PD Dr. Ing. Habil. Federico Tombari



Dr. habil. Federico Tombari

TUM Department of Informatics

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

About Me

I am a Research Scientist and Manager at Google, and a Lecturer (PD) at TU Munich. At the CAMP Chair?, I help coordinating the computer vision team and its research activities and projects.

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 roboticshealthcareaugmented reality and autonomous driving.

News

  • Mar 2022: 6 papers accepted at CVPR 2022
  • Feb 2022: I will be Area Chair of ECCV 2022
  • Oct 2021: I was awarded a Neurips ‘21 Oustanding Reviewer award.
  • Sep 2021: I was awarded an ICCV ‘21 Outstanding Reviewer award.
  • Sep 2021: I am an Associate Editor for ICRA ‘22
  • Aug 2021: 3 papers accepted at ICCV ‘21.
  • Jul 2021: I am Area Chair at 3DV ‘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).

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

Publications

2022

  • Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Mohammad-Ali Nikouei Mahani; Nassir Navab; Benjamin Busam; Federico Tombari: 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 mehr…
  • Saleh, Mahdi; Wang, Yige; Navab, Nassir; Busam, Benjamin; Tombari, Federico: CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning. International Conference on Intelligent Robots and Systems (IROS), 2022 mehr…
  • Saleh, Mahdi; Wu, Shun-Cheng; Cosmo, Luca; Navab, Nassir; Busam, Benjamin; Tombari, Federico: Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 mehr…
  • Stefano Gasperini; Frithjof Winkelmann; Alvaro Marcos-Ramiro; Micheal Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari: Holistic Segmentation. arXiv preprint, 2022 mehr…
  • Su, Yongzhi; Saleh, Mahdi; Fetzer, Torben; Rambach, Jason; Navab, Nassir; Busam, Benjamin; Stricker, Didier; Tombari, Federico: ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 mehr…

2021

  • Dhamo, H.; Manhardt, F.; Navab, N.; Tombari, F.: Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes using Scene Graphs. IEEE International Conference on Computer Vision (ICCV), 2021 mehr…
  • Di, Y.; Manhardt, F.; Wang, G.; Ji, X.; Tombari, F.; Navab, N.: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. IEEE International Conference on Computer Vision (ICCV), 2021 mehr…
  • Garg, S.; Dhamo, H.; Farshad, A.; Musatian, S.; Navab, N.; Tombari, F.: Unconditional Scene Graph Generation. IEEE International Conference on Computer Vision (ICCV), 2021 mehr…
  • Garg, Sarthak; Dhamo, Helisa; Farshad, Azade; Musatian, Sabrina; Navab, Nassir; Tombari, Federico: Unconditional Scene Graph Generation. IEEE International Conference on Computer Vision (ICCV), 2021 mehr…
  • Minciullo, L.; Manhardt, F.; Yoshikawa, K.; Meier, S.; Tombari, F.; Kobori, N.: DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021 mehr…
  • Stefano Gasperini; Jan Haug; Mohammad-Ali Nikouei Mahani; Alvaro Marcos-Ramiro; Nassir Navab; Benjamin Busam; Federico Tombari: CertainNet: Sampling-free Uncertainty Estimation for Object Detection. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
  • Stefano Gasperini; Mohammad-Ali Nikouei Mahani; Alvaro Marcos-Ramiro; Nassir Navab; Federico Tombari: Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds. IEEE Robotics and Automation Letters (RA-L), 2021 mehr…
  • Stefano Gasperini; Patrick Koch; Vinzenz Dallabetta; Nassir Navab; Benjamin Busam; Federico Tombari: R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes. Proceedings of the IEEE International Conference on 3D Vision (3DV), 2021, 2021 mehr…
  • Wang, G.; Manhardt, F.; Tombari, F.; Ji, X.: GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimationi. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 mehr…
  • Wu, S.; Wald, J.; Tateno, K.; Navab, N.; Tombari, F.: SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences. Proceedings IEEE Computer Vision and Pattern Recognition (CVPR), 2021 mehr…
  • Wu, Shun-Cheng; Wald, Johanna; Tateno, Keisuke; Navab, Nassir; Tombari, Federico: SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2021 mehr…

