Luis Herranz
Luis Herranz
Computer Vision Center, Barcelona
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Citado por
Citado por
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
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, 5962-5972, 2018
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
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
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
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
Depth cnns for rgb-d scene recognition: Learning from scratch better than transferring from rgb-cnns
X Song, L Herranz, S Jiang
arXiv preprint arXiv:1801.06797, 2018
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
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
Joint multi-feature spatial context for scene recognition on the semantic manifold
X Song, S Jiang, L Herranz
Proceedings of the IEEE conference on computer vision and pattern …, 2015
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
Modeling restaurant context for food recognition
L Herranz, S Jiang, R Xu
IEEE Transactions on Multimedia 19 (2), 430-440, 2016
A framework for scalable summarization of video
L Herranz, JM Martinez
IEEE Transactions on Circuits and Systems for Video Technology 20 (9), 1265-1270, 2010
Introducing CAIN: A metadata-driven content adaptation manager integrating heterogeneous content adaptation tools
JM Martínez, V Valdés, J Bescós, L Herranz
Proceedings of the WIAMIS, 2005
Mix and match networks: encoder-decoder alignment for zero-pair image translation
Y Wang, J van de Weijer, L Herranz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Rgb-d hand-held object recognition based on heterogeneous feature fusion
X Lv, SQ Jiang, L Herranz, S Wang
Journal of Computer Science and Technology 30 (2), 340-352, 2015
Content-driven adaptation of on-line video
J Bescós, JM Martínez, L Herranz, F Tiburzi
Signal Processing: Image Communication 22 (7-8), 651-668, 2007
Combining Models from Multiple Sources for RGB-D Scene Recognition.
X Song, S Jiang, L Herranz
IJCAI, 4523-4529, 2017
An integrated approach to summarization and adaptation using H. 264/MPEG-4 SVC
L Herranz, JM Martínez
Signal Processing: Image Communication 24 (6), 499-509, 2009
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
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