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
José M. MartínezUniversidad Autónoma de Madrid,Universidad Politécnica de MadridVerified email at uam.es
Xialei Liu 刘夏雷Associate Professor, Nankai UniversityVerified email at nankai.edu.cn
kai wangcomputer vision center, UABVerified email at cvc.uab.es
Abel Gonzalez-GarciaSenior Computer Vision Scientist, Hinge HealthVerified email at cvc.uab.es
Chenshen WuUniversitat Autònoma de BarcelonaVerified email at cvc.uab.es
Bogdan RaducanuComputer Vision CenterVerified email at cvc.uab.es
Marc MasanaInstitute of Computer Graphics and Vision, Graz University of TechnologyVerified email at icg.tugraz.at
Andrew D. BagdanovAssociate Professor, University of Florence, ItalyVerified email at unifi.it
Shiqi YangPh.D. Candidate, Computer Vision Center, Autonomous University of BarcelonaVerified email at cvc.uab.es
Xiangyang LiInstitute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Fei YangUniversitat Autònoma de BarcelonaVerified email at cvc.uab.es
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
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

Computer Vision Center, Barcelona

Verified email at cvc.uab.es - Homepage

computer vision machine learning artificial intelligence multimedia


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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	318	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	230	2018
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	208	2016
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	196	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	172	2020
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	134	2020
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	100	2017
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	100	2016
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	97	2021
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	97	2015
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	86	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	78	2017
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	76	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	65	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	62	2017
Modeling restaurant context for food recognition L Herranz, S Jiang, R Xu IEEE Transactions on Multimedia 19 (2), 430-440, 2016	57	2016
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	56	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	54	2020
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	49	2018
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	38	2021

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