| Deeper depth prediction with fully convolutional residual networks I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab 2016 Fourth international conference on 3D vision (3DV), 239-248, 2016 | 2033 | 2016 |
| Unique signatures of histograms for local surface description F Tombari, S Salti, L Di Stefano Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 1755 | 2010 |
| Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again W Kehl, F Manhardt, F Tombari, S Ilic, N Navab Proceedings of the IEEE international conference on computer vision, 1521-1529, 2017 | 1003 | 2017 |
| Cnn-slam: Real-time dense monocular slam with learned depth prediction K Tateno, F Tombari, I Laina, N Navab Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 810 | 2017 |
| SHOT: Unique signatures of histograms for surface and texture description S Salti, F Tombari, L Di Stefano Computer Vision and Image Understanding 125, 251-264, 2014 | 758 | 2014 |
| Tutorial: Point cloud library: Three-dimensional object recognition and 6 dof pose estimation A Aldoma, ZC Marton, F Tombari, W Wohlkinger, C Potthast, B Zeisl, ... IEEE Robotics & Automation Magazine 19 (3), 80-91, 2012 | 514 | 2012 |
| Performance evaluation of 3D keypoint detectors F Tombari, S Salti, L Di Stefano International Journal of Computer Vision 102 (1-3), 198-220, 2013 | 402 | 2013 |
| A combined texture-shape descriptor for enhanced 3D feature matching F Tombari, S Salti, L Di Stefano 2011 18th IEEE international conference on image processing, 809-812, 2011 | 400 | 2011 |
| Bop: Benchmark for 6d object pose estimation T Hodan, F Michel, E Brachmann, W Kehl, A GlentBuch, D Kraft, B Drost, ... Proceedings of the European conference on computer vision (ECCV), 19-34, 2018 | 389 | 2018 |
| 3D point capsule networks Y Zhao, T Birdal, H Deng, F Tombari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 365 | 2019 |
| Unique shape context for 3D data description F Tombari, S Salti, L Di Stefano Proceedings of the ACM workshop on 3D object retrieval, 57-62, 2010 | 353 | 2010 |
| Registration with the point cloud library: A modular framework for aligning in 3-D D Holz, AE Ichim, F Tombari, RB Rusu, S Behnke IEEE Robotics & Automation Magazine 22 (4), 110-124, 2015 | 348 | 2015 |
| Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation W Kehl, F Milletari, F Tombari, S Ilic, N Navab Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 320 | 2016 |
| Segmentation-based adaptive support for accurate stereo correspondence F Tombari, S Mattoccia, L Di Stefano Advances in Image and Video Technology: Second Pacific Rim Symposium, PSIVT …, 2007 | 289 | 2007 |
| Classification and evaluation of cost aggregation methods for stereo correspondence F Tombari, S Mattoccia, L Di Stefano, E Addimanda 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 284 | 2008 |
| ZNCC-based template matching using bounded partial correlation L Di Stefano, S Mattoccia, F Tombari Pattern recognition letters 26 (14), 2129-2134, 2005 | 268 | 2005 |
| Object recognition in 3d scenes with occlusions and clutter by hough voting F Tombari, L Di Stefano 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 349-355, 2010 | 251 | 2010 |
| A global hypotheses verification method for 3d object recognition A Aldoma, F Tombari, L Di Stefano, M Vincze Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 231 | 2012 |
| OUR-CVFH–oriented, unique and repeatable clustered viewpoint feature histogram for object recognition and 6DOF pose estimation A Aldoma, F Tombari, RB Rusu, M Vincze Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012 | 218 | 2012 |
| Socratic models: Composing zero-shot multimodal reasoning with language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... arXiv preprint arXiv:2204.00598, 2022 | 216 | 2022 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenVerified email at cs.tum.edu
