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Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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Results from CAMPing2015 web
Participants Update 16.04.2015: REGISTRATION CLOSED! Please also put your name in one of the travel lists , too. Note for external !PhDs only: Please also register ...
ImVis Program 2015 Program Flyer Please download the PDF version of the program flyer and the PDF version of the list of talks Schedule Preliminary program (28.04 ...

Number of topics: 2
Results from Chair web
CNN Feature Visualization Library for !MatConvNet Felix Grün, Christian Rupprecht, Nassir Navab, and Federico Tombari, ICML Workshop on Visualization for Deep Learning ...
OfficesGarching Cristina Piazza BR 49 (89) 289-19427 03.13.061 03.13.059 03.13.060 03.13.057 03.13.058 03.13.055 03.13.056 03.13.053 03.13.054 03.13.052 03.13.043 ...
Research in Computer Vision TOC About The Computer Vision Team at the CAMP Chair mostly focuses its research activity on two main topics: real-time computer vision ...
Oberseminar: Computer Aided Medical Procedures and Augmented Reality Prof. Dr. Nassir Navab Weekly meeting Friday, 10:30am in MI 03.13.010 Talk Duration INCLUDE{ ...
Praktikum/Lab Course Perception and Learning in Robotics and Augmented Reality This praktikum introduces common tools and principles in computer vision and machine ...
Praktikum/Lab Course Perception and Learning in Robotics and Augmented Reality This praktikum introduces common tools and principles in computer vision and machine ...
Praktikum/Lab Course Perception and Learning in Robotics and Augmented Reality This praktikum introduces common tools and principles in computer vision and machine ...
Hauptseminar/Master Seminar: (Computer) Vision in Animal Behaviour Studies Prof. Nassir Navab, Dr. Federico Tombari, Nicola Rieke, Hemal Naik Type: Advanced Seminar ...
Hauptseminar/Master Seminar: Deep Generative Models SS2018 Team: Prof. Nassir Navab, Dr. Vasileios Belagiannis, Dr. Federico Tombari, Iro Laina, Magda Paschali, Leslie ...
Lab Course / Praktikum: Project Management and Software Development for Medical Applications by Prof. Nassir Navab Team : Beatrice Lentes, Javier Esteban, Mahdi Saleh ...
Seminar: Computer Vision and Deep Learning for Autonomous Driving PD Dr. Federico Tombari, Fabian Manhardt, Helisa Dhamo, Shun-Cheng Wu, Manuel Nickel Type: Seminar ...
Seminar: Computer Vision and Deep Learning for Autonomous Driving PD Dr. Federico Tombari, Nikolas Brasch, Shun-Cheng Wu, Mahdi Saleh Type: Seminar Module IN0014 ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision and Deep Learning PD Federico Tombari, Nikolas Brasch, Evin Pinar Ornek, HyunJun Jung Course number ...
Bachelor Seminar: Foundations of Computer Vision Prof. Nassir Navab, Federico Tombari, Vasileios Belagiannis, Felix Achilles, Wadim Kehl, Benjamin Busam Type: Seminar ...
Hauptseminar/Master Seminar: 3D Computer Vision Prof. Nassir Navab, Federico Tombari, Vasileios Belagiannis, Felix Achilles, Wadim Kehl, Benjamin Busam Type: Advanced ...
Lab Course / Praktikum: Project Management and Software Development for Medical Applications by Prof. Nassir Navab and Dr. Benjamin Frisch Tutors: Felix Achilles ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision Prof. Nassir Navab, Federico Tombari, Christian Rupprecht, Felix Achilles, Wadim Kehl, Benjamin Busam ...
Lab Course / Praktikum: Project Management and Software Development for Medical Applications by Prof. Nassir Navab and Dr. Ulrich Eck and Dr. Benjamin Frisch Tutors ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision Prof. Nassir Navab, Federico Tombari, Christian Rupprecht Type: Advanced Seminar Course Module IN8901 ...
Seminar: Foundations of Computer Vision Prof. Nassir Navab, Federico Tombari Type: Seminar SWS: 2+0 ECTS: 4 Credits Location: Seminarraum (5613.03.010) Time: 16:00 ...
