Contact PD Dr. Ing. Habil. Federico Tombari Email: tombari|[at]|in.tum.de Address: Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching b. München Office: MI 03.13.039

I am a Research Scientist and Manager at Google, and a Lecturer (PD) at TU Munich.

At the CAMP Chair^?, I coordinate the computer vision team.

I am particularly active in the area of 3D/RGB-D perception and applications of deep learning to computer vision.

The fields of application of my research are mostly in robotics, healthcare, augmented reality and autonomous driving.

News

• Sep 2021: I was awarded an ICCV '21 Outstanding Reviewer award.
• Aug 2021: 3 papers accepted at ICCV '21.
• Jun 2021: I was awarded a CVPR '21 Outstanding Reviewer award.
• Apr 2021: 4 papers accepted at CVPR '21.
• Mar 2021: 5 papers accepted at ICRA '21.
• Feb 2021: Keynote Speaker at VISIGRAPP 2021.
• Jul 2020: 5 papers accepted at ECCV '20, 3 of which orals (2% acceptance rate).
• Jun 2020: 3 papers accepted at IROS '20 (1 with RAL).
• Mar 2020: My TEDx talk on deep learning and 3D computer vision is available online.
• Feb 2020: 2 papers accepted at CVPR '20.
• Aug 2019: 5 papers accepted at ICCV '19, 2 of which orals (4.3% acceptance rate).
• Jul 2019: 1 paper accepted at ICRA '19, 2 papers accepted at IROS '19 (1 with RA-L publication).
• Jul 2019: Our first Meetup in computer vision in Zurich will be on July 24 on perception and learning for drones.
• May 2019: I am co-organizing (together with MIT and ETH) UAD '19, a workshop on Autonomous Driving to be held at RSS in June.
• Mar 2019: 3 papers accepted at CVPR '19 (1 oral).
• Feb 2019: I'll be giving an invited lecture at the ICVSS summer school in July.
• Dec 2018: I'll be Program Chair for 3DV '19.
• Jul 2018: 5 papers accepted at ECCV '18 (1 oral), 4 papers accepted at IROS '18.
• Jun 2018: I am co-editing a PAMI Special Issue on RGB-D Vision (deadline on September 20th), for more info please see the Call for Papers.
• May 2018: CVPR '18 Outstanding Reviewer Award.
• May 2018: 1 paper accepted at CVPR '18 (spotlight), 1 paper accepted at MICCAI '18 (direct accept).
• Mar 2018: I am the recipient of a Google Faculty Research Award for a project on 3D computer vision for assistive technology.

Open Positions

Ongoing Projects

My research activity has been sponsored by industrial partners through research projects in computer vision and machine learning, for which I've acted as Principal Investigator and academic supervisor. Industrial research partners included:

• Toyota, on 3D object recognition and pose estimation for service robotics
• Google, on development of 3D perception algorithms for the Tango project
• BMW and Audi, on the development of computer vision and deep learning technology for autonomous driving
• Amazon, on the development of algorithms for monocular SLAM and semantic mapping
• IABG, on the development of 3D mapping algorithms for UAVs
• Zeiss, on the development of computer vision technology for retinal microsurgery interventions

Teaching

• Praktikum Praktikum on 3D Computer Vision (2021WiSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2021SoSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2021SoSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2020WiSe)
• Praktikum Perception and Learning in Robotics and Augmented Reality (2020SoSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2019WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2019WiSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2019SoSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2018WiSe)
• Hauptseminar Deep Generative Models (2018WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2018WiSe)
• Hauptseminar Foundations of Computer Vision (2018WiSe)
• Praktikum Perception and Learning in Robotics and Augmented Reality (2018SoSe)
• Hauptseminar Deep Generative Models (2018SoSe)
• Hauptseminar Deep Generative Models (2017WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2017WiSe)
• Hauptseminar Foundations of Computer Vision (2017WiSe)
• Praktikum Perception and Learning in Robotics and Augmented Reality (2017SoSe)
• Hauptseminar Computer Vision in Animal Behaviour Studies (2017SoSe)
• Hauptseminar Recent Trends in 3D Computer Vision (2016WiSe)
• Hauptseminar Foundations of Computer Vision (2016WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision (2015WiSe)
• Hauptseminar Foundations of Computer Vision (2014WiSe)
• Hauptseminar 3D Computer Vision (2014WiSe)

Student Projects

In addition to this list of offered projects, other topics are available upon request for student with a strong background in Computer Vision and/or Deep Learning and good C++/Python skills.

