| 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 | 576 | 2017 |
| Virtual and real world adaptation for pedestrian detection D Váquez, AM López, J Marín, D Ponsa, D Gerónimo IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (4), 797-809, 2014 | 242 | 2014 |
| Learning appearance in virtual scenarios for pedestrian detection J Marín, D Vázquez, D Gerónimo, AM López Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 137-144, 2010 | 232 | 2010 |
| Random forests of local experts for pedestrian detection J Marín, D Vázquez, AM López, J Amores, B Leibe Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2013 | 179 | 2013 |
| Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media IW Enes Kocabey, Mustafa Camurcu, Ferda Ofli, Yusuf Aytar, Javier Marin ... International AAAI Conference on Web and Social Media, 2017 | 89 | 2017 |
| Occlusion handling via random subspace classifiers for human detection J Marín, D Vázquez, AM López, J Amores, LI Kuncheva IEEE Transactions on Systems, Man, and Cybernetics, Part B 44 (3), 342-354, 2014 | 66 | 2014 |
| Learning a part-based pedestrian detector in a virtual world J Xu, D Vázquez, AM López, J Marín, D Ponsa IEEE Transactions on Intelligent Transportation Systems 15 (5), 2121-2131, 2014 | 65 | 2014 |
| 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 | 37 | 2021 |
| Cool world: domain adaptation of virtual and real worlds for human detection using active learning D Vázquez, AM López, D Ponsa, J Marin Advances in Neural Information Processing Systems–Workshop on Domain …, 2011 | 27 | 2011 |
| Virtual worlds and active learning for human detection D Vázquez, AM López, D Ponsa, J Marín Proceedings of the 13th international conference on multimodal interfaces …, 2011 | 21 | 2011 |
| Using computer vision to study the effects of BMI on online popularity and weight-based homophily E Kocabey, F Ofli, J Marin, A Torralba, I Weber International Conference on Social Informatics, 129-138, 2018 | 17 | 2018 |
| Training my car to see using virtual worlds AM López, G Villalonga, L Sellart, G Ros, D Vázquez, J Xu, J Marin, ... Image and Vision Computing 68, 102-118, 2017 | 15 | 2017 |
| Aggregated channels network for real-time pedestrian detection F Ghorban, J Marín, Y Su, A Colombo, A Kummert Tenth International Conference on Machine Vision (ICMV 2017) 10696, 106960I, 2018 | 11 | 2018 |
| Machine Learning for a Parkinson’s prognosis and diagnosis system based on EEG A Soria-Frisch, J Marín, D Ibañez, S Dunne, C Grau, G Ruffini, ... International Pharmaco-EEG Society Meeting IPEG, 2014 | 7 | 2014 |
| Learning a multiview part-based model in virtual world for pedestrian detection J Xu, D Vázquez, AM López, J Marin, D Ponsa Intelligent Vehicles Symposium (IV), 2013 IEEE, 467-472, 2013 | 6 | 2013 |
| SSSGAN: Satellite Style and Structure Generative Adversarial Networks J Marín, S Escalera Remote Sensing 13 (19), 3984, 2021 | 5 | 2021 |
| Advanced Machine Learning for classification of EEG traits as Parkinson’s biomarker J Marín, A Soria-Frisch, D Ibáñez, S Dunne, C Grau, G Ruffini, ... Frontiers in Neuroinformatics, 2014 | 5 | 2014 |
| IQUAFLOW: A new framework to measure image quality P Gallés, K Takats, M Hernández-Cabronero, D Berga, L Pega, ... arXiv preprint arXiv:2210.13269, 2022 | 2 | 2022 |
| Object Detection performance variation on compressed satellite image datasets with iquaflow P Gallés, K Takats, J Marin arXiv preprint arXiv:2301.05892, 2023 | 1 | 2023 |
| Pedestrian Detection: Exploring Virtual Worlds J Marín, D Gerónimo, D Vázquez, AM López | 1 | |
David VázquezServiceNow Research, ELLIS memberПотвърден имейл адрес: servicenow.com