Hauptseminar/Master Seminar: Deep Generative Models WS2017/2018 Prof. Nassir Navab, Dr. Vasileios Belagiannis, Dr. Federico Tombari, Iro Laina, Christian Rupprecht ...
Lab Course / Praktikum: Project Management and Software Development for Medical Applications by Prof. Nassir Navab Tutors : Beatrice Lentes, Benjamin Busam Javier ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision and Deep Learning Prof. Nassir Navab, Federico Tombari, Iro Laina, Christian Rupprecht, Helisa Dhamo ...
Seminar: Foundations of Computer Vision Prof. Nassir Navab, Dr. Federico Tombari, Fabian Manhardt, Johanna Wald Type: Seminar Module IN0014 SWS: 2+0 ECTS: 5 Credits ...
Seminar: Computer Vision and Deep Learning for Autonomous Driving PD Dr. Federico Tombari, Prof. Nassir Navab, Fabian Manhardt, Johanna Wald Type: Seminar Module ...
Hauptseminar/Master Seminar: Deep Generative Models WS2018 Team: Prof. Nassir Navab, Dr. Vasileios Belagiannis, Dr. Federico Tombari, Iro Laina, Magda Paschali, Leslie ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision and Deep Learning PD Federico Tombari, Prof. Nassir Navab, Iro Laina, Helisa Dhamo Course number ...
Seminar: Foundations of Computer Vision Prof. Nassir Navab, Dr. Federico Tombari, Fabian Manhardt, Johanna Wald Type: Seminar Module IN0014 SWS: 2+0 ECTS: 5 Credits ...
Seminar: Computer Vision and Deep Learning for Autonomous Driving PD Dr. Federico Tombari, Helisa Dhamo, Shun-Cheng Wu, Yida Wang, Yanyan Li Type: Seminar Module ...
Hauptseminar/Master Seminar: Recent Trends in 3D Computer Vision and Deep Learning PD Federico Tombari, Fabian Manhardt, Johanna Wald Course number: Module IN4826 ...
Seminar: Computer Vision and Deep Learning for Autonomous Driving PD Dr. Federico Tombari, Nikolas Brasch, Shun-Cheng Wu, Mahdi Saleh, Fabian Manhardt, Yanyan Li ...
Lab Course / Praktikum: Praktikum on 3D Computer Vision by PD Dr.-Ing. Federico Tombari Team : Benjamin Busam, Nikolas Brasch, Mahdi Saleh, Yida Wang, Shun-Cheng ...
document.title "Chair for Computer Aided Medical Procedures and Augmented Reality Lehrstuhl für Informatikanwendungen in der Medizin und Augmented Reality"; self ...
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Number of topics: 34
Results from DeepLearning2016? web
Program TABLE{headerbg "#384E91" databg "#C7E1F3 , #50A5D3" tableborder "0" cellpadding "3" cellspacing "2"} Time Tuesday 5 April Wednesday 6 April Thursday 7 ...

Number of topics: 1
Results from DeepLearning2017? web
Program April 3rdDay 1 / Foundations of Deep Learning 9.00 9.15 Prof. Dr. Nassir Navab Chair for Computer Aided Medical Procedures and Augmented Reality, Fakult ...
Speakers Prof. Dr. Nassir Navab Chair for Computer Aided Medical Procedures and Augmented Reality, Fakultät für Informatik, Technische Universität München Dr. Federico ...
Deep Learning for Industry is an event aimed at providing participants with the theoretical foundations and the practical tools necessary to understand and develop ...
Home Speakers Program Attend Contact
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Number of topics: 5
Results from Events web
CAMP Pizza December Edition Date: Wednesday, December 9th, 2020 Time: 10:00 15:00 Virtual Meeting: via Zoom (login password on invitation flyer). About The last ...
CAMP Pizza July Edition Date: Tuesday, July 6th, 2021 Time: 09:30 14:20 Meeting link: Detailed information included in invitation email. About The CAMPPizza in 2021 ...
