Skip to content
Menu
Technical University of Munich
Technical University of Munich

Dr. Benjamin Busam


Picture of Benjamin Busam

Technical University of Munich

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

News

Curriculum Vitae

Benjamin Busam is a Senior Research Scientist with the Technical University of Munich coordinating the Computer Vision activities at the Chair for Computer Aided Medical Procedures. Formerly Head of Research at FRAMOS Imaging Systems, he led the 3D Computer Vision Team at Huawei Research, London from 2018 to 2020. Benjamin studied Mathematics at TUM. In his subsequent postgraduate programme, he continued in Mathematics and Physics at ParisTech, France and at the University of Melbourne, Australia, before he graduated with distinction at TU Munich in 2014. In continuation to a mathematical focus on projective geometry and 3D point cloud matching, he now works on 2D/3D computer vision for pose estimation, depth mapping and mobile AR as well as multi-modal sensor fusion. For his work on adaptable high-resolution real-time stereo tracking he received the EMVA Young Professional Award 2015 from the European Machine Vision Association and was awarded Innovation Pioneer of the Year 2019 by Noah's Ark Laboratory, London. He was given multiple Outstanding Reviewer Awards at 3DV 2020, 3DV 2021, ECCV 2022, and CVPR 2024.

Research Interests

  • 3D Computer Vision (Depth, Pose, SLAM, Reconstruction etc.)
  • Multi-Modal Sensor Fusion Concepts and their Medical Applications
  • Collaborative Robotics & Augmented Reality for Healthcare and Medicine
  • Projective & Differential Geometry
  • Machine Learning, Neural Models & Neural Fields

Teaching

Projects

There are always available topics in 3D vision for Master's theses and PhD students with potential industry support.
Our industrial partners are constantly looking for motivated working students, graduates and young professionals. Internships in different fields of application in computer vision are offered.
If you are interested in writing your thesis in 3D vision or some industry experience don't hesitate in contacting me.

