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Luis Herranz
Luis Herranz
Universidad Autónoma de Madrid
Verified email at cvc.uab.es - Homepage
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
3902018
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
3032018
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
2562020
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
2422018
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
2322016
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
1932021
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
1812020
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
1722021
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
1182020
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
1152016
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
1082015
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
1072017
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
862017
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
842020
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
812020
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
722017
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
702017
Modeling restaurant context for food recognition
L Herranz, S Jiang, R Xu
IEEE Transactions on Multimedia 19 (2), 430-440, 2016
632016
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
602021
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
532018
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