3k citations
- Max Planck SocietyDE367 papers
- University of StuttgartDE363 papers
- ETH ZurichCH78 papers
- University of TübingenDE76 papers
- Centre National de la Recherche ScientifiqueFR63 papers
- Polish Academy of SciencesPL41 papers
- Heidelberg UniversityDE38 papers
- Institute of Physical ChemistryPL33 papers
- Max Planck Institute for Biological CyberneticsDE30 papers
- Paul Scherrer InstituteCH30 papers
- University of CambridgeGB30 papers
- Johannes Gutenberg University MainzDE29 papers
18 papers · 2 filters
End-to-end Recovery of Human Shape and Pose
Angjoo Kanazawa, Michael J. Black, David W. Jacobs +1
We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full 3D mesh of a human body from a single RGB image. In contrast to most current methods that c…
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2
Ingestible wireless capsule endoscopy is an emerging minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and pathologi…
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots
Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu +3
Since the development of capsule endoscopcy technology, substantial progress were made in converting passive capsule endoscopes to robotic active capsule endoscopes which can be co…
Towards Accurate Markerless Human Shape and Pose Estimation over Time
Yinghao Huang, Federica Bogo, Christoph Lassner +4
Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios. Here we pr…
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Waleed M. Gondal, Jan M. Köhler, René Grzeszick +2
Convolutional neural networks (CNNs) show impressive performance for image classification and detection, extending heavily to the medical image domain. Nevertheless, medical expert…
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2
In the gastrointestinal (GI) tract endoscopy field, ingestible wireless capsule endoscopy is considered as a minimally invasive novel diagnostic technology to inspect the entire GI…