Available
Master Thesis	Semantically Consistent Sim2Real Domain Adaptation for Autonomous Driving. (Artem Savkin, Federico Tombari)
Project	Lazy Camera Calibration Toolbox Development (Yanyan Li, Federico Tombari)
DA/MA/BA	Self-supervising monocular 6D object pose estimation (Fabian Manhardt, Federico Tombari)
Master Thesis	3D Scene Understanding Leveraging Scene Graphs (Helisa Dhamo Fabian Manhardt, Federico Tombari)
Master Thesis	Deep Learning-based 2D-3D Correspondence Matching for Object 6DoF Pose Estimation (Mahdi Saleh, Yongzhi Su, Federico Tombari)
DA/MA/BA	3D Object Detection and Segmentation from Point Clouds (Mahdi Saleh, Federico Tombari)
DA/MA/BA	Thesis or Guided Research in Autonomous Driving related topics (Nikolas Brasch, Federico Tombari)

Running
Master Thesis	Persistent SLAM (Shun-Cheng Wu Johanna Wald, Federico Tombari)
Master Thesis	Uncertainty Estimation for Segmentation in Autonomous Driving (Stefano Gasperini, Federico Tombari)
Master Thesis	Temporal 3D Object Detection in Lidar Point Clouds for Autonomous Driving (Alexander Lehner, Federico Tombari)
DA/MA/BA	Weakly-Supervised Action Segmentation (Huseyin Coskun, Prof. Nassir Navab, Federico Tombari)
Hiwi	3D Pedestrian Detection and Pose Estimation (Mahdi Saleh, Federico Tombari)
DA/MA/BA	Planning on Dense Semantic Reconstructions (Nikolas Brasch, Federico Tombari)