until Type Topic By Material
2023 SS Research Internship Video Interpolation with Neural Differential Equations Aude Bouillé  
2022/23 WS MSc Thesis Image-driven Nutrition Data Analysis Thomas Flecken  
2022/23 WS MSc Thesis Understanding Traffic by Observing the Driver: 3D Human Pose for In-Cabin Driver Assistance Iuliia Skobleva  
2022/23 WS Guided Research Class-based Object Pose Estimation for Photometrically Challenging Objects Wessam Frrag
Hongcheng Zhao		  
2022/23 WS Guided Research Semantic Segmentation with 2D-3D Consistency and Sparse Labels Fatma Merve Karali
Mert Kiray
Maximilian Forstenhäusler		  
2022 SS PhD Project 6G for Computer Vision-based Telemedicine Konstantinos Zacharis  
2022 SS MSc Thesis Augmenting Anatomies through Animal Tracking Arian Mehrfard  
2022 SS MSc Thesis Robust Pedestrian Tracking from Uncalibrated Car Cabin Video (with MIT) Lisa-Marie Bernhardt  
2022 SS Practical Project Self-supervised Semantic Segmentation through Cycle-consistency Fatma Merve Karali
Mert Kiray
Maximilian Forstenhäusler
Artem Evdokimov		  
2022 SS Research Internship Continuous Motion Interpolation with Neural ODEs (with École Polytechnique) Maxime Bonnin  
2022 SS Lab Course A Real-Time 3D Viewer for Converted NeRFs Jingyao Yu Project
2022 SS Lab Course Hydration Status Prediction through Automated Urine Colour Analysis (with TopathlEAT) Skander Salah Project
2022 SS Lab Course Deformation-Invariant Local Descriptors for Non-Rigid Point Cloud Registration Eva Voggenreiter
David Niederkofler
Claus Kratzer
Haixin Li		  
2022 SS MSc Thesis Vehicle Lane Detection from Uncalibrated Car Cabin Video (with MIT) Andy Chen  
2022 SS MSc Thesis NeRF-Enhanced 3D Object Detection Hanzhi Chen  
2022 SS MSc Thesis Polarimetric Pose Estimation of Photometrically Challenging Objects Daoyi Gao Paper at ECCV 2022
2021/22 WS PhD Project Flexible Object Pose and Shape Estimation Fu Li Google Scholar
2021/22 WS PhD Project Completion-driven Active Reconstruction Mahdi Hamad  
2021/22 WS MSc Thesis Deep Synthetic Polarimetric 6D Object Pose Estimation Arturo Guridi  
2021/22 WS MSc Thesis Deforming by experience: Realistic shape morphing of unseen objects with embedding-driven geometric optimization Mariem Khlifi  
2021 SS PhD Project Instance-Agnostic Monocular 6D Pose Estimation Fabian Manhardt Google Scholar
2021 SS Guided Research Attention meets Geometry for Consistent Monocular Depth Estimation Daoyi Gao
Hanzhi Chen		 Paper at 3DV 2021
2021 SS MSc Thesis Robotic Path Optimization for Ultrasound Compounding Viviana Sutedjo Paper at RA-L / IROS 2021
2021 SS Lab Course Visualization of logged athlete-diets (with TopathlEAT) Haichuan Project
2021 SS Lab Course Automatic Nutrition Analysis from Images (with TopathlEAT) Thomas Flecken Project
2020/21 WS Practical Project Polarimetric Pose Estimation Magdalena Gawlinska
Yitong Li
Iuliia Skobleva		 Paper at ECCV 2022
2020/21 WS Practical Project Temporally Consistent Video Depth Daoyi Gao
Hanzhi Chen		  
2020 SS MSc Thesis Self-supervised Depth Estimation from Polarization Imagery Barnabé Mas  
2020 SS Practical Project Depth-aware Mixed Reality: Capture the AR-Flag Muhammad Faizan
Ihsan B. Balaban
Jeremias Neth		  
2019/20 WS MSc Thesis 6D Pose Tracking as an Action Decision Process HyunJun Jung  
2019 SS MSc Thesis A Geometric View of Rotation Representations in Computer Vision and Deep Learning Konstantinos Zacharis  
2018/19 WS Practical Project Observing Environment Statistics - Anomaly Detection Elias Marquart
Tobias Eder
Varnika Tyagi		  
2018/19 WS Practical Project Mobile Indoor Navigation Nour AlOrjany
Ritvik Ranadive
Stefano Gasperini		  
2018/19 WS Seminar Presentation CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM Hooriya Anam Paper
2018/19 WS Lab Course Spatio-temporal Depth Estimation in Real-Time HyunJun Jung Project Proposal
KickOff
2018 SS Working Student Depth Accuracy Improvements for Active Stereo Sensing HyunJun Jung Results
2018 SS Working Student A modular implementation of feature based SLAM Miguel Trasobares Baselga  
2018 SS MSc Thesis Object Pose Estimation with PointNet Michael Haberl Presentation
Thesis
2018 SS Lab Course Real-time Gaze Estimation Matthieu Hongtao Zhang Project Proposal
