Recherche

Afficher tous les résultats pour

Accueil

Personne

Pascal Fua

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (322)

Learning Active Learning from Data

Pascal Fua, Raphael Sznitman, Ksenia Konyushkova

In this paper, we suggest a novel data-driven approach to active learning (AL). The key idea is to train a regressor that predicts the expected error reduction for a candidate sample in a particular learning state. By formulating the query selection proced ...

2017

Learning to Fuse 2D and 3D Image Cues for Monocular Body Pose Estimation

Pascal Fua, Mathieu Salzmann, Bugra Tekin, Pablo Marquez Neila

2017

Detecting Flying Objects using a Single Moving Camera

Pascal Fua, Vincent Lepetit, Artem Rozantsev

We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles (UAVs) and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves. We a ...

2017

Tilt-less 3-D electron imaging and reconstruction of complex curvilinear structures

Robin Schäublin, Pascal Fua, Quentin Thomas Jeangros, Guillaume Lucas, Cécile Hébert, Duncan Thomas Lindsay Alexander, Emad Oveisi, Antoine Letouzey

The ability to obtain three-dimensional (3-D) information about morphologies of nanostructures elucidates many interesting properties of materials in both physical and biological sciences. Here we demonstrate a novel method in scanning transmission electro ...

Nature Research2017

Learning Lightprobes for Mixed Reality Illumination

Pascal Fua, Vincent Lepetit, Kwang Moo Yi

This paper presents the first photometric registration pipeline for Mixed Reality based on high quality illumination estimation by convolutional neural network (CNN) methods. For easy adaptation and deployment of the system, we train the CNN using purely s ...

2017

Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence

Pascal Fua, Vincent Lepetit, Bugra Tekin, Artem Rozantsev

A method for predicting three-dimensional body poses from image sequences of an object, the method performed on a processor of a computer having memory, the method including the steps of accessing the image sequences from the memory, finding bounding boxes ...

2017

Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences

Pascal Fua, Engin Türetken, Xinchao Wang, Carlos Joaquin Becker

We propose a novel approach to automatically tracking elliptical cell populations in time-lapse image sequences. Given an initial segmentation, we account for partial occlusions and overlaps by generating an over-complete set of competing detection hypothe ...

Institute of Electrical and Electronics Engineers2017

Active Learning and Proofreading for Delineation of Curvilinear Structures

Pascal Fua, Jakub Tarnawski, Agata Justyna Mosinska

Many state-of-the-art delineation methods rely on supervised machine learning algorithms. As a result, they require manually annotated training data, which is tedious to obtain. Furthermore, even minor classification errors may significantly affect the top ...

2017

Reconstructing Evolving Tree Structures in Time Lapse Sequences by Enforcing Time-Consistency

Pascal Fua, Jan Kybic, Raphael Sznitman, Engin Türetken, Przemyslaw Rafal Glowacki, Miguel Amável Dos Santos Pinheiro, Daniel Lebrecht, Agata Justyna Mosinska

We propose a novel approach to reconstructing curvilinear tree structures evolving over time, such as road networks in 2D aerial images or neural structures in 3D microscopy stacks acquired in vivo. To enforce temporal consistency, we simultaneously proces ...

2017

Multi-Modal Mean-Fields via Cardinality-Based Clamping

Pascal Fua, François Fleuret

Mean Field inference is central to statistical physics. It has attracted much interest in the Computer Vision community to efficiently solve problems expressible in terms of large Conditional Random Fields. However, since it models the posterior probabilit ...

Ieee2017

Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery

Pascal Fua, Raphael Sznitman, Pablo Marquez Neila

Detection of surgical instruments plays a key role in ensuring patient safety in minimally invasive surgery. In this paper, we present a novel method for 2D vision-based recognition and pose estimation of surgical instruments that generalizes to different ...

2017

Computer Vision Techniques Applied to the Reconstruction of the 3-D Structure of Dislocations

Pascal Fua, Cécile Hébert, Emad Oveisi, Sandro Ivo Sebastiano De Zanet

Cambridge University Press2017

Stereo-vision three-dimensional reconstruction of curvilinear structures imaged with a TEM

Pascal Fua, Marco Cantoni, Guillaume Lucas, Cécile Hébert, Emad Oveisi, Antoine Letouzey, Sandro Ivo Sebastiano De Zanet

Deriving accurate three-dimensional (3-D) structural information of materials at the nanometre level is often crucial for understanding their properties. Tomography in transmission electron microscopy (TEM) is a powerful technique that provides such inform ...

Elsevier2017

Geometric Graph Matching Using Monte Carlo Tree Search

Pascal Fua, Jan Kybic, Miguel Amável Dos Santos Pinheiro

We present an efficient matching method for generalized geometric graphs. Such graphs consist of vertices in space connected by curves and can represent many real world structures such as road networks in remote sensing, or vessel networks in medical imagi ...

Ieee Computer Soc2017

Imposing Hard Constraints on Deep Networks: Promises and Limitations

Pascal Fua, Mathieu Salzmann, Pablo Marquez Neila

2017

Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras

Pascal Fua, Sudipta Sinha, Artem Rozantsev

We propose a new method to estimate the 6-dof trajectory of a flying object such as a quadrotor UAV within a 3D airspace monitored using multiple fixed ground cameras. It is based on a new structure from motion formulation for the 3D reconstruction of a si ...

Ieee2017

LIFT: Learned Invariant Feature Transform

Pascal Fua, Vincent Lepetit, Kwang Moo Yi, Eduard Trulls Fortuny

We introduce a novel Deep Network architecture that implements the full feature point handling pipeline, that is, detection, orientation estimation, and feature description. While previous works have successfully tackled each one of these problems individu ...

Springer Int Publishing Ag2016

Reconstructing Curvilinear Networks using Path Classifiers and Integer Programming

Pascal Fua, Engin Türetken, Fethallah Benmansour, Przemyslaw Rafal Glowacki

We propose a novel Bayesian approach to automated delineation of curvilinear structures that form complex and potentially loopy networks. By representing the image data as a graph of potential paths, we first show how to weight these paths using discrimina ...

2016

Do We Need Binary Features for 3D Reconstruction?

Pascal Fua, Xinchao Wang, Bin Fan, Zhiye Wang

Binary features have been incrementally popular in the past few years due to their low memory footprints and the efficient computation of Hamming distance between binary descriptors. They have been shown with promising results on some real time application ...

2016

Tracking Interacting Objects Using Intertwined Flows

Pascal Fua, François Fleuret, Engin Türetken, Xinchao Wang

In this paper, we show that tracking different kinds of interacting objects can be formulated as a network-flow Mixed Integer Program. This is made possible by tracking all objects simultaneously using intertwined flow variables and expressing the fact tha ...

Institute of Electrical and Electronics Engineers2016

Page 8 sur 17