2020

  • Berlati, A.; Scheel, O.; Stefano, L. D.; Tombari, F.: Ambiguity in Sequential Data: Predicting Uncertain Futures with Recurrent Models. IEEE Robotics and Automation Letters 5 (2), 2020, 2935--2942 mehr…
  • Dhamo, H.; Farshad, A.; Laina, I.; Navab, N.; Hager, G. D.; Tombari, F.; Rupprecht, C.: Semantic Image Manipulation Using Scene Graphs. Cvpr, 2020 mehr…
  • Dhamo, Helisa; Farshad, Azade; Laina, Iro; Navab, Nassir; Hager, Gregory D.; Tombari, Federico; Rupprecht, Christian: Semantic Image Manipulation Using Scene Graphs. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020 mehr…
  • Gasperini, S.; Mahani, M.-A. N.; Marcos-Ramiro, A.; Navab, N.; Tombari, F.: Panoster: End-to-end Panoptic Segmentation of LiDAR Point Clouds. 2020 mehr…
  • Li, Y.; Brasch, N.; Wang, Y.; Navab, N.; Tombari, F.: Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 mehr…
  • Munjal, B.; Aftab, A.; Amin, S.; Brandlmaier, M. D.; Tombari, F.; Galasso, F.: Joint detection and tracking in videos with identification features. Image and Vision Computing Journal 100, 2020 mehr…
  • Saleh, M.; Dehghani, S.; Busam, B.; Navab, N.; Tombari, F.: Graphite: Graph-Induced feaTure Extraction for Point Cloud Registration. 2020 International Conference on 3D Vision (3DV), 2020 mehr…
  • Scheel, O.; Schwarz, L.; Navab, N.; Tombari, F.: Explicit Domain Adaptation with Loosely Coupled Samples. IEEE Robotics and Automation Letters, 2020 mehr…
  • Wald, J.; Dhamo, H.; Navab, N.; Tombari, F.: Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions. , 2020 mehr…
  • Wald, J.; Sattler, T.; Golodetz, S.; Cavallari, T.; Tombari, F.: Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes. Proceedings European Conference on Computer Vision (ECCV), 2020 mehr…
  • Wang, G.; Manhardt, F.; Shao, J.; Ji, X.; Navab, N.; Tombari, F.: Self6D: Self-Supervised Monocular 6D Object Pose Estimation. The European Conference on Computer Vision (ECCV), 2020 mehr…
  • Wang, Y.; Tan, D. J.; Navab, N.; Tombari, F.: SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification. Computer Vision -- ECCV 2020, Springer International Publishing, 2020 mehr…
  • Wu, S.; Tateno, K.; Navab, N.; Tombari, F.: SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion. 2020 International Conference on 3D Vision (3DV), 2020 mehr…
  • Wu, Shun-Cheng; Tateno, Keisuke; Navab, Nassir; Tombari, Federico: SCFusion: Real-time Incremental Scene Reconstruction with Semantic Completion. 2020 International Conference on 3D Vision (3DV), IEEE, 2020 mehr…