Requirement Presentation
Intermediate Presentation
Final Presentation
2018 SS Lab Course Motion Interpolation and Sensor Fusion Antoine Keller
Violeta Sofia Morales
Lennart Bastian		 Project Proposal
Poster
Report
Final Presentation
2017/18 WS MSc Thesis Hybrid sensor fusion with dual quaternion based EKF for pose estimation in real-time Charalampos Papathanasis KickOff
Presentation
Thesis
2017/18 WS Interdisciplinary Project A mixed reality application for needle targeting with trifocal stereo in real-time Thomas Sennebogen KickOff
Final Presentation
2017/18 WS Lab Course Dyna-Eye: A dynamic 2D-3D Stereo Viewer Ruiqi Gong Project Proposal
Requirement Presentation
Intermediate Presentation
Final Presentation
2017/18 WS Lab Course Gaze Estimation with Pupil Tracking in Real-Time Tomas Bartipan Project Proposal
Requirement Presentation
Intermediate Presentation
Final Presentation
2017/18 WS Seminar Presentation Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs Tobias Valinski Paper
Report
Presentation
2017/18 WS BSc Thesis Pose-aware rendering of live ultrasound data for mixed medical AR Felix Scheidhammer KickOff
Final Presentation
Thesis
2017 SS Lab Course Disparity Determination in Stereo Vision Lu Sang
Michael Haberl
Raphael Ullmann		 MidTerm Presentation
Poster
Final Presentation
2017 SS Lab Course Magic Eye: An adaptive 2D-3D Stereo Viewer Aleksandr Bulankin Project Proposal
Intermediate Presentation
Final Presentation
2017 SS Lab Course Pose Interpolation with Dual Quaternion Series Ekaterina Kanaeva Project Proposal
Intermediate Presentation
Final Presentation
2017 SS Lab Course Activity Classification with Persistent Homology Barcodes Ester Molero Hidalgo Project Proposal
Intermediate Presentation
Final Presentation
2016/17 WS MSc Thesis Monocular Reconstruction and Tracking in non-rigid Environments Patrick Ruhkamp KickOff
Thesis
2016/17 MSc Thesis Natural marker extraction and learning for binocular images and 6D pose estimation Mahdi Saleh KickOff
Final Presentation
Thesis
2016/17 IFL/FRAMOS Project Hybrid opto-inertial Tracking Systems Faisal Kalim Final Presentation
2016/17 WS Lab Course Automatic Pose Synchronization Charalampos Papathanasis Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2016/17 WS Lab Course A virtual multi-view Optical Tracking System Mahdi Hamad Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2016/17 WS Lab Course FMtrack - Optical Tracking System for Medical Procedural Simulator Ramona Schneider Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2016/17 WS Seminar Presentation Fusion4D: Real-Time Performance Capture of Challenging Scenes Felix Scheidhammer Report
Presentation
2016/17 WS Seminar Presentation Learning With Side Information Through Modality Hallucination Nan Yang Report
Presentation
2016 SS Lab Course Project A hybrid opto-inertial Tracking System Prototype Faisal Kalim Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2016 SS Lab Course Project A vision based anthropometric Scanner for dynamic Scenes Ahmed El-Gazzar Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2015/16 WS Lab Course Project Needle tracking for ultrasound-guided biopsies with inside-out vision Thomas Sennebogen Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2015/16 WS Lab Course Project Visualizing the volumetric accuracy of medical tracking solutions Stefan Matl Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2015/16 WS Seminar Presentation Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture Christoph Baur Report
Presentation
2015/16 WS Seminar Presentation Computing the Stereo Matching Cost with a Convolutional Neural Network Markus Herb Report
Presentation
2015 SS Lab Course Project Reducing the orthopaedic risk of cycling with a vision-based anthropometric scanner Mahdi Saleh Project Proposal
Project Requirement Presentation
Intermediate Presentation
Final Presentation
2014/15 WS Seminar Presentation Rapid object detection using a boosted cascade of simple features Christos Stoilas Report
Presentation
2014/15 WS Seminar Presentation Distinctive image features from scale-invariant keypoints Amin Ahantab Report
Presentation
2014 SS Bachelor's Thesis Monocular Real Time Tracking With Passive Circular Markers Ahmed Matar Thesis

