| Shallow and deep convolutional networks for saliency prediction J Pan, E Sayrol, X Giro-i-Nieto, K McGuinness, NE O'Connor Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 509 | 2016 |
| Salgan: Visual saliency prediction with generative adversarial networks J Pan, CC Ferrer, K McGuinness, NE O'Connor, J Torres, E Sayrol, ... arXiv preprint arXiv:1701.01081, 2017 | 423 | 2017 |
| Motion estimation based tracking of active contours M Pardàs, E Sayrol Pattern recognition letters 22 (13), 1447-1456, 2001 | 72 | 2001 |
| Salgan: Visual saliency prediction with adversarial networks J Pan, E Sayrol, XG Nieto, CC Ferrer, J Torres, K McGuinness, ... CVPR scene understanding workshop (SUNw), 2017 | 47 | 2017 |
| 3d convolutional networks for brain tumor segmentation A Casamitjana, S Puch, A Aduriz, E Sayrol, V Vilaplana Proceedings of the MICCAI challenge on multimodal brain tumor image …, 2016 | 47 | 2016 |
| Optimum watermark detection in color images E Sayrol, J Vidal, S Cabanillas, S Santamaria Proceedings 1999 International Conference on Image Processing (Cat …, 1999 | 40 | 1999 |
| Motion estimation using higher order statistics E Sayrol, A Gasull, JR Fonollosa IEEE transactions on image processing 5 (6), 1077-1084, 1996 | 34 | 1996 |
| Leishmaniasis parasite segmentation and classification using deep learning M Górriz, A Aparicio, B Raventós, V Vilaplana, E Sayrol, D López-Codina Articulated Motion and Deformable Objects: 10th International Conference …, 2018 | 30 | 2018 |
| A new approach to tracking with active contours M Pardas, E Sayrol Proceedings 2000 International Conference on Image Processing (Cat. No …, 2000 | 30 | 2000 |
| Xavier and Giro-i Nieto J Pan, C Canton, K McGuinness, NE O’Connor, J Torres, E Sayrol Salgan: Visual saliency prediction with generative adversarial networks. In …, 2017 | 20 | 2017 |
| Color image watermarking using channel-state knowledge J Vidal, M Madueño, E Sayrol Security and watermarking of multimedia contents IV 4675, 214-221, 2002 | 15 | 2002 |
| Optimum watermark detection and embedding in digital images J Vidal, E Sayrol 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No. 98EX175 …, 1998 | 15 | 1998 |
| Proceso de inversión de competencias genéricas en los nuevos planes de estudios de grado de la ETSETB de acuerdo con el modelo CDIO E Sayrol Clols, J Sardà Ferrer, G Sáez Moreno, R Bragós Bardia, ... IX Congreso de Tecnologías Aplicadas a la Enseñanza de la Electrónica, 1-9, 2010 | 10 | 2010 |
| Graphical study of signals and systems E Sayrol, A Gasull, J Salavedra, A Moreno, F Vallverdú 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 8 | 2001 |
| Image restoration using the W-slice method E Sayrol, CL Nikias, A Gasull IEEE Transactions on image processing 4 (8), 1174-1181, 1995 | 8 | 1995 |
| Multimedia copyright protection platform demonstrator M Soriano, M Fernandez, E Sayrol, J Tomas, J Casanellas, J Pegueroles, ... Trust Management: Third International Conference, iTrust 2005, Paris, France …, 2005 | 7 | 2005 |
| Upc system for the 2015 mediaeval multimodal person discovery in broadcast tv task MÀ India Massana Universitat Politècnica de Catalunya, 2015 | 6 | 2015 |
| Designing CDIO capstone projects: a systems thinking approach EJ Alarcón Cot, E Bou Balust, AJ Camps Carmona, R Bragós Bardia, ... Proceedings of the 9th International CDIO Conference, Massachusetts …, 2013 | 6 | 2013 |
| Mixed integration of CDIO skills into telecommunication engineering curricula E Sayrol, R Bragós, E Alarcón, M Cabrera, A Calveras, J Comellas, ... Elektronika ir elektrotechnika 102 (6), 127-130, 2010 | 6 | 2010 |
| Shallow and deep convolutional networks for saliency prediction. CoRR abs/1603.00845 (2016) J Pan, K McGuinness, E Sayrol, NE O’Connor, XG i Nieto | 5 | 2016 |