2019

  • Dhamo, H.; Navab, N.; Tombari, F.: Object-driven Multi-Layer Scene Decomposition from a Single Image. Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019 mehr…
  • Dhamo, H.; Tateno, K.; Laina, I.; Navab, N.; Tombari, F.: Peeking Behind Objects: Layered Depth Prediction from a Single Image. Pattern Recognition Letters 125, 2019, 333--340 mehr…
  • Gao, Y.; Wang, Y.; falco; Navab, N.; Tombari, F.: Variational Object-aware 3D Hand Pose from a Single RGB Image. IEEE Robotics and Automation Letters 2019, 2019 mehr…
  • Herb, M.; Weiherer, T.; Navab, N.; Tombari, F.: Crowd-sourced Semantic Edge Mapping for Autonomous Vehicles. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 mehr…
  • Manhardt, F.; Arroyo, D.; Rupprecht, C.; Busam, B.; Birdal, T.; Navab, N.; Tombari, F.: Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. , 2019 mehr…
  • Munjal, B.; Amin, S.; Tombari, F.; Galasso, F.: Query-guided End-to-End Person Search. Computer Vision and Pattern Recognition (CVPR), 2019 mehr…
  • Navarro, F.; Conjeti, S.; Tombari, F.; Navab, N.: Leveraging Web Data for Skin Lesion Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2019 mehr…
  • Postel, J.; Ferroni, F.; Coskun, H.; Navab, N.; Tombari, F.: Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation. International Conference on Computer Vision (ICCV), 2019 mehr…
  • Scheel, O.; Nagaraja, N.; Schwarz, L.; Navab, N.; Tombari, F.: Attention-based Lane Change Prediction. , 2019 mehr…
  • Wald, J.; Avetisyan, A.; Navab, N.; Tombari, F.; Niessner, M.: RIO: 3D Object Instance Re-Localization in Changing Indoor Environments. International Conference on Computer Vision (ICCV), 2019 mehr…
  • Wang, Y.; Tan, D. J.; Navab, N.; Tombari, F.: ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image. International Conference on Computer Vision (ICCV), 2019 mehr…
  • Zhao, Y.; Birdal, T.; Deng, H.; Tombari, F.: 3D Point-Capsule Networks. Computer Vision and Pattern Recognition (CVPR), 2019 mehr…

2018

  • Brasch, N.; Bozic, A.; Lallemand, J.; Tombari, F.: Semantic Monocular SLAM for Highly Dynamic Environments. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 mehr…
  • Ghazaei, G.; Laina, I.; Rupprecht, C.; Tombari, F.; Navab, N.; Nazarpour, K.: Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. arXiv preprint arXiv:1811.00793, 2018 mehr…
  • Hodan, T.; Michel, F.; Brachmann, E.; Kehl, W.; Buch, A.; Kraft, D.; Drost, B.; Vidal, J.; Ihrke, S.; Zabulis, X.; Sahin, C.; Manhardt, F.; Tombari, F.; Kim, T.K.; Matas, J.; Rother, C.: BOP: Benchmark for 6D Object Pose Estimation. European Conference on Computer Vision (ECCV), 2018 mehr…
  • Manhardt, F.; Kehl, W.; Navab, N.; Tombari, F.: Deep Model-Based 6D Pose Refinement in RGB. The European Conference on Computer Vision (ECCV), 2018 mehr…
  • Nakajima, Y.; Tateno, K.; Tombari, F.; Saito, H.: Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 mehr…
  • Navarro, F.; Conjeti, S.; Tombari, F.; Navab, N.: Webly Supervised Learning for Skin Lesion Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018 mehr…
  • Rethage, D.; Wald, J.; Sturm, J.; Navab, N.; Tombari, F.: Fully-Convolutional Point Networks for Large-Scale Point Clouds. European Conference on Computer Vision (ECCV), 2018 mehr…
  • Rupprecht, C.; Laina, I.; Navab, N.; Hager, G. D.; Tombari, F.: Guide Me: Interacting with Deep Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 mehr…
  • Scheel, O.; Schwarz, L.; Navab, N.; Tombari, F.: Situation Assessment for Planning Lane Changes: Combining Recurrent Models and Prediction. , 2018 mehr…
  • Tateno, K.; Navab, N.; Tombari, F.: Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images. 15th European Conference on Computer Vision (ECCV), 2018 mehr…
  • Wald, J.; Tateno, K.; Sturm, J.; Navab, N.; Tombari, F.: Real-Time Fully Incremental Scene Understanding on Mobile Platforms. IEEE Robotics and Automation Letters 3 (4), 2018, 3402--3409 mehr…
  • Wang, Y.; Tan, D. J.; Navab, N.; Tombari, F.: Adversarial Semantic Scene Completion from a Single Depth Image. 2018 International Conference on 3D Vision (3DV), 2018 mehr…