Awards and Scholarships

Publications

Search
No result

Note: This “quick search” only finds text in the shown fields, not in abstracts or keywords. The search term must have at least 3 letters.

2024

  • Alexander Lehner; Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari: 3D Adversarial Augmentations for Robust Out-of-Domain Predictions. International Journal of Computer Vision (IJCV) 132, 2024, 931–963 more…
  • Zhai, Guangyao; Örnek, Evin Pınar; Chen, Dave Zhenyu; Liao, Ruotong; Di, Yan; Navab, Nassir; Tombari; Federico Busam, Benjamin: EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion. European Conference on Computer Vision, 2024 more…

2023

  • Bastian, Lennart; Baumann, Alexander; Hoppe, Emily; Bürgin, Vincent; Kim, Ha Young; Saleh, Mahdi; Busam, Benjamin; Navab, Nassir: S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 more…
  • Bastian, Lennart; Bürgin, Vincent; Kim, Ha Young; Baumann, Alexander; Busam, Benjamin; Saleh, Mahdi; Navab, Nassir: On the Localization of Ultrasound Image Slices Within Point Distribution Models. In: Shape in Medical Imaging. Springer Nature Switzerland, 2023 more…
  • Bastian, Lennart; Derkacz-Bogner, Daniel; Wang, Tony D.; Busam, Benjamin; Navab, Nassir: SegmentOR: Obtaining Efficient Operating Room Semantics Through Temporal Propagation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 more…
  • Bastian, Lennart; Wang, Tony Danjun; Czempiel, Tobias; Busam, Benjamin; Navab, Nassir: DisguisOR: holistic face anonymization for the operating room. International Journal of Computer Assisted Radiology and Surgery 18 (7), 2023, 1209-1215 more…
  • Stefano Gasperini; Alvaro Marcos-Ramiro; Michael Schmidt; Nassir Navab; Benjamin Busam; Federico Tombari: Segmenting Known Objects and Unseen Unknowns without Prior Knowledge. IEEE/CVF International Conference on Computer Vision (ICCV), 2023 more…
  • Wysocki, Magdalena; Azampour, Mohammad Farid; Eilers, Christine; Busam, Benjamin; Salehi, Mehrdad; Navab, Nassir: Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 2023 more…
  • Zhai, Guangyao; Huang, Dianye; Wu, Shun-Cheng; Jung, HyunJun; Di, Yan; Manhardt, Fabian; Tombari, Federico; Navab, Nassir; Busam, Benjamin: MonoGraspNet: 6-DoF Grasping with a Single RGB Image. 2023 IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2023 more…
  • Zhai, Guangyao; Örnek, Evin Pınar; Wu, Shun-Cheng; Di, Yan; Tombari, Federico; Navab, Nassir; Busam, Benjamin: CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs. Thirty-seventh Conference on Neural Information Processing Systems, 2023 more…
  • Zhu, Dekai; Zhai, Guangyao; Di, Yan; Manhardt, Fabian; Berkemeyer, Hendrik; Tran, Tuan; Navab, Nassir; Tombari, Federico; Busam, Benjamin: IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 more…

