| Tilde: A temporally invariant learned detector Y Verdie, K Yi, P Fua, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 331 | 2015 |
| LOD generation for urban scenes Y Verdie, F Lafarge, P Alliez ACM Transactions on Graphics 34 (ARTICLE), 30, 2015 | 170 | 2015 |
| Learning to assign orientations to feature points KM Yi, Y Verdie, P Fua, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 121 | 2016 |
| A novel representation of parts for accurate 3D object detection and tracking in monocular images A Crivellaro, M Rad, Y Verdie, K Moo Yi, P Fua, V Lepetit Proceedings of the IEEE international conference on computer vision, 4391-4399, 2015 | 120 | 2015 |
| Robust 3D object tracking from monocular images using stable parts A Crivellaro, M Rad, Y Verdie, KM Yi, P Fua, V Lepetit IEEE transactions on pattern analysis and machine intelligence 40 (6), 1465-1479, 2017 | 73 | 2017 |
| Detecting parametric objects in large scenes by Monte Carlo sampling Y Verdie, F Lafarge International Journal of Computer Vision 106, 57-75, 2014 | 41 | 2014 |
| Efficient Monte Carlo sampler for detecting parametric objects in large scenes Y Verdié, F Lafarge Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 29 | 2012 |
| Point set shape detection S Oesau, Y Verdie, C Jamin, P Alliez, F Lafarge, S Giraudot, T Hoang, ... CGAL User and Reference Manual 4, 59-66, 2018 | 13 | 2018 |
| Hdd-net: Hybrid detector descriptor with mutual interactive learning A Barroso-Laguna, Y Verdie, B Busam, K Mikolajczyk Proceedings of the Asian Conference on Computer Vision, 2020 | 12 | 2020 |
| Cromo: Cross-modal learning for monocular depth estimation Y Verdié, J Song, B Mas, B Busam, A Leonardis, S McDonagh 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022 | 7 | 2022 |
| Shape detection S Oesau, Y Verdie, C Jamin, P Alliez, F Lafarge, S Giraudot, T Hoang, ... CGAL User and Reference Manual 5 (2), 2020 | 7 | 2020 |
| Generating compact meshes under planar constraints: an automatic approach for modeling buildings from aerial LiDAR Y Verdie, F Lafarge, J Zerubia 2011 18th IEEE International Conference on Image Processing, 877-880, 2011 | 5 | 2011 |
| Mirrortrack: tracking with reflection-comparison with top-down approach Y Verdie, B Fang, F Quek Proceedings of the 2009 international conference on Multimodal interfaces …, 2009 | 5 | 2009 |
| Evolution of hand tracking algorithms to mirrortrack Y Verdié Vision Interfaces and Systems Laboratory, Tech. Rep, 2008 | 5 | 2008 |
| Is my Depth Ground-Truth Good Enough? HAMMER--Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression HJ Jung, P Ruhkamp, G Zhai, N Brasch, Y Li, Y Verdie, J Song, Y Zhou, ... arXiv preprint arXiv:2205.04565, 2022 | 4 | 2022 |
| Tracking texture-less, shiny objects with descriptor fields A Crivellaro, Y Verdie, KM Yi, P Fua, V Lepetit 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2014 | 3 | 2014 |
| Urban scene modeling from airborne data Y Verdie Université Nice Sophia Antipolis, 2013 | 1 | 2013 |
| Towards the parallelization of Reversible Jump Markov Chain Monte Carlo algorithms for vision problems F Lafarge INRIA, 2012 | 1 | 2012 |
| Surface gesture & object tracking on tabletop devices Y Verdié Virginia Tech, 2010 | 1 | 2010 |
| On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks HJ Jung, P Ruhkamp, G Zhai, N Brasch, Y Li, Y Verdie, J Song, Y Zhou, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
