Publications associées à DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Sabine Süsstrunk, Mathieu Salzmann, Seungryong Kim

Existing techniques to encode spatial invariance within deep convolutional neural networks (CNNs) apply the same warping field to all the feature channels. This does not account for the fact that the individual feature channels can represent different sema ...

2020

Comparison of crack segmentation using digital image correlation measurements and deep learning

Katrin Beyer, Radhakrishna Achanta, Amir Rezaie, Michele Godio

Reliable methods for detecting pixels that represent cracks from laboratory images taken for digital image correlation (DIC) are required for two main reasons. Firstly, the segmented crack maps are used as an input for some DIC methods that are based on di ...

2020

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

Pascal Frossard, Deniz Mercadier, Beril Besbinar

Accurate and fast segmentation of nuclei in histopathological images plays a crucial role in cancer research for detection and grading, as well as personal treatment. Despite the important efforts, current algorithms are still suboptimal in terms of speed, ...

IEEE2019

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Michaël Unser, Michael Thompson McCann

This tutorial covers biomedical image reconstruction, from the foundational concepts of system modeling and direct reconstruction to modern sparsity and learning-based approaches. Imaging is a critical tool in biological research and medicine, and most ima ...

2019

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Jean-Marc Odobez, Olivier Canévet, Michael Villamizar

Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction understanding as encountered for instance in HRI settings. Accurate methods have been proposed recently, but they usually rely o ...

2019

Deep Feature Factorization for Concept Discovery

Sabine Süsstrunk, Radhakrishna Achanta, Edo Collins

We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images. We use DFF to gain insight into a deep convolutional neural network's learned features, where we detect hierarchical c ...

SpringerLink2018

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Jean-Philippe Thiran, Meritxell Bach Cuadra, Tobias Kober, Cristina Granziera, Jonas Richiardi, Mario Joao Fartaria de Oliveira, Francesco La Rosa

In this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease pat ...

Springer2018

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Jean-Philippe Thiran, Seyedbehzad Bozorgtabar, Hazim Kemal Ekenel

Recent state-of-the-art methods for skin lesion segmentation are based on Convolutional Neural Networks (CNNs). Even though these CNN based segmentation approaches are accurate, they are computationally expensive. In this paper, we address this problem and ...

2018

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

DeepGeo: Deep Geometric Mapping for Automated and Effective Parameterization in Aerodynamic Shape Optimization

Volumetric Transformer Networks

Wavefront shaping and deep learning in fiber endoscopy

Comparison of crack segmentation using digital image correlation measurements and deep learning

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Deep Feature Factorization for Concept Discovery

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Graph Chatbot

Chattez avec Graph Search

Wavefront shaping and deep learning in fiber endoscopy

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Volumetric Transformer Networks

Biomedical Image Reconstruction: From the Foundations to Deep Neural Networks

Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation

Comparison of crack segmentation using digital image correlation measurements and deep learning

Deep Feature Factorization for Concept Discovery

Automatic Segmentation of Nuclei in Histopathology Images using Encoding-Decoding Convolutional Neural Networks

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis