| Lift: Learned invariant feature transform KM Yi, E Trulls, V Lepetit, P Fua Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1150 | 2016 |
| Discriminative learning of deep convolutional feature point descriptors E Simo-Serra, E Trulls, L Ferraz, I Kokkinos, P Fua, F Moreno-Noguer Proceedings of the IEEE international conference on computer vision, 118-126, 2015 | 955 | 2015 |
| LF-Net: Learning local features from images Y Ono, E Trulls, P Fua, KM Yi Advances in neural information processing systems 31, 2018 | 439 | 2018 |
| Learning to find good correspondences KM Yi, E Trulls, Y Ono, V Lepetit, M Salzmann, P Fua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 432 | 2018 |
| Image matching across wide baselines: From paper to practice Y Jin, D Mishkin, A Mishchuk, J Matas, P Fua, KM Yi, E Trulls International Journal of Computer Vision 129 (2), 517-547, 2021 | 209 | 2021 |
| Cotr: Correspondence transformer for matching across images W Jiang, E Trulls, J Hosang, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 124 | 2021 |
| DISK: Learning local features with policy gradient M Tyszkiewicz, P Fua, E Trulls Advances in Neural Information Processing Systems 33, 14254-14265, 2020 | 118 | 2020 |
| Acne: Attentive context normalization for robust permutation-equivariant learning W Sun, W Jiang, E Trulls, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 113 | 2020 |
| Beyond cartesian representations for local descriptors P Ebel, A Mishchuk, KM Yi, P Fua, E Trulls Proceedings of the IEEE/CVF international conference on computer vision, 253-262, 2019 | 86 | 2019 |
| Learning to match aerial images with deep attentive architectures H Altwaijry, E Trulls, J Hays, P Fua, S Belongie Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 85 | 2016 |
| Dense segmentation-aware descriptors E Trulls, I Kokkinos, A Sanfeliu, F Moreno-Noguer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 64 | 2013 |
| Autonomous navigation for mobile service robots in urban pedestrian environments E Trulls, A Corominas Murtra, J Pérez‐Ibarz, G Ferrer, D Vasquez, ... Journal of Field Robotics 28 (3), 329-354, 2011 | 63 | 2011 |
| 3D mapping for urban service robots R Valencia, EH Teniente, E Trulls, J Andrade-Cetto 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2009 | 53 | 2009 |
| Segmentation-aware deformable part models E Trulls, S Tsogkas, I Kokkinos, A Sanfeliu, F Moreno-Noguer Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 36 | 2014 |
| Spatiotemporal descriptor for wide-baseline stereo reconstruction of non-rigid and ambiguous scenes E Trulls, A Sanfeliu, F Moreno-Noguer Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 24 | 2012 |
| Linearized multi-sampling for differentiable image transformation W Jiang, W Sun, A Tagliasacchi, E Trulls, KM Yi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 20 | 2019 |
| Autonomous navigation for urban service mobile robots AC Murtra, E Trulls, O Sandoval, J Pérez-Ibarz, D Vasquez, JM Mirats-Tur, ... 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 17 | 2010 |
| Efficient use of 3D environment models for mobile robot simulation and localization A Corominas Murtra, E Trulls, JM Mirats Tur, A Sanfeliu Simulation, Modeling, and Programming for Autonomous Robots: Second …, 2010 | 7 | 2010 |
| Method, system, and device for learned invariant feature transform for computer images P Fua, V Lepetit, EF Trulls, KM Yi US Patent 10,552,709, 2020 | 6 | 2020 |
| Combination of distributed camera network and laser-based 3D mapping for urban service robots J Andrade-Cetto, AA Ortega Jiménez, E Teniente Avilés, E Trulls Fortuny, ... IROS Workshop on Network Robot Systems 2009, 69-80, 2009 | 5 | 2009 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