List of Publications at CAMP

2021
	S. Garg, H. Dhamo, A. Farshad, S. Musatian, N. Navab, F. Tombari Unconditional Scene Graph Generation IEEE International Conference on Computer Vision (ICCV), October 2021 The first two authors contributed equally. (bib)
	H. Dhamo, F. Manhardt, N. Navab, F. Tombari Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs IEEE International Conference on Computer Vision (ICCV), October 2021 The first two authors contributed equally. (bib)
	Y. Di, F. Manhardt, G. Wang, X. Ji, F. Tombari, N. Navab SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation IEEE International Conference on Computer Vision (ICCV), October 2021 (bib)
	S. Wu, J. Wald, K. Tateno, N. Navab, F. Tombari SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences IEEE Computer Vision and Pattern Recognition (CVPR), June 2021. (bib)
	G. Wang, F. Manhardt, F. Tombari, X. Ji GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimationi IEEE Computer Vision and Pattern Recognition (CVPR), June 2021 (bib)
	L. Minciullo, F. Manhardt, K. Yoshikawa, S. Meier, F. Tombari, N. Kobori DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), January 2021. The first two authors contributed equally to this paper. (bib)
2020
	S. Wu, K. Tateno, N. Navab, F. Tombari SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion International Conference on 3D Vision 2020 (bib)
	M. Saleh, S. Dehghani, B. Busam, N. Navab, F. Tombari Graphite: Graph-Induced feaTure Extraction for Point Cloud Registration 3DV Oral 2020 (bib)
	S. Gasperini, M.-A. N. Mahani, A. Marcos-Ramiro, N. Navab, F. Tombari Panoster: End-to-end Panoptic Segmentation of LiDAR? Point Clouds Under review for IEEE Robotics and Automation Letters (RA-L) and the International Conference on Robotics and Automation (ICRA) 2021. Preprint available on arxiv. (bib)
	O. Scheel, L. Schwarz, N. Navab, F. Tombari Explicit Domain Adaptation with Loosely Coupled Samples IEEE International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, October 2020. (bib)
	Y. Wang, D. J. Tan , N. Navab, F. Tombari SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification European Conference on Computer Vision (ECCV) (bib)
	J. Wald, T. Sattler, S. Golodetz, T. Cavallari, F. Tombari Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes European Conference on Computer Vision (ECCV), August 2020. (bib)
	Y. Li, N. Brasch, Y. Wang, N. Navab, F. Tombari Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments International Conference on Intelligent Robots and Systems (IROS), October 25-29, 2020. Las Vegas, USA. The first two authors contributed equally. (bib)
	J. Wald, H. Dhamo, N. Navab, F. Tombari Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020 The first two authors contributed equally. (bib)
	H. Dhamo, A. Farshad, I. Laina, N. Navab, G. D. Hager, F. Tombari, C. Rupprecht Semantic Image Manipulation Using Scene Graphs IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020 The first two authors contributed equally. (bib)
	A. Berlati, O. Scheel, L. D. Stefano, F. Tombari Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 2020. (bib)
	B. Munjal, A. Aftab, S. Amin, M. D. Brandlmaier, F. Tombari, F. Galasso Joint detection and tracking in videos with identification features Image and Vision Computing Journal, May 2020 (bib)
	G. Wang, F. Manhardt, J. Shao, X. Ji, N. Navab, F. Tombari Self6D: Self-Supervised Monocular 6D Object Pose Estimation European Conference On Computer Vision (ECCV), Glasgow, Scotland, August [oral]. The first two authors contributed equally to this paper. (bib)
2019
	Y. Wang, D. J. Tan , N. Navab, F. Tombari ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
	F. Manhardt, D. Arroyo, C. Rupprecht, B. Busam, T. Birdal, N. Navab, F. Tombari Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
	M. Herb, T. Weiherer, N. Navab, F. Tombari Crowd-sourced Semantic Edge Mapping for Autonomous Vehicles IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, November, 2019. (bib)
	H. Dhamo, N. Navab, F. Tombari Object-driven Multi-Layer Scene Decomposition from a Single Image International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
	J. Wald, A. Avetisyan, N. Navab, F. Tombari, M. Niessner RIO: 3D Object Instance Re-Localization in Changing Indoor Environments International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 [oral]. The last two authors share senior authorship. (bib)
	J. Postel, F. Ferroni, H. Coskun, N. Navab, F. Tombari Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 [oral]. (bib)
	F. Navarro, S. Conjeti, F. Tombari, N. Navab Leveraging Web Data for Skin Lesion Classification Proceedings of the Bildverarbeitung für die Medizin 2019 (bib)
	Y. Zhao, T. Birdal, H. Deng, F. Tombari 3D Point-Capsule Networks IEEE Computer Vision and Pattern Recognition (CVPR), Long Beach, United States, June 2019 (bib)
	B. Munjal, S. Amin, F. Tombari, F. Galasso Query-guided End-to-End Person Search IEEE Computer Vision and Pattern Recognition (CVPR), Long Beach, United States, June 2019 (bib)
	O. Scheel, N. Nagaraja, L. Schwarz, N. Navab, F. Tombari Attention-based Lane Change Prediction IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, May 2019. (bib)
