| Objaverse: A universe of annotated 3d objects M Deitke, D Schwenk, J Salvador, L Weihs, O Michel, E VanderBilt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 757 | 2023 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 451* | 2023 |
| Robothor: An open simulation-to-real embodied ai platform M Deitke, W Han, A Herrasti, A Kembhavi, E Kolve, R Mottaghi, J Salvador, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 280 | 2020 |
| 🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation M Deitke, E VanderBilt, A Herrasti, L Weihs, K Ehsani, J Salvador, W Han, ... Advances in Neural Information Processing Systems 35, 5982-5994, 2022 | 206 | 2022 |
| Naive bayes super-resolution forest J Salvador, E Perez-Pellitero Proceedings of the IEEE International conference on computer vision, 325-333, 2015 | 149 | 2015 |
| Non-parametric blur map regression for depth of field extension L D’Andrès, J Salvador, A Kochale, S Süsstrunk IEEE Transactions on Image Processing 25 (4), 1660-1673, 2016 | 77 | 2016 |
| Allenact: A framework for embodied ai research L Weihs, J Salvador, K Kotar, U Jain, KH Zeng, R Mottaghi, A Kembhavi arXiv preprint arXiv:2008.12760, 2020 | 61 | 2020 |
| Psyco: Manifold span reduction for super resolution E Pérez-Pellitero, J Salvador, J Ruiz-Hidalgo, B Rosenhahn Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 61 | 2016 |
| Bridging the imitation gap by adaptive insubordination L Weihs, U Jain, IJ Liu, J Salvador, S Lazebnik, A Kembhavi, A Schwing Advances in Neural Information Processing Systems 34, 19134-19146, 2021 | 36 | 2021 |
| Example-Based super resolution J Salvador Academic Press, 2016 | 25 | 2016 |
| Learning about objects by learning to interact with them M Lohmann, J Salvador, A Kembhavi, R Mottaghi Advances in Neural Information Processing Systems 33, 3930-3941, 2020 | 24 | 2020 |
| Method and apparatus for performing super-resolution J Salvador, A Kochale, S Schweidler US Patent 9,258,518, 2016 | 24 | 2016 |
| Method and device for generating a super-resolution version of a low resolution input data structure J Salvador, A Kochale, M Borsum US Patent 9,245,326, 2016 | 24 | 2016 |
| Image-based multi-view scene analysis using 'conexels' JR Casas, J Salvador Proceedings of the HCSNet workshop on Use of vision in human-computer …, 2006 | 22 | 2006 |
| Registros poblacionales de defectos congénitos en España J Salvador, S García-Miñaur, R Caballín, C Mosquera, N Baena, E García, ... Anales españoles de pediatría 48 (6), 575-582, 1998 | 22 | 1998 |
| Multi-person tracking strategies based on voxel analysis C Canton-Ferrer, J Salvador, JR Casas, M Pardàs International Evaluation Workshop on Rich Transcription, 91-103, 2007 | 21 | 2007 |
| Imitating shortest paths in simulation enables effective navigation and manipulation in the real world K Ehsani, T Gupta, R Hendrix, J Salvador, L Weihs, KH Zeng, KP Singh, ... arXiv preprint arXiv:2312.02976, 2023 | 18 | 2023 |
| Antipodally invariant metrics for fast regression-based super-resolution E Pérez-Pellitero, J Salvador, J Ruiz-Hidalgo, B Rosenhahn IEEE Transactions on Image Processing 25 (6), 2456-2468, 2016 | 17 | 2016 |
| Patch-based spatio-temporal super-resolution for video with non-rigid motion J Salvador, A Kochale, S Schweidler Signal Processing: Image Communication 28 (5), 483-493, 2013 | 16 | 2013 |
| Joint multi-view foreground segmentation and 3d reconstruction with tolerance loop J Gallego, J Salvador, JR Casas, M Pardas 2011 18th IEEE International Conference on Image Processing, 997-1000, 2011 | 16 | 2011 |
Eduardo Pérez-PelliteroSenior Research ScientistEmail verificata su huawei.com