankai UniversityVerified email at nankai.edu.cn
José M. Martínez (ORCID: 0000-0002-...Universidad Autónoma de Madrid,Universidad Politécnica de MadridVerified email at uam.es
Fei YangNankai UniversityVerified email at cvc.uab.es
Abel Gonzalez-GarciaStaff Computer Vision Scientist, Hinge HealthVerified email at cvc.uab.es
Kai WangCVC, UABVerified email at cvc.uab.es
Chenshen WuUniversitat Autònoma de BarcelonaVerified email at cvc.uab.es
Shiqi YangResearch Scientist, SonyVerified email at sony.com
Bogdan RaducanuComputer Vision CenterVerified email at cvc.uab.es
Andrew D. BagdanovAssociate Professor, University of Florence, ItalyVerified email at unifi.it
Marc MasanaInstitute of Computer Graphics and Vision, Graz University of TechnologyVerified email at icg.tugraz.at
Antonio Manuel López PeñaProfessor Computer Science, ICREA Academia; DCC & CVC at Univ. Autònoma de Barcelona (UAB)Verified email at cvc.uab.es
Xiangyang LiAssitant Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Weiqing MinAssociate Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Ramesh JainProfessor of Computer Science, University of California, IrvineVerified email at ics.uci.edu
Janko CalicLead R&D Engineer, BBC Research and DevelopmentVerified email at bbc.co.uk
Shuhui Wang（王树徽）Professor, Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn

Luis Herranz

Universidad Autónoma de Madrid

Verified email at cvc.uab.es - Homepage

computer vision machine learning artificial intelligence multimedia


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Memory replay gans: Learning to generate new categories without forgetting C Wu, L Herranz, X Liu, J Van De Weijer, B Raducanu Advances in neural information processing systems 31, 2018	441	2018
Transferring gans: generating images from limited data Y Wang, C Wu, L Herranz, J Van de Weijer, A Gonzalez-Garcia, ... Proceedings of the European conference on computer vision (ECCV), 218-234, 2018	344	2018
Semantic drift compensation for class-incremental learning L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, J Weijer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	333	2020
Rotate your networks: Better weight consolidation and less catastrophic forgetting X Liu, M Masana, L Herranz, J Van de Weijer, AM Lopez, AD Bagdanov 2018 24th International Conference on Pattern Recognition (ICPR), 2262-2268, 2018	298	2018
Generalized source-free domain adaptation S Yang, Y Wang, J Van De Weijer, L Herranz, S Jui Proceedings of the IEEE/CVF international conference on computer vision …, 2021	276	2021
Exploiting the intrinsic neighborhood structure for source-free domain adaptation S Yang, J Van de Weijer, L Herranz, S Jui Advances in neural information processing systems 34, 29393-29405, 2021	256	2021
Scene recognition with cnns: objects, scales and dataset bias L Herranz, S Jiang, X Li Proceedings of the IEEE conference on computer vision and pattern …, 2016	243	2016
Minegan: effective knowledge transfer from gans to target domains with few images Y Wang, A Gonzalez-Garcia, D Berga, L Herranz, FS Khan, J Weijer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	205	2020
Generative feature replay for class-incremental learning X Liu, C Wu, M Menta, L Herranz, B Raducanu, AD Bagdanov, S Jui, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	157	2020
Being a supercook: Joint food attributes and multimodal content modeling for recipe retrieval and exploration W Min, S Jiang, J Sang, H Wang, X Liu, L Herranz IEEE transactions on multimedia 19 (5), 1100-1113, 2016	127	2016
LIUM-CVC submissions for WMT17 multimodal translation task O Caglayan, W Aransa, A Bardet, M García-Martínez, F Bougares, ... arXiv preprint arXiv:1707.04481, 2017	111	2017
Geolocalized modeling for dish recognition R Xu, L Herranz, S Jiang, S Wang, X Song, R Jain IEEE transactions on multimedia 17 (8), 1187-1199, 2015	111	2015
Variable rate deep image compression with modulated autoencoder F Yang, L Herranz, J Van De Weijer, JAI Guitián, AM López, MG Mozerov IEEE Signal Processing Letters 27, 331-335, 2020	101	2020
Unsupervised domain adaptation without source data by casting a bait S Yang, Y Wang, J Van De Weijer, L Herranz, S Jui arXiv preprint arXiv:2010.12427 1 (2), 5, 2020	96	2020
Depth CNNs for RGB-D scene recognition: Learning from scratch better than transferring from RGB-CNNs X Song, L Herranz, S Jiang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017	88	2017
Slimmable compressive autoencoders for practical neural image compression F Yang, L Herranz, Y Cheng, MG Mozerov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	77	2021
Multi-scale multi-feature context modeling for scene recognition in the semantic manifold X Song, S Jiang, L Herranz IEEE Transactions on Image Processing 26 (6), 2721-2735, 2017	74	2017
Domain-adaptive deep network compression M Masana, J Van De Weijer, L Herranz, AD Bagdanov, JM Alvarez Proceedings of the IEEE International Conference on Computer Vision, 4289-4297, 2017	74	2017
Modeling restaurant context for food recognition L Herranz, S Jiang, R Xu IEEE Transactions on Multimedia 19 (2), 430-440, 2016	65	2016
Learning effective RGB-D representations for scene recognition X Song, S Jiang, L Herranz, C Chen IEEE Transactions on Image Processing 28 (2), 980-993, 2018	62	2018

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