	H. Dhamo, K. Tateno, I. Laina, N. Navab, F. Tombari Peeking Behind Objects: Layered Depth Prediction from a Single Image Pattern Recognition Letters, Vol. 125, 2019 (bib)
	Y. Gao, Y. Wang, , N. Navab, F. Tombari Variational Object-aware 3D Hand Pose from a Single RGB Image IEEE Robotics and Automation Letters 2019 (bib)
2018
	C. Rupprecht, I. Laina, N. Navab, G. D. Hager, F. Tombari Guide Me: Interacting with Deep Networks Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018. Spotlight. The first two authors contribute equally to this paper. (bib)
	Y. Nakajima , K. Tateno, F. Tombari, H. Saito Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October, 2018. (bib)
	N. Brasch, A. Bozic, J. Lallemand, F. Tombari Semantic Monocular SLAM for Highly Dynamic Environments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October, 2018 The first two authors contributed equally. (bib)
	J. Wald, K. Tateno, J. Sturm, N. Navab, F. Tombari Real-Time Fully Incremental Scene Understanding on Mobile Platforms IEEE Robotics and Automation Letters (presented at IROS), Madrid, Spain, October 2018 (bib)
	Y. Wang, D. J. Tan , N. Navab, F. Tombari Adversarial Semantic Scene Completion from a Single Depth Image International Conference on 3D Vision (3DV), 2018 (bib)
	K. Tateno, N. Navab, F. Tombari Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images 15th European Conference on Computer Vision (ECCV), Munich, Germany, September, 2018. (bib)
	D. Rethage, J. Wald, J. Sturm, N. Navab, F. Tombari Fully-Convolutional Point Networks for Large-Scale Point Clouds European Conference On Computer Vision (ECCV), Munich, Germany, September 2018 (bib)
	F. Manhardt, W. Kehl, N. Navab, F. Tombari Deep Model-Based 6D Pose Refinement in RGB European Conference On Computer Vision (ECCV), Munich, Germany, September 2018 [oral]. The first two authors contributed equally to this paper. (bib)
	T. Hodan, F. Michel, E. Brachmann, W. Kehl, A. Buch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, C. Sahin, F. Manhardt, F. Tombari, T.K. Kim, J. Matas, C. Rother BOP: Benchmark for 6D Object Pose Estimation European Conference On Computer Vision (ECCV), Munich, Germany, September 2018. (bib)
	F. Navarro, S. Conjeti, F. Tombari, N. Navab Webly Supervised Learning for Skin Lesion Classification Proceedings of the In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018, Granada, Spain. (bib)
	O. Scheel, L. Schwarz, N. Navab, F. Tombari Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018. (bib)
	G. Ghazaei, I. Laina, C. Rupprecht, F. Tombari, N. Navab, K. Nazarpour Dealing with Ambiguity in Robotic Grasping via Multiple Predictions Asian Conference on Computer Vision and Pattern Recognition (ACCV), Perth, Australia, December 2018. (bib)
2017
	C.-H. Huang, B. Allain, E. Boyer, J.-S. Franco, F. Tombari, N. Navab, S. Ilic Tracking-by-Detection of 3D Human Shapes: from Surfaces to Volumes IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (bib)
	W. Kehl, F. Tombari, S. Ilic, N. Navab Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, USA, July 2017 (bib)
	C. Rupprecht, I. Laina, R. DiPietro, M. Baust, F. Tombari, N. Navab, G. D. Hager Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 2017 (bib)
	W. Kehl, F. Manhardt, F. Tombari, S. Ilic, N. Navab SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again International Conference on Computer Vision (ICCV), Venice, Italy, October 2017 [oral]. The first two authors contributed equally to this paper. (bib)
	H. Coskun, F. Achilles, R. DiPietro, N. Navab, F. Tombari Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization International Conference on Computer Vision (ICCV), Venice, Italy, October 2017 (bib)
	D. J. Tan , N. Navab, F. Tombari 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality This was submitted as an extended abstract to the demo session and workshop. A pre-print version is available online at arXiv. (bib)
	I. Laina, N. Rieke, C. Rupprecht, J. Page Vizcaino, A. Eslami, F. Tombari, N. Navab Concurrent Segmentation and Localization for Tracking of Surgical Instruments Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017. A pre-print version is available online at arXiv. The first two authors contribute equally to this paper. (bib)
	D. J. Tan , N. Navab, F. Tombari Looking Beyond the Simple Scenarios: Combining Learners and Optimizers in 3D Temporal Tracking IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Nantes, France, 2017 (bib)
	S.C. Lee, B. Fuerst, K. Tateno, A. Johnson, J. Fotouhi, G. Osgood, F. Tombari, N. Navab Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery Healthcare Technology Letters Journal (IET HTL), September, 2017. This work won the outstanding paper award at AE-CAI 2017. The final publication is available at http://digital-library.theiet.org/content/journals/10.1049/htl.2017.0066 (bib)
	K. Tateno, F. Tombari, I. Laina, N. Navab CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, June, 2017. The first two authors contribute equally to this paper. (bib)
	C. Rupprecht, A. Kapil, N. Liu, L. Ballan, F. Tombari Learning without prejudice: Avoiding bias in webly-supervised action recognition Computer Vision and Image Understanding (bib)
	D. J. Tan , N. Navab, F. Tombari Adaptive Learning-based Temporal Tracker for 3D Head Shape Models British Machine Vision Conference, London, UK, September 4-7, 2017 (bib)
