Federico Tombari

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Nassir NavabProfessor of Computer Science, Technische Universität MünchenEmail yang diverifikasi di cs.tum.edu
Luigi Di StefanoFull Professor, University of BolognaEmail yang diverifikasi di unibo.it
Fabian ManhardtGoogleEmail yang diverifikasi di tum.de
Samuele SaltiDISI, University of BolognaEmail yang diverifikasi di unibo.it
Stefano MattocciaAssociate Professor of Computer Science, University of BolognaEmail yang diverifikasi di unibo.it
Keisuke TatenoGoogle, TU Munich.Email yang diverifikasi di google.com
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEEmail yang diverifikasi di insait.ai
Christian RupprechtUniversity of OxfordEmail yang diverifikasi di robots.ox.ac.uk
David Joseph TanTechnische Universität MünchenEmail yang diverifikasi di in.tum.de
Benjamin BusamTechnische Universität MünchenEmail yang diverifikasi di in.tum.de
Yan DiTechnical University of MunichEmail yang diverifikasi di tum.de
Iro LainaVGG, University of OxfordEmail yang diverifikasi di robots.ox.ac.uk
Wadim KehlML Lead @ Woven by ToyotaEmail yang diverifikasi di woven-planet.global
Janis PostelsPhD student at ETHEmail yang diverifikasi di ee.ethz.ch
Slobodan IlicSenior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUMEmail yang diverifikasi di in.tum.de
Alessio TonioniResearch Scientist, Google inc., ZurichEmail yang diverifikasi di google.com
Markus VinczeTU WienEmail yang diverifikasi di acin.tuwien.ac.at
Johanna WaldTechnical University of MunichEmail yang diverifikasi di google.com
Yongqin XianGoogleEmail yang diverifikasi di google.com
Radu B. RusuPresident and CEO, Open PerceptionEmail yang diverifikasi di openperception.org

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Federico Tombari

Google, TU Munich

Email yang diverifikasi di in.tum.de - Beranda

Computer Vision Machine Learning 3D Perception


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	2400	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	1913	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	1247	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	1013	2014
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	988	2017
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	553	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	526	2022
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	505	2018
Performance evaluation of 3D keypoint detectors F Tombari, S Salti, L Di Stefano International Journal of Computer Vision 102 (1), 198-220, 2013	446	2013
3D point capsule networks Y Zhao, T Birdal, H Deng, F Tombari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	443	2019
Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation G Wang, F Manhardt, F Tombari, X Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	424	2021
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	424	2010
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	422	2011
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	405	2015
Neural fields in visual computing and beyond Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ... Computer Graphics Forum 41 (2), 641-676, 2022	401	2022
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	348	2016
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	291	2008
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	291	2007
ZNCC-based template matching using bounded partial correlation L Di Stefano, S Mattoccia, F Tombari Pattern recognition letters 26 (14), 2129-2134, 2005	291	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	259	2010

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