Publications

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Thesis

2019

  • Gül Varol. Learning Human Body and Human Action Representations from Visual Data. PhD thesis, ENS, 2019.


2018

  • Jean-Baptiste Alayrac. Structured Learning from Videos and Language. PhD thesis, ENS, 2018.


  • Guilhem Chéron. Structured modeling and recognition of human actions in video. PhD thesis, ENS, 2018.


  • Maxime Oquab. Convolutional neural networks: towards less supervision for visual recognition. PhD thesis, ENS, 2018.


  • Matthew Trager. Cameras, Shapes, and Contours: Geometric Models in Computer Vision. PhD thesis, ENS, 2018.


  • Tuan-Hung Vu. Learning visual models for person detection and action prediction. PhD thesis, ENS, 2018.


2017

  • Rafael Sampaio de Rezende. New methods for image classification, image retrieval and semantic correspondence. PhD thesis, ENS, 2017.


2016

  • Piotr Bojanowski. Learning to annotate dynamic video scenes. PhD thesis, ENS, 2016.


  • Guillaume Seguin. Person analysis in stereoscopic movies. PhD thesis, ENS, 2016.


2015

  • Mathieu Aubry. Representing 3D models for alignment and recognition. PhD thesis, ENS, 2015.


  • Vincent Delaitre. Modeling and Recognizing Interactions between People, Objects and Scenes. PhD thesis, ENS, 2015.


2014

  • Armand Joulin. Convex optimization for cosegmentation. PhD thesis, ENS, 2014.


2012

  • Y-Lan Boureau. Learning hierarchical feature extractors for image recognition. PhD thesis, New York University, 2012.


  • Olivier Duchenne. Non-rigid image alignment for object recognition. PhD thesis, ENS, 2012.


  • Muhammad Muneeb Ullah. Supervised Statistical Representations for Human Action Recognition in Video. PhD thesis, Université de Rennes 1, 2012.


  • Oliver Whyte. Removing Camera Shake Blur and Unwanted Occluders from Photographs. PhD thesis, Ecole Normale Supérieure de Cachan, 2012.


2010

  • J.-Y. Audibert. PAC-Bayesian aggregation and multi-armed bandits. Habilitation a Diriger les Recherches (HDR), Universite Paris Est, France, October 2010.


  • J. Mairal. Sparse coding for machine learning, image processing and computer vision. PhD thesis, Ecole Normale Supérieure de Cachan, 2010.


2009

  • F. Bach. Methodes parcimonieuses pour l'apprentissage statistique. Habilitation a Diriger les Recherches (HDR), Ecole Normale Superieure de Cachan (ENS), January 2009.


2008

  • Y. Furukawa. High-Fidelity Image-Based Modeling. Phd thesis, University of Illinois, Urbana-Champaign, 2008.


  • A. Kushal. Learning models for 3D object category recognition. Phd thesis, University of Illinois, Urbana-Champaign, 2008.



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