| Learning cross-modal embeddings for cooking recipes and food images A Salvador, N Hynes, Y Aytar, J Marin, F Ofli, I Weber, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 692 | 2017 |
| Rvos: End-to-end recurrent network for video object segmentation C Ventura, M Bellver, A Girbau, A Salvador, F Marques, X Giro-i-Nieto Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 266 | 2019 |
| Bags of local convolutional features for scalable instance search E Mohedano, K McGuinness, NE O'Connor, A Salvador, F Marques, ... Proceedings of the 2016 ACM on international conference on multimedia …, 2016 | 202 | 2016 |
| Inverse cooking: Recipe generation from food images A Salvador, M Drozdzal, X Giró-i-Nieto, A Romero Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 177 | 2019 |
| Faster r-cnn features for instance search A Salvador, X Giró-i-Nieto, F Marqués, S Satoh Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 168 | 2016 |
| Temporal activity detection in untrimmed videos with recurrent neural networks A Montes, A Salvador, S Pascual, X Giro-i-Nieto arXiv preprint arXiv:1608.08128, 2016 | 135 | 2016 |
| Diving deep into sentiment: Understanding fine-tuned CNNs for visual sentiment prediction V Campos, A Salvador, X Giró-i-Nieto, B Jou Proceedings of the 1st International Workshop on Affect & Sentiment in …, 2015 | 104 | 2015 |
| WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks. AC Duarte, F Roldan, M Tubau, J Escur, S Pascual, A Salvador, ... ICASSP 2019, 8633-8637, 2019 | 97 | 2019 |
| Recurrent neural networks for semantic instance segmentation A Salvador, M Bellver, V Campos, M Baradad, F Marques, J Torres, ... arXiv preprint arXiv:1712.00617, 2017 | 84 | 2017 |
| Cross-modal embeddings for video and audio retrieval D Surís, A Duarte, A Salvador, J Torres, X Giró-i-Nieto Proceedings of the european conference on computer vision (eccv) workshops, 0-0, 2018 | 83 | 2018 |
| Revamping cross-modal recipe retrieval with hierarchical transformers and self-supervised learning A Salvador, E Gundogdu, L Bazzani, M Donoser Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 70 | 2021 |
| Recipe1m+: A dataset for learning cross-modal embeddings for cooking recipes and food images J Marın, A Biswas, F Ofli, N Hynes, A Salvador, Y Aytar, I Weber, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (1), 187-203, 2021 | 63 | 2021 |
| Cultural event recognition with visual convnets and temporal models A Salvador, M Zeppelzauer, D Manchon-Vizuete, A Calafell, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 38 | 2015 |
| Budget-aware semi-supervised semantic and instance segmentation M Bellver Bueno, A Salvador Aguilera, J Torres Viñals, X Giró Nieto The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 32 | 2019 |
| Click'n'cut: Crowdsourced interactive segmentation with object candidates A Carlier, V Charvillat, A Salvador, X Giro-i-Nieto, O Marques Proceedings of the 2014 International ACM Workshop on Crowdsourcing for …, 2014 | 27 | 2014 |
| Crowdsourced object segmentation with a game A Salvador, A Carlier, X Giro-i-Nieto, O Marques, V Charvillat Proceedings of the 2nd ACM international workshop on Crowdsourcing for …, 2013 | 23 | 2013 |
| Assessment of crowdsourcing and gamification loss in user-assisted object segmentation A Carlier, A Salvador, F Cabezas, X Giro-i-Nieto, V Charvillat, O Marques Multimedia tools and applications 75, 15901-15928, 2016 | 21 | 2016 |
| Quality control in crowdsourced object segmentation F Cabezas, A Carlier, V Charvillat, A Salvador, X Giro-i-Nieto 2015 IEEE International Conference on Image Processing (ICIP), 4243-4247, 2015 | 16 | 2015 |
| Exploring EEG for object detection and retrieval E Mohedano, K McGuinness, G Healy, NE O'Connor, AF Smeaton, ... Proceedings of the 5th ACM on international conference on multimedia …, 2015 | 15 | 2015 |
| Elucidating image-to-set prediction: An analysis of models, losses and datasets L Pineda, A Salvador, M Drozdzal, A Romero arXiv preprint arXiv:1904.05709, 2019 | 14 | 2019 |
Xavier Giró-i-NietoAmazon Science BarcelonaVerified email at amazon.es
