Deep Learning Activities
List of Publications
| 2021 | |
| P. Wang, F. Manhardt, L. Minciullo, L. Garattoni, S. Meier, N. Navab, B. Busam
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 2021 The first two authors contributed equally to this paper. (bib) |
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| 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) |
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| 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) |
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| 2020 | |
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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) |
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S. Zakharov, W. Kehl, A. Bhargava, A. Gaidon
Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020 [oral]. The first two authors contributed equally to this work. (bib) |
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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) |
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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) |
| J.U. Kim, S.T. Kim, E.S. Kim, S.K. Moon, Y.M. Ro
Towards High-performance Objective Detection: Task-specific Design Considering Classification and Localization Separation 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2020. (bib) |
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| 2019 | |
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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) |
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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. Bui, C. Baur, N. Navab, S. Ilic, S. Albarqouni
Adversarial Networks for Camera Pose Regression and Refinement Proceedings of the International Conference on Computer Vision Workshops, 27 October - 2 November, 2019, Seoul (bib) |
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I. Laina, N. Navab, C. Rupprecht
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019. (bib) |
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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) |
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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) |
| A. Maier, C. Syben, T. Lasser, C. Riess
A gentle introduction to deep learning in medical image processing Zeitschrift für medizinische Physik 29(2):86-101, 2019 (bib) |
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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) |
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M. T. Shaban, C. Baur, N. Navab, S. Albarqouni
StainGAN: Stain Style Transfer for Digital Histological Images Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy A pre-print version is available online at arXiv. (bib) |
| 2018 | |
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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) |
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M. Turan, E.P. Ornek, N. Ibrahimli, C. Giracoglu, Y. Almalioglu, M.F. Yanik, M. Sitti
Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots IEEE International Conference on Intelligent Robots and Systems (IROS), Madrid, Spain, October 2018. (bib) |
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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) |
| G. Vivar, A. Zwergal, N. Navab, A. Ahmadi
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion. Proceedings of MICCAI Workshop on Graphs in Biomedical Image Analysis, Granada, Spain, September 2018. (bib) |
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| M. Unberath, , J. Lee, B. Bier, J. Fotouhi, M. Armand, N. Navab
DeepDRR – A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 98 - 106, 2018. The first two authors are joint first authors. (bib) |
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| B. Bier, M. Unberath, , J. Fotouhi, M. Armand, G. Osgood, N. Navab, A. Maier
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 55 - 63, 2018. The first two authors are joint first authors. (bib) |
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M. Molina-Romero, B. Wiestler, PA. Gómez, MI. Menzel, B. Menze
Deep learning with synthetic diffusion MRI data for free-water elimination in glioblastoma cases Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, September 2018 (bib) |
| M. Degel, N. Navab, S. Albarqouni
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound Proceedings of 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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| A. Sanchez, S. Albarqouni, D. Mateus
Capsule Networks against Medical Imaging Data Challenges Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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| F. Milletari, N. Rieke, M. Baust, M. Esposito, N. Navab
CFCM: Segmentation via Coarse to Fine Context Memory Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 (bib) |
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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) |
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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) |
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M. Bui, S. Albarqouni, S. Ilic, N. Navab
Scene Coordinate and Correspondence Learning for Image-Based Localization Proceedings of the British Machine Vision Conference, 3-6 September, 2018, Newcastle (Oral presentation) (bib) |
| C. Baur, B. Wiestler, S. Albarqouni, N. Navab
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Accepted to the Proceedings of the Brain Lesion Workshop at the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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D. Das, E. Coello, A. Sekuboyina, R. Schulte, B. Menze
Direct Estimation of Model Parameters in MR Spectroscopic Imaging using Deep Neural Networks Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018. (bib) |
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M. Bui, S. Zakharov, S. Albarqouni, S. Ilic, N. Navab
When Regression meets Manifold Learning for Object Recognition and Pose Estimation Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 21-25 May, 2018, Brisbane, Australia (bib) |
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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 | |
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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) |
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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) |
| A. Kazi, S. Albarqouni, A. Sanchez, C. Kirchhoff, P. Biberthaler, N. Navab, D. Mateus
Automatic Classification of Proximal Femur Fractures based on Attention Models Proceedings of MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, September 2017 (bib) |
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S. Albarqouni, J. Fotouhi, N. Navab
X-ray In-Depth Decomposition: Revealing The Latent Structures Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. (bib) |
| M. Bui, S. Albarqouni, M. Schrapp, N. Navab, S. Ilic
X-ray PoseNet?: 6 DoF? Pose Estimation for Mobile X-ray Devices Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 24, 2017 - Mar 31, 2017, Santa Rosa, USA The first two authors contribute equally to this paper. (bib) |
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C. Baur, S. Albarqouni, N. Navab
Semi-Supervised Learning for Fully Convolutional Networks Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. The first two authors contribute equally to this paper. (bib) |
| 2016 | |
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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) |
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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) |
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S. Albarqouni, S. Matl, M. Baust, N. Navab, S. Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Athens, Greece, October 2016 The first two authors contribute equally to this paper. (bib) |
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P. Christ, M.E.A. Elshaer, F. Ettlinger, S. Tatavarty, M. Bickel, P. Bilic, M. Rempfler, M. Armbruster, M. Hofmann, M. D'Anastasi, W.H. Sommer, A. Ahmadi, B. Menze
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields Proceedings of the 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Athens, Greece, October 2016 (bib) |
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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) |
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C. Baur, S. Albarqouni, S. Demirci, N. Navab, P. Fallavollita
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes 7th International Conference on Medical Imaging and Augmented Reality (MIAR), 24-26 August, 2016, Bern, Switzerland. (Best Paper Award) (bib) |
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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) |
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F. Milletari, N. Navab, A. Ahmadi
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016, arXiv:1606.04797 (bib) |
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S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016. The first two authors contribute equally to this paper. (bib) |
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F. Milletari, A. Ahmadi, C. Kroll, A. Plate, , , , , , K. Bötzel, N. Navab
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound arXiv:1601.07014 preprint (bib) |
| 2015 | |
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V. Belagiannis, C. Rupprecht, G. Carneiro, N. Navab
Robust Optimization for Deep Regression International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (supplementary mat.) (bib) |