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 more…
  • Bastian, Lennart; Czempiel, Tobias; Heiliger, Christian; Karcz, Konrad; Eck, Ulrich; Busam, Benjamin; Navab, Nassir: Know your sensORs - A Modality Study For Surgical Action Classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11 (4), 2022, 1113-1121 more…
  • Dehghani, Shervin; Busam, Benjamin; Navab, Nassir; Nasseri, Ali: BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks. arXiv preprint arXiv:2206.04558, 2022 more…
  • Dehghani, Shervin; Sommersperger, Michael; Yang, Junjie; Salehi, Mehrdad; Busam, Benjamin; Huang, Kai; Gehlbach, Peter; Iordachita, Iulian; Navab, Nassir; Nasseri, M Ali: ColibriDoc: An Eye-in-Hand Autonomous Trocar Docking System. 2022 International Conference on Robotics and Automation (ICRA), 2022 more…
  • Gao, Daoyi; Li, Yitong; Ruhkamp, Patrick; Skobleva, Iuliia; Wysock, Magdalena; Jung, HyunJun; Wang, Pengyuan; Guridi, Arturo; Busam, Benjamin: Polarimetric Pose Prediction. European Conference on Computer Vision (ECCV), 2022 more…
  • Li, Fu; Shugurov, Ivan; Busam, Benjamin; Li, Minglong; Yang, Shaowu; Ilic, Slobodan: Polarmesh: A star-convex 3d shape approximation for object pose estimation. IEEE Robotics and Automation Letters 7 (2), 2022, 4416--4423 more…
  • Li, Fu; Shugurov, Ivan; Busam, Benjamin; Yang, Shaowu; Ilic, Slobodan: Ws-ope: Weakly supervised 6-d object pose regression using relative multi-camera pose constraints. IEEE Robotics and Automation Letters 7 (2), 2022, 3703--3710 more…
  • 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 more…
  • 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 more…
  • Shugurov, Ivan; Li, Fu; Busam, Benjamin; Ilic, Slobodan: OSOP: A Multi-Stage One Shot Object Pose Estimation Framework. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 more…
  • 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 more…
  • Sutedjo, Viviana; Tirindelli, Maria; Eilers, Christine; Simson, Walter; Busam, Benjamin; Navab, Nassir: Acoustic Shadowing Aware Robotic Ultrasound: Lighting up the Dark. IEEE Robotics and Automation Letters 7 (2), 2022, 1808-1815 more…
  • Verdié, Yannick; Song, Jifei; Mas, Barnabé; Busam, Benjamin; Leonardis, Aleš; McDonagh, Steven: CroMo: Cross-Modal Learning for Monocular Depth Estimation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 more…
  • Vutukur, Shishir Reddy; Shugurov, Ivan; Busam, Benjamin; Hutter, Andreas; Ilic, Slobodan: WeLSA: Learning To Predict 6D Pose From Weakly Labeled Data Using Shape Alignment. European Conference on Computer Vision (ECCV), 2022 more…
  • Wang, Pengyuan; Jung, HyunJun; Li, Yitong; Shen, Siyuan; Srikanth, Rahul Parthasarathy; Garattoni, Lorenzo; Meier, Sven; Navab, Nassir; Busam, Benjamin: PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 more…
  • Zhai, Guangyao; Zheng, Yu; Xu, Ziwei; Kong, Xin; Liu, Yong; Busam, Benjamin; Ren, Yi; Navab, Nassir; Zhang, Zhengyou: DA^2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping. IEEE Robotics and Automation Letters 7 (4), 2022, 8941--8948 more…
  • Zielke, John; Eilers, Christine; Busam, Benjamin; Weber, Wolfgang; Navab, Nassir; Wendler, Thomas: RSV: Robotic Sonography for Thyroid Volumetry. IEEE Robotics and Automation Letters 7 (2), 2022, 3342-3348 more…

2021

  • Czempiel, T.; Paschali, M.; Kim, S.; Ostler, D.; Busam, B.; Navab, N.: OperA: Attention-Regularized Transformers for Surgical Phase Recognition. arXiv preprint arXiv:2103.03873, 2021 more…
  • Gao, Daoyi; Li, Yitong; Ruhkamp, Patrick; Skobleva, Iuliia; Wysocki, Magdalena; Jung, HyunJun; Wang, Pengyuan; Guridi, Arturo; Navab, Nassir; Busam, Benjamin: Polarimetric Pose Prediction. arXiv PrePrint, 2021 more…
  • Jung, HyunJun; Brasch, Nikolas; Leonardis, Ales; Navab, Nassir; Busam, Benjamin: Wild ToFu : Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. Proceedings of the IEEE International Conference on 3D Vision (3DV), 2021, 2021 more…
  • Ruhkamp, Patrick; Gao, Daoyi; Chen, Hanzhi; Navab, Nassir; Busam, Benjamin: Spatial-Temporal Attention through Self-Supervised Geometric Guidance - Poster. 2021 more…
  • Ruhkamp, Patrick; Gao, Daoyi; Chen, Hanzhi; Navab, Nassir; Busam, Benjamin: Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation - Supplementary Material. 2021 more…
  • Ruhkamp, Patrick; Gao, Daoyi; Chen, Hanzhi; Navab, Nassir; Busam, Benjamin: Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation. International Conference on 3D Vision , 2021 more…
  • 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 more…
  • 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 more…
  • Wang, P.; Manhardt, F.; Minciullo, L.; Garattoni, L.; Meier, S.; Navab, N.; Busam, B.: DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. , 2021 more…
  • Yu, Hao; Li, Fu; Saleh, Mahdi; Busam, Benjamin; Ilic, Slobodan: CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration. Advances in Neural Information Processing Systems 34, 2021 more…

