| 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 | 117 | 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 | 73 | 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 | 56 | 2015 |
| 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 | 53 | 2018 |
| 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 | 50 | 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 | 48 | 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 | 41 | 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 | 36 | 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 | 31 | 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 | 31 | 2015 |
| Modeling restaurant context for food recognition L Herranz, S Jiang, R Xu IEEE Transactions on Multimedia 19 (2), 430-440, 2016 | 29 | 2016 |
| 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 | 28 | 2017 |
| 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 | 28 | 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 | 26 | 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 | 20 | 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 | 18 | 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 | 18 | 2007 |
| Combining Models from Multiple Sources for RGB-D Scene Recognition. X Song, S Jiang, L Herranz IJCAI, 4523-4529, 2017 | 16 | 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 | 16 | 2009 |
| Image captioning with both object and scene information X Li, X Song, L Herranz, Y Zhu, S Jiang Proceedings of the 24th ACM international conference on Multimedia, 1107-1110, 2016 | 15 | 2016 |
Shuqiang JiangInstitute of Computing Technology, Chinese Academy of SciencesVerifierad e-postadress på ict.ac.cn
