Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR1.2k papers
- The University of TokyoJP948 papers
- Excellence Cluster UniverseDE902 papers
- University of BonnDE857 papers
- Max Planck Institute for PhysicsDE848 papers
- Ludwig-Maximilians-Universität MünchenDE836 papers
- Lawrence Berkeley National LaboratoryUS774 papers
- University of CopenhagenDK774 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR757 papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR745 papers
- European Organization for Nuclear ResearchCH705 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT682 papers
22 papers · 2 filters
X-ray In-Depth Decomposition: Revealing The Latent Structures
Shadi Albarqouni, Javad Fotouhi, Nassir Navab
X-ray radiography is the most readily available imaging modality and has a broad range of applications that spans from diagnosis to intra-operative guidance in cardiac, orthopedics…
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht, Iro Laina, Robert DiPietro +4
Many prediction tasks contain uncertainty. In some cases, uncertainty is inherent in the task itself. In future prediction, for example, many distinct outcomes are equally valid. I…
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga, Ola S. Ali, Hager Rady +1
In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR…
Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI
Aurelien Bustin, Anne Menini, Martin A. Janich +4
To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed…
Image-based localization using LSTMs for structured feature correlation
Florian Walch, Caner Hazirbas, Laura Leal-Taixé +3
In this work we propose a new CNN+LSTM architecture for camera pose regression for indoor and outdoor scenes. CNNs allow us to learn suitable feature representations for localizati…
Multiframe Motion Coupling for Video Super Resolution
Jonas Geiping, Hendrik Dirks, Daniel Cremers +1
The idea of video super resolution is to use different view points of a single scene to enhance the overall resolution and quality. Classical energy minimization approaches first e…
Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems
Thomas Möllenhoff, Daniel Cremers
In this work we show how sublabel-accurate multilabeling approaches can be derived by approximating a classical label-continuous convex relaxation of nonconvex free-discontinuity p…
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching
Florian Bernard, Frank R. Schmidt, Johan Thunberg +1
We propose a combinatorial solution for the problem of non-rigidly matching a 3D shape to 3D image data. To this end, we model the shape as a triangular mesh and allow each triangl…
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger +10
Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support…
A Deep Metric for Multimodal Registration
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus +2
Multimodal registration is a challenging problem in medical imaging due the high variability of tissue appearance under different imaging modalities. The crucial component here is…
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors
Maksym Dzitsiuk, Jürgen Sturm, Robert Maier +2
Creating 3D maps on robots and other mobile devices has become a reality in recent years. Online 3D reconstruction enables many exciting applications in robotics and AR/VR gaming.…
Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
Gerda Bortsova, Michael Sterr, Lichao Wang +6
Intestinal enteroendocrine cells secrete hormones that are vital for the regulation of glucose metabolism but their differentiation from intestinal stem cells is not fully understo…
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation
Wadim Kehl, Fausto Milletari, Federico Tombari +2
We present a 3D object detection method that uses regressed descriptors of locally-sampled RGB-D patches for 6D vote casting. For regression, we employ a convolutional auto-encoder…
Direct Sparse Odometry
Jakob Engel, Vladlen Koltun, Daniel Cremers
We propose a novel direct sparse visual odometry formulation. It combines a fully direct probabilistic model (minimizing a photometric error) with consistent, joint optimization of…
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis
Markus Rempfler, Bjoern Andres, Bjoern H. Menze
Several important tasks in medical image analysis can be stated in the form of an optimization problem whose feasible solutions are connected subgraphs. Examples include the recons…
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini, Jonathan Masci, Emanuele Rodolà +1
Establishing correspondence between shapes is a fundamental problem in geometry processing, arising in a wide variety of applications. The problem is especially difficult in the se…
Dominant Codewords Selection with Topic Model for Action Recognition
Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata +3
In this paper, we propose a framework for recognizing human activities that uses only in-topic dominant codewords and a mixture of intertopic vectors. Latent Dirichlet allocation (…
Grading of Mammalian Cumulus Oocyte Complexes using Machine Learning for in Vitro Embryo Culture
Viswanath P Sudarshan, Tobias Weiser, Phalgun Chintala +2
Visual observation of Cumulus Oocyte Complexes provides only limited information about its functional competence, whereas the molecular evaluations methods are cumbersome or costly…
Interactive and Scale Invariant Segmentation of the Rectum/Sigmoid via User-Defined Templates
Tobias Lüddemann, Jan Egger
Among all types of cancer, gynecological malignancies belong to the 4th most frequent type of cancer among women. Besides chemotherapy and external beam radiation, brachytherapy is…
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll +8
In this work we propose a novel approach to perform segmentation by leveraging the abstraction capabilities of convolutional neural networks (CNNs). Our method is based on Hough vo…
Geometric-Algebra LMS Adaptive Filter and its Application to Rotation Estimation
Wilder B. Lopes, Anas Al-Nuaimi, Cassio G. Lopes
This paper exploits Geometric (Clifford) Algebra (GA) theory in order to devise and introduce a new adaptive filtering strategy. From a least-squares cost function, the gradient is…
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
Zorah Lähner, Emanuele Rodolà, Frank R. Schmidt +2
We propose the first algorithm for non-rigid 2D-to-3D shape matching, where the input is a 2D shape represented as a planar curve and a 3D shape represented as a surface; the outpu…