2020

  • Barroso-Laguna, A.; Verdie, Y.; Busam, B.; Mikolajczyk, K.: HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning. Asian Conference on Computer Vision, 2020 more…
  • Busam, B.; Jung, H. J.; Navab, N.: I Like to Move It: 6D Pose Estimation as an Action Decision Process. arXiv, 2020 more…
  • Hernandez-Juarez, D.; Parisot, S.; Busam, B.; Leonardis, A.; Slabaugh, G.; McDonagh, S.: A Multi-Hypothesis Approach to Color Constancy. Conference on Computer Vision and Pattern Recognition (CVPR), 2020 more…
  • Lopez-Rodriguez, A.; Busam, B.; Mikolajczyk, K.: Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data. Asian Conference on Computer Vision, 2020 more…
  • Manhardt, F.; Wang, G.; Busam, B.; Nickel, M.; Meier, S.; Minciullo, L.; Ji, X.; Navab, N.: CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning. arXiv preprint arXiv:2003.05848v3, 2020 more…
  • Ruhkamp, P.; Gong, R.; Navab, N.; Busam, B.: DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching. arXiv, 2020 more…
  • 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 more…

2019

  • Birdal, T.; Busam, B.; Navab, N.; Ilic, S.; Sturm, P.: Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 more…
  • Busam, B.; Hog, M.; McDonagh, S.; Slabaugh, G.: SteReFo: Efficient Image Refocusing with Stereo Vision. IEEE International Conference on Computer Vision Workshop (ICCVW), 2019 more…
  • 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 more…

2018

  • Birdal, T.; Busam, B.; Navab, N.; Ilic, S.; Sturm, P.: A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds. Computer Vision and Pattern Recognition (CVPR), 2018 more…
  • Busam, B.; Ruhkamp, P.; Virga, S.; Lentes, B.; Rackerseder, J.; Navab, N.; Hennersperger, C.: Markerless Inside-Out Tracking for 3D Ultrasound Compounding. Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, Springer International Publishing, 2018 more…

2017

  • Busam, B.; Birdal, T.; Navab, N.: Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions. IEEE International Conference on Computer Vision Workshop (ICCVW), 2017 more…

2016

  • Busam, B.; Esposito, M.; Frisch, B.; Navab, N.: Quaternionic Upsampling: Hyperspherical Techniques for 6 D-o-F Pose Tracking. IEEE International Conference on 3DVision, 2016 more…
  • Esposito, M.; Busam, B.; Hennersperger, C.; Rackerseder, J.; Navab, N.; Frisch, B.: Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies. International Journal of Computer Assisted Radiology and Surgery, 2016, 1--11 more…

2015

  • Busam, B.; Esposito, M.; Che'Rose, S.; Navab, N.; Frisch, B.: A Stereo Vision Approach for Cooperative Robotic Movement Therapy. IEEE International Conference on Computer Vision Workshop (ICCVW), 2015 more…
  • Esposito, M.; Busam, B.; Hennersperger, C.; Rackerseder, J.; Lu, A.; Navab, N.; Frisch, B.: Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy. Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2015 more…
To top