Invited Talk by Federico Tombari: Detection of objects and structures of interest using shape information BR Speaker: Federico Tombari Date: Friday, May 16, 2014 ...
CAMP@TUM offers 4 International Undergraduate Excellence Awards in 2018: to the best international undergraduate applicants CAMP@TUM offers 4 International Undergraduate ...
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Number of topics: 5
Results from ImVis2015? web
Participants Update 16.04.2015: REGISTRATION CLOSED! Please also put your name in one of the travel lists , too. Note for external !PhDs only: Please also register ...
ImVis Program 2015 Program Flyer Please download the PDF version of the program flyer and the PDF version of the list of talks Schedule Preliminary program (28.04 ...

Number of topics: 2
Results from ImVis2016? web
Participants Participation is free for CAMPers. However, costs for your family will be charged to you directly. If you are an external !PhD student, please contact ...

Number of topics: 1
Results from ImVis2017? web
Participants Participation is free for CAMP members. However, costs for your family will be charged to you directly. If you are an external !PhD student, please contact ...
Talks You can download the talk schedule here Keynote Speakers TABLE{sort "off"} # Name Title 1 Prof. Dr. Dieter Schmalstieg Inverse Rendering for Photorealistic ...
Statistics for ImVis2017 Web Month: Topic views: Topic saves: File uploads: Most popular topic views: Top contributors for topic save and uploads: Sep 2021 167 0 ...

Number of topics: 3
Results from Main web
Dr. Chun-Hao Paul Huang ( #40643; #20426; #35946;) Contact email paulch DOT huang AT tum DOT de personal webpage http://paulchhuang.wixsite.com/chhuang office tel ...
Contact PD Dr. Ing. Habil. Federico Tombari BR Email: tombari at in.tum.de Address: BR Chair for Computer Aided Medical Procedures Augmented Reality BR Fakultät f ...
Contact Hemal Naik BR Name: Hemal Naik Email: naik@in.tum.de , hnaik@orn.mpg.de Twitter : @hmnaik Address: BR Dept. of collective Behavior Couzin Lab Universitätsstra ...
The CAMP Staff Group Set GROUP WolfgangWein, NassirNavab, MartinaHilla, GudrunKlinker, MarcusToennis, DanielPustka, KatharinaPentenrieder, VerenaBroy, AndreasKeil ...
List of TWiki users Please take the time and add yourself to the list. To do that fill out the form in TWIKIWEB .TWikiRegistration. This will create an account for ...
document.title "Dr. Vasileios Zografos" Dr. Vasileios Zografos TU München IMETUM Boltzmannstr. 11 D-85748 Garching Germany Office: Tel: 49 89 289 10841 Email: vasileios ...
Reconstructing the MI. Building in a Day Advisor: Federico Tombari Supervision by: Yanyan Li
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Statistics for Main Web Month: Topic views: Topic saves: File uploads: Most popular topic views: Top contributors for topic save and uploads: Sep 2021 1193457 8 0 ...
Contact Yida Wang BR Email: yida.wang at tum.de BR Address: BR Chair for Computer Aided Medical Procedures Augmented Reality BR Fakultät für Informatik BR Technische ...

Number of topics: 9
Results from Students web
Bachelor Thesis: MRF as regularizations on forest predictions for matching meshes Student: Vera Hug Advisor: Prof. Dr. Nassir Navab Supervised by: Chun-Hao Paul Huang ...
Vision-based Robotic Pick and Place (with KUKA Roboter GmbH) This project aims at integrating robust algorithms for object pose estimation and tracking as vision ...
DA/MA/BA Thesis: RGB-D Object Detection with Deep Learning We offer a Master Thesis in the field of autonomous robotics that deals with the development of 3D object ...
Master's thesis Supervision by: Iro Laina, Keisuke Tateno, Federico Tombari Thesis by: Helisa Dhamo Abstract Structured light sensors consisting of an infrared camera ...
Efficient Object Detection using Fully Convolutional Neural Networks Thesis by : Bharti Munjal Supervision: Iro Laina, Federico Tombari Abstract In recent years ...
