Wide-Depth-Range 6D Object Pose Estimation in Space

About
Privacy
Disclaimer

Graph Chatbot

Related publications (26)

Page 2 of 2

Deep Semantic Segmentation Using Nir As Extra Physical Information

Sabine Süsstrunk, Siavash Arjomand Bigdeli

Deep neural networks for semantic segmentation are most often trained with RGB color images, which encode the radiation visible to the human eyes. In this paper, we study if additional physical scene information, specifically Near-Infrared (NIR) images, im ...

IEEE2019

Automatic Online Fake News Detection Combining Content and Social Signals

Stefano Moret

The proliferation and rapid diffusion of fake news on the Internet highlight the need of automatic hoax detection systems. In the context of social networks, machine learning (ML) methods can be used for this purpose. Fake news detection strategies are tra ...

IEEE2018

Cross-lingual Adaptation of a CTC-based multilingual Acoustic Model

Philip Neil Garner, Hervé Bourlard, Sibo Tong

Multilingual models for Automatic Speech Recognition (ASR) are attractive as they have been shown to benefit from more training data, and better lend themselves to adaptation to under-resourced languages. However, initialisation from monolingual context-de ...

ELSEVIER SCIENCE BV2018

Learning from Examples in Optical Imaging

Demetri Psaltis, Michaël Unser, Ulugbek Kamilov, Cédric René Jean Vonesch

Imaging systems can be designed using examples and methods similar to the techniques used in deep learning. We describe experimental results demonstrating optical tomography based on the learning approach. ...

OSA2016

A Machine-Learning Based Approach to Privacy-Aware Information-Sharing in Mobile Social Networks

Maria Gazaki, Jean-Pierre Hubaux, Murtuza Jadliwala, Kévin Clément Huguenin, Igor Bilogrevic, Berker Agir

Contextual information about users is increasingly shared on mobile social networks. Examples of such information include users' locations, events, activities, and the co-presence of others in proximity. When disclosing personal information, users take int ...

Elsevier Science Bv2016

Template-based Monocular 3-D Shape Reconstruction And Tracking Using Laplacian Meshes

Tien Dat Ngo

This thesis addresses the problem of recovering the 3-D shape of a deformable object in single images, or image sequences acquired by a monocular video camera, given that a 3-D template shape and a template image of the object are available. While being a ...

EPFL2016