2017

  • Coskun, H.; Achilles, F.; DiPietro, R.; Navab, N.; Tombari, F.: Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization. , 2017 mehr…
  • Huang, C.-H.; Allain, B.; Boyer, E.; Franco, J.-S.; Tombari, F.; Navab, N.; Ilic, S.: Tracking-by-Detection of 3D Human Shapes: from Surfaces to Volumes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 mehr…
  • Kehl, W.; Manhardt, F.; Tombari, F.; Ilic, S.; Navab, N.: SSD-6D: Making RGB-Based 3D Detection and 6D Pose Estimation Great Again. International Conference on Computer Vision (ICCV), 2017 mehr…
  • Kehl, W.; Tombari, F.; Ilic, S.; Navab, N.: Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core. , 2017 mehr…
  • Laina, I.; Rieke, N.; Rupprecht, C.; Vizcaino, J. Page; Eslami, A.; Tombari, F.; Navab, N.: Concurrent Segmentation and Localization for Tracking of Surgical Instruments. International Conference on Medical Image Computing and Computer-Assisted Intervention 2017, 2017The first two authors contributed equally to this paper mehr…
  • Lee, S.C.; Fuerst, B.; Tateno, K.; Johnson, A.; Fotouhi, J.; Osgood, G.; Tombari, F.; Navab, N.: Multi-modal Imaging, Model-based Tracking and Mixed Reality Visualisation for Orthopaedic Surgery. , 2017 mehr…
  • Rupprecht, C.; Kapil, A.; Liu, N.; Ballan, L.; Tombari, F.: Learning without prejudice: Avoiding bias in webly-supervised action recognition. Computer Vision and Image Understanding, 2017 mehr…
  • Rupprecht, C.; Laina, I.; DiPietro, R.; Baust, M.; Tombari, F.; Navab, N.; Hager, G. D.: Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 2017, 2017 mehr…
  • Tan, D. J.; Navab, N.; Tombari, F.: 6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality. arXiv preprint arXiv:1709.01459, 2017 mehr…
  • Tan, D. J.; Navab, N.; Tombari, F.: Looking Beyond the Simple Scenarios: Combining Learners and Optimizers in 3D Temporal Tracking. IEEE transactions on visualization and computer graphics 23 (11), 2017, 2399--2409 mehr…
  • Tan, D. J.; Navab, N.; Tombari, F.: Adaptive Learning-based Temporal Tracker for 3D Head Shape Models. , 2017 mehr…
  • Tan, D. J.; Tombari, F.; Navab, N.: Real-Time Accurate 3D Head Tracking and Pose Estimation with Consumer RGB-D Cameras. International Journal of Computer Vision, 2017, 1--26 mehr…
  • Tateno, K.; Tombari, F.; Laina, I.; Navab, N.: CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2017 mehr…
  • Tateno, K.; Tombari, F.; Navab, N.: Large Scale and Long Standing Simultaneous Reconstruction and Segmentation. , 2017 mehr…
  • Vizcaino, J. Page; Rieke, N.; Tan, D. J.; Tombari, F.; Eslami, A.; Navab, N.: Automatic Initialization and Failure Detection for Surgical Tool Tracking in Retinal Microsurgery. Proc. of Workshops Bildverarbeitung für die Medizin (BVM 2017), To be published, 2017 mehr…