	K. Tateno, F. Tombari, N. Navab Large Scale and Long Standing Simultaneous Reconstruction and Segmentation Computer Vision and Image Understanding (CVIU), Volume 157, Pages 138-150, April, 2017. The final publication is available at http://www.sciencedirect.com/science/article/pii/S1077314216300662 (bib)
	J. Page Vizcaino, N. Rieke, D. J. Tan , F. Tombari, A. Eslami, N. Navab Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery Workshops Bildverarbeitung fuer die Medizin (BVM), Heidelberg, March 12-14, 2017. (bib)
	D. J. Tan , F. Tombari, N. Navab Real-Time Accurate 3D Head Tracking and Pose Estimation with Consumer RGB-D Cameras International Journal of Computer Vision (bib)
2016
	W. Kehl, T. Holl, F. Tombari, S. Ilic, N. Navab An Octree-Based Approach towards Efficient Variational Range Data Fusion British Machine Vision Conference (BMVC), York, UK, September 2016 (bib)
	W. Kehl, F. Milletari, F. Tombari, S. Ilic, N. Navab Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation European Conference On Computer Vision (ECCV), Amsterdam, The Netherlands, October 2016 (bib)
	I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab Deeper Depth Prediction with Fully Convolutional Residual Networks International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016. Oral presentation. The first two authors contribute equally to this paper. (bib)
	N. Rieke, D. J. Tan , F. Tombari, J. Page Vizcaino, C. Amat di San Filippo, A. Eslami, N. Navab Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
	F. Achilles, A.E. Ichim, H. Coskun, F. Tombari, S. Noachtar, N. Navab PatientMocap: Human Pose Estimation under Blanket Occlusion for Hospital Monitoring Applications Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib)
	C. Li , H. Xiao, K. Tateno, F. Tombari, N. Navab, G. D. Hager Incremental Scene Understanding on Dense SLAM IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, October, 2016. (bib)
	C. Rupprecht, C. Lea, F. Tombari, N. Navab, G. D. Hager Sensor Substitution for Video-based Action Recognition IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, October 2016 (bib)
	N. Rieke, D. J. Tan , C. Amat di San Filippo, F. Tombari, M. Alsheakhali, V. Belagiannis, A. Eslami, N. Navab Real-time Localization of Articulated Surgical Instruments in Retinal Microsurgery Medical Image Analysis, vol. 34, 82-100, 2016. The original publication is available online at medicalimageanalysisjournal.com. A free version is available until November 17,2016 (bib)
	F. Achilles, F. Tombari, V. Belagiannis, A.M. Loesch, S. Noachtar, N. Navab Convolutional neural networks for real-time epileptic seizure detection Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2016 (bib)
	F. Grün, C. Rupprecht, N. Navab, F. Tombari A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks International Conference on Machine Learning (ICML) Workshop on Visualization for Deep Learning, New York, USA, June 23rd, 2016 (bib)
	K. Tateno, F. Tombari, N. Navab When 2.5D is not enough: Simultaneous Reconstruction, Segmentation and Recognition on dense SLAM IEEE International Conference on Robotics and Automation (ICRA), Stockholm, May 2016 (bib)
2015
	W. Kehl, F. Tombari, N. Navab, S. Ilic, V. Lepetit Hashmod: A Hashing Method for Scalable 3D Object Detection British Machine Vision Conference (BMVC), Swansea, UK, September 2015 (bib)
	K. Tateno, F. Tombari, N. Navab Real-Time and Scalable Incremental Segmentation on Dense SLAM IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 2015 (bib)
	D. J. Tan , F. Tombari, S. Ilic, N. Navab A Versatile Learning-based 3D Temporal Tracker: Scalable, Robust, Online International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (bib)
	C.-H. Huang, F. Tombari, N. Navab Repeatable Local Coordinate Frames for 3D Human Motion Tracking: from Rigid to Non-Rigid International Conference on 3D Vision (3DV), Lyon, France, Oct. 20, 2015 (bib)
	D. J. Tan , F. Tombari, N. Navab A Combined Generalized and Subject-Specific 3D Head Pose Estimation International Conference on 3D Vision (3DV), Lyon, France, October 2015 (bib)
	V. Zografos, A. Valentinitsch, M. Rempfler, F. Tombari, B. Menze Hierarchical multi-organ segmentation without registration in 3D abdominal CT images MICCAI-MCV 2015, 2015, Munich, Germany (bib)
	N. Rieke, D. J. Tan , M. Alsheakhali, F. Tombari, C. Amat di San Filippo, V. Belagiannis, A. Eslami, N. Navab Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 (bib)
	F. Milletari, A. Ahmadi, C. Kroll, C. Hennersperger, F. Tombari, A. Shah, A. Plate, K. Bötzel, N. Navab Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations MICCAI 2015, the 18th International Conference on Medical Image Computing and Computer Assisted Intervention (bib)
	S. Habert, Ma Meng, W. Kehl, Xiang Wang, F. Tombari, P. Fallavollita, N. Navab Augmenting mobile C-arm fluoroscopes via Stereo-RGBD sensors for multimodal visualization International Symposium on Mixed and Augmented Reality (ISMAR), 2015 (bib)
	F. Milletari, W. Kehl, F. Tombari, S. Ilic, A. Ahmadi, N. Navab Universal Hough dictionaries for object tracking British Machine Vision Conference (BMVC), Swansea, UK, September 2015 (bib)