Master's thesis Supervision by: Iro Laina, Dr. Federico Tombari Thesis by: Andrei Militaru Abstract In recent years #44; deep learning based methods have been developed ...
BA/MA/IDP thesis: FORMFIELD{"Title"} Thesis by: FORMFIELD{"Student"} Advisor: FORMFIELD{"Director"} Supervision by: FORMFIELD{"Supervisor"} Abstract FORMFIELD{"Abstract ...
Pedestrian Detection and Pose Estimation for Autonomous Driving Abstract Autonomous driving systems are right on the corner and one key concern around the development ...
Master Thesis: Structured learning with random forests Student: Advisor: Prof. Dr. Nassir Navab Supervised by: Chun-Hao Paul Huang, Dr. Federico Tombari. Overview ...
IDP / Dipl. / Master Thesis: Deformable Human Shape matching via Volumetric representation Student: Bibiana do Canto Angonese Advisor: Prof. Dr. Nassir Navab Supervised ...
Master's thesis Supervision by: Iro Laina, Christian Rupprecht, Federico Tombari Thesis by: Marat Seroglazov Abstract During the past few years, remarkable progress ...
BA/MA/IDP: Feature Visualization for Skin Lesions Advisor: Federico Tombari Supervision by:Fernando Navarro Abstract Deep neural networks have proven to give an outstanding ...
Evaluation of real-time dense reconstruction for robotic navigation Abstract In recent years different methods for real-time dense reconstruction have been proposed ...
Self-supervised Monocular Depth Estimation with Geometric Regularities We offer a master (or guided research) topic in the field of computer vision and robotics, ...
Investigating 3D Capsule Networks Abstract In recent years, convolutional neural networks (CNN) have been a key component in the progress of computer vision by means ...
Fourier Neural Networks for 3D Scene Understanding Abstract In the scope of this guided research, we want to investigate the effect of changing dimensions and domain ...
Hiwi position: 3D Scene Graph in OR Dataset and Benchmarking Advisor: Evin Pinar Ornek Starting date: End of July Abstract With the aim of holistic Operating Room ...
Pedestrian Detection and Pose Estimation for Autonomous Driving Abstract Autonomous driving systems are right on the corner and one key concern around development ...
3D Object Detection and Flow Estimation in Dynamic Surgical Environments Abstract 3D object detection is the task of detecting 3D bounding box locations of objects ...
Invariant Landmark Detection for highly accurate positioning. An essential task to enable highly autonomous driving is the self-localization and ego-motion estimation ...
Action Recognition and Generation With RNNs Human action understanding and generation is a high-level concept and very hot topic in computer vision. Deep learning ...
Adversarial Multiple Hypothesis Prediction In a recent work we studied the possibilities of predicting multiple hypotheses with a single CNN. This helps in cases ...
Master/Bachelor Thesis in Autonomous Driving in collaboration with Apex AI We offer Master/Bachelor thesis topics in the field of Autonomous Driving in collaboration ...
Thesis or Guided Research in Autonomous Driving related topics Abstract The field of Autonomous Driving is currently one of the strongest pull factors for cutting ...
Vision-based Robotic Pick and Place (with KUKA Roboter GmbH) This project aims at integrating robust algorithms for object pose estimation and tracking as vision ...
DA/MA/BA Thesis: RGB-D Object Detection with Deep Learning We offer a Master's Thesis in the field of autonomous robotics that deals with the development of 3D object ...
Lazy Camera Calibration Toolbox Development We offer a guided research project in the field of computer vision and robotics, which aims to develop a new efficient ...
Deep Learning-based 2D-3D Correspondence Matching for Object 6DoF Pose Estimation Abstract 6DoF object pose estimation has a great meaning in augmented reality and ...
Feature Visualization for Deep Neural Networks Supervision: Christian Rupprecht, Federico Tombari In this project we would like to explore the possibilities to get ...
Deep Learning on visual data in the context of autonomous driving. We are offering a thesis in collaboration with BMW focusing on the application of deep learning ...
Deep Learning for Multi-View Stereo Abstract In the past few years Deep Learning has succesfully been employed to solve the Multi-View Stereo Problem. Deep Learning ...