2016

  • Achilles, F.; Ichim, A.E.; Coskun, H.; Tombari, F.; Noachtar, S.; Navab, N.: 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, 2016 mehr…
  • Achilles, F.; Tombari, F.; Belagiannis, V.; Loesch, A.M.; Noachtar, S.; Navab, N.: Convolutional neural networks for real-time epileptic seizure detection. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016, 1--6 mehr…
  • Grün, F.; Rupprecht, C.; Navab, N.; Tombari, F.: A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks. , 2016 mehr…
  • Kehl, W.; Holl, T.; Tombari, F.; Ilic, S.; Navab, N.: An Octree-Based Approach towards Efficient Variational Range Data Fusion. , 2016 mehr…
  • Kehl, W.; Milletari, F.; Tombari, F.; Ilic, S.; Navab, N.: Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation. , 2016 mehr…
  • Laina, I.; Rupprecht, C.; Belagiannis, V.; Tombari, F.; Navab, N.: Deeper Depth Prediction with Fully Convolutional Residual Networks. 3D Vision (3DV), 2016 Fourth International Conference on, 2016 mehr…
  • Li, C.; Xiao, H.; Tateno, K.; Tombari, F.; Navab, N.; Hager, G. D.: Incremental Scene Understanding on Dense SLAM. , 2016 mehr…
  • Rieke, N.; Tan, D. J.; Tombari, F.; Vizcaino, J. Page; di San Filippo, C. Amat; Eslami, A.; Navab, N.: Real-Time Online Adaption for Robust Instrument Tracking and Pose Estimation. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2016 mehr…
  • Rieke, N.; Tan, D. J.; di San Filippo, C. Amat; Tombari, F.; Alsheakhali, M.; Belagiannis, V.; Eslami, A.; Navab, N.: Real-time Localization of Articulated Surgical Instruments in Retinal Microsurgery. Medical Image Analysis 34, 2016, 82--100 mehr…
  • Rupprecht, C.; Lea, C.; Tombari, F.; Navab, N.; Hager, G. D.: Sensor Substitution for Video-based Action Recognition. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, October 2016, 2016 mehr…
  • Tateno, K.; Tombari, F.; Navab, N.: When 2.5D is not enough: Simultaneous Reconstruction, Segmentation and Recognition on dense SLAM. , 2016 mehr…

2015

  • Habert, S.; Meng, Ma; Kehl, W.; Wang, Xiang; Tombari, F.; Fallavollita, P.; Navab, N.: Augmenting mobile C-arm fluoroscopes via Stereo-RGBD sensors for multimodal visualization. International Symposium on Mixed and Augmented Reality (ISMAR), 2015 mehr…
  • Huang, C.-H.; Tombari, F.; Navab, N.: Repeatable Local Coordinate Frames for 3D Human Motion Tracking: from Rigid to Non-Rigid. , 2015 mehr…
  • Kehl, W.; Tombari, F.; Navab, N.; Ilic, S.; Lepetit, V.: Hashmod: A Hashing Method for Scalable 3D Object Detection. , 2015 mehr…
  • Milletari, F.; Ahmadi, A.; Kroll, C.; Hennersperger, C.; Tombari, F.; Shah, A.; Plate, A.; Bötzel, K.; Navab, N.: Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations. Medical Image Computing and Computer Assisted Interventions - MICCAI 2015, 2015 mehr…
  • Milletari, F.; Kehl, W.; Tombari, F.; Ilic, S.; Ahmadi, A.; Navab, N.: Universal Hough dictionaries for object tracking. British Machine Vision Conference - BMVC 2015, 2015 mehr…
  • Rieke, N.; Tan, D. J.; Alsheakhali, M.; Tombari, F.; di San Filippo, C. Amat; Belagiannis, V.; Eslami, A.; Navab, N.: Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery. Medical Image Computing and Computer Assisted Interventions - MICCAI 2015, 2015 mehr…
  • Tan, D. J.; Tombari, F.; Ilic, S.; Navab, N.: A Versatile Learning-based 3D Temporal Tracker: Scalable, Robust, Online. International Conference on Computer Vision (ICCV), 2015 mehr…
  • Tan, D. J.; Tombari, F.; Navab, N.: A Combined Generalized and Subject-Specific 3D Head Pose Estimation. International Conference on 3D Vision (3DV), 2015 mehr…
  • Tateno, K.; Tombari, F.; Navab, N.: Real-Time and Scalable Incremental Segmentation on Dense SLAM. , 2015 mehr…
  • Zografos, V.; Valentinitsch, A.; Rempfler, M.; Tombari, F.; Menze, B.: Hierarchical multi-organ segmentation without registration in 3D abdominal CT images. International MICCAI Workshop on Medical Computer Vision, 2015 mehr…