Marco Pedersoli

École de technologie supérieure

Names

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Marco Pedersoli

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@etsmtl.ca
,
****@inria.fr
,
****@gmail.com

Education & Career History

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Assistant Professor
École de technologie supérieure (etsmtl.ca)
2017Present
 
Postdoc
Inria-Grenoble (inria.fr)
20152016
 
Postdoc
KU Leuven (kuleuven.be)
20122015
 
PhD student
Autonomous University of Barcelona (uab.cat)
20082012
 

Advisors, Relations & Conflicts

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Coworker
Karteek Alahari
****@inria.fr
20152016
 
Coauthor
Andrew Bagdanov
****@gmail.com
20112016
 
Postdoc Advisor
Tinne Tuytelaars
****@esat.kuleuven.be
20112016
 
Coauthor
Andrea Vedaldi
****@robots.ox.ac.uk
20112015
 
Coauthor
Hakan Bilen
****@robots.ox.ac.uk
20112015
 
Coauthor
Radu Timofte
****@vision.ee.ethz.ch
20112015
 
Coauthor
Rodrigo Benenson
****@mpi-inf.mpg.de
20142014
 
Coauthor
Markus Mathias
****@vision.rwth-aachen.de
20112014
 
Coauthor
Luc Van gool
****@esat.kuleuven.be
20112014
 
Coauthor
Rodrigo Benenson
****@mpi-inf.mpg.de
20112014
 
Coauthor
Radu Timofte
****@vision.ee.ethz.ch
20112014
 
Coauthor
Alberto Sanfeliu
****@iri.upc.edu
20112014
 
Coauthor
Vinay Namboodiri
****@iitk.ac.in
20112014
 
Coauthor
Xu Hu
****@onid.orst.edu
20112014
 
Coauthor
Nataliya Shapovalova
****@gmail.com
20112014
 
Coauthor
Markus Mathias
****@gmx.de
20112014
 
Coauthor
Amir Ghodrati
****@esat.kuleuven.be
20112014
 
Coauthor
Vinay Namboodiri
****@alcatel-lucent.com
20112014
 
Coauthor
Andrew Bagdanov
****@cvc.uab.es
20112014
 
Coauthor
Hakan Bilen
****@esat.kuleuven.be
20112014
 
Postdoc Advisor
Luc Van gool
****@vision.ee.ethz.ch
20112014
 
PhD Advisor
Jordi Gonzalez
****@cvc.uab.es
20112014
 
Coauthor
Nataliya Shapovalova
****@sfu.ca
20112011
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Learning with reduced resources
2017Present
 
Efficient Deep Learning
2015Present
 
Convolutional Neural Networks, Weakly supervised learning
2011Present
 
Recurrent Neural Networks, Image Captioning
20152017
 
Efficient Object Detection
20082016
 
Deformable Models
20082015