3D Scene Understanding Leveraging Scene Graphs For a collaboration with researchers from Google, we are currently looking for a very motivated student interested ...
BA/MA: Feature Visualization for Skin Lesions Advisor: Federico Tombari Supervision by:Fernando Navarro Abstract Deep neural networks have proven to give an outstanding ...
Deep Stereo Supervision: Christian Rupprecht, Federico Tombari In this project we aim at developing a method for learning how to predict stereo disparities from a ...
Evaluation of real-time dense reconstruction for robotic navigation Abstract In recent years different methods for real-time dense reconstruction have been proposed ...
Self-supervised Monocular Depth Estimation with Structure Regularities We offer a master (or guided research) topic in the field of autonomous driving, which aims ...
Dynamic objects in dense reconstruction Abstract Dense reconstruction is an active field of research with the goal to provide a detailed 3D representation of an environment ...
A study of existing self-supervised depth estimations Abstract Self-supervised depth estimation shows the promising result in the outdoor environment. However, there ...
Explained Predictions Supervision: Christian Rupprecht, Iro Laina, Federico Tombari Student: Sharru Möller The goal of this master’s thesis is to study and elaborate ...
MaGANSemSeg Here is a pipeline for Fully Convolutional Refined Auto Encoding Generative Adversarial Networks for 3D Multi Object Scenes: The codes are released here ...
High Dimensional Regression Using Deep Neural Networks Supervision: Christian Rupprecht Student: Iro Laina In recent years, Convolutional Neural Networks (CNNs) have ...
Camera based Head-Up-Display Brightness Control Modern cars use head-up displays (HUD) to make information available to the driver without the necessity to take the ...
Hand Pose Estimation from Depth Data A key challenge in modern robotics and biomedical engineering is to design artificial hands able to reproduce human abilities ...
3D Human Pose Estimation from RGB Images Abstract Human pose estimation has received a lot of attention in the past years, also thanks to the advent of deep neural ...
Humanlike Robot Movement bla bla Supervision: Christian Rupprecht, Salvatore Virga, Federico Tombari For further information please contact: Christian Rupprecht ...
Perception for humanoid robotics We offer Master theses/Guided Research topics in the field of computer vision and robotics, in collaboration with the Chair of Applied ...
indoorSLAM: Robust RGB-D SLAM based on Plane-Line-Point features for indoor scenes We offer a master thesis/guided research topic in the field of computer vision ...
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Rethinking Deep Learning based Monocular Depth Prediction We are looking for a motivated student who wants to work in the topic of monocular depth prediction using ...
Deep Intrinsic Image Decomposition In this project we aim at decomposing a simple photograph into layers of material properties like reflectance, albedo, materials ...
Invariant Landmark Detection for highly accurate positioning. An essential task to enable highly autonomous driving is the self-localization and ego-motion estimation ...
DA/MA/BA Thesis: Learning a Keypoint Detector for Matching Images In this computer vision project #44; we aim to learn the best keypoint detector for a specific descriptor ...
Comparison of methods to produce a two-layered LDI representation from a single RGB image One of the major drawbacks of the visualizations used in computer vision ...
Tracking using Autoencoders and Manifolds Supervision: Christian Rupprecht, Federico Tombari In this project we want to explore the possibilities of using autoencoders ...
Class-Level Object Detection and Pose Estimation from a Single RGB Image Only Subtitle Thesis by: Edward Cornelius Krubasik Advisor: Prof. Nassir Navab Supervision ...
Medical Augmented Reality with SLAM-based perception Problem statement: Medical Augmented Reality (AR) systems display medical data such as volumetric images and ...
Glass/Mirror Detection Abstract Mirror and transparent-objects have been an issue for simultaneous re-localization and mapping (SLAM). Mirrors reflect light rays ...
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{ box-sizing: border-box; } / Create two equal columns that floats next to each other / .column { float: left; width: 60 ; padding: 10px; height: 500px; / Should ...
Photorealistic Rendering of Training Data for Object Detection and Pose Estimation with a Physics Engine 3D Object Detection is essential for many tasks such a Robotic ...
Photorealistic Rendering of Training Data for Object Detection and Pose Estimation with a Physics Engine 3D Object Detection is essential for many tasks such a Robotic ...
Planning on Dense Semantic Reconstructions Abstract In recent years different methods for real-time dense semantic reconstruction have been proposed. Also different ...
3D Object Detection and Segmentation from Point Clouds Abstract With the success of convolutional neural networks in computer vision tasks such as object detection ...
Memory-enhanced Categrory-Level Pose Estimation Abstract Category-level pose estimation jointly estimates the 6D pose: Rotation and translation, and object size for ...
Dealing with the ambiguity induced by object symmetry in pose estimation tasks Thesis by: Diego Martin Arroyo Advisor: Prof. Nassir Navab Supervision by: Fabian Manhardt ...
Extrinsics calibration of multiple 3D sensors Supervision: Christian Rupprecht, Federico Tombari Multiple 3D sensor setups are now increasingly used for a variety ...
Deep Learning for Semantic Segmentation of Human Bodies We are looking for a motivated student who wants to inspect a deep learning approach, in tackling the challenging ...
Reconstructing the MI. Building in a Day We offer a master (or guided research) topic in the field of computer vision and robotics, which aims to reconstruct large ...
Scene graph generation We are looking for a motivated student to work on a research topic that involves deep learning and scene understanding. The project consists ...
Self-supervising monocular 6D object pose estimation a) Self6D 3 leverages synthetic data to train a base model for the task of 6D object pose estimation. b) In addition ...
Self-supervised learning in indoor environment Abstract Self-supervised depth estimation shows promising results in outdoor environments. However, there are a few ...
Semantic Simultaneous Localization And Mapping Abstract This thesis aims to leverage 2D (or 3D) semantic information in a simultaneous localization and mapping (SLAM ...
Semantically Consistent Sim2Real Domain Adaptation for Autonomous Driving. Abstract A broad variety of real-world scenarios require autonomous systems to rely on ...
Skin Lesion Segmentation on 3D Surfaces The use of computers in the analysis of skin lesions has always been an interesting and developing application of computer ...
Improving high dimensional prediction tasks by leveraging sparse reliable data Using CNN models for predicting high dimensional maps from RGB data has proved to be ...
Super Resolution Depth Maps Supervision: Christian Rupprecht, Federico Tombari This project aims at single image super-resolution applied to depth maps. Many available ...
Temporal 3D Object Detection in Lidar Point Clouds for Autonomous Driving Abstract Although Lidar data is acquired over time, most Object Detection methods only work ...
Trajectory Validation using Deep Learning Methods Abstract Most robotic applications consist of 3 modules. Sensing Planning Acting The output of each step could be ...
Master Thesis: Uncertainty Estimation for Segmentation in Autonomous Driving Abstract In the context of Autonomous Driving, it is crucial to have a measure of the ...
Master Thesis in Weakly/Self-Supervised Action Segmentation Abstract Activity understanding in videos became a popular research topic in the computer vision community ...
Master's thesis Thesis by: Thomas Schmid Advisor: Nassir Navab Supervision by: Iro Laina, Federico Tombari Due date: 15.12.2018 Abstract The performance of AI-driven ...
DA/MA/BA Thesis: Webly supervised human activity recognition In recent years, significant progress in image classification and object recognition has been achieved ...
Towards Monocular Depth Benchmarking Abstract The field of monocular depth estimation has some inherent limitations due to the shortcomings of existing benchmarks ...
Action Recognition and Generation With RNNs Human action understanding and generation is a high-level concept and very hot topic in computer vision. Deep learning ...
Action Recognition and Generation With RNNs Human action understanding and generation is a high-level concept and very hot topic in computer vision. Deep learning ...
Exploring 3D Scene Graphs for Surgical Operating Rooms Abstract Scene graphs are structures, which can be used to describe an image or a 3D environment in a semantically ...
Thesis or Guided Research in Weakly-Supervised Action Segmentation Abstract Activity understanding in videos became a popular research topic in the computer vision ...
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