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Cours 1 4 Apprentissage Machine Séance Introduction au cours ETS dep de génie de la production automatisé Marco Pedersoli Cours Hiver Marco Pedersoli Cours - CPlan de la séance Organisation du cours Présentation du prof Plan de cours Project Introduction

Apprentissage Machine Séance Introduction au cours ETS dep de génie de la production automatisé Marco Pedersoli Cours Hiver Marco Pedersoli Cours - CPlan de la séance Organisation du cours Présentation du prof Plan de cours Project Introduction à l ? apprentissage machine Contexte historique Applications de l ? apprentissage machine Marco Pedersoli Cours - CBiographie Marco Pedersoli Marco Pedersoli Cours - CAxes de recherche PhD Autonomous University of Barcelona Computer Vision Center E ?cient Object Detection with Deformable Models Post-Doc KU Leuven with Tinne Tuytelaars Luc Van Gool Detection Deformation Deep E ?cient Learning Post-Doc INRIA-Grenoble with Data Jakob Verbeek Cordelia Schmid Recurrent Nets and Attention Models Marco Pedersoli E ?cient Learning Data Exploration Cours - CApprentissage E ?cace DeepProposal Hunting Objects by Cascading Deep Convolutional Layers A Ghodrati A Diba M Pedersoli T Tuytelaars L Van Gool in ICCV A scalable D HOG model for fast object detection and viewpoint estimation M Pedersoli T Tuytelaars in DV Toward Real-Time Pedestrian Detection Based on a Deformable Template Model M Pedersoli J Gonzàlez X Hu X Roca in IEEE IITS Hierarchical Multiresolution Models for fast Object Detection M Pedersoli Phd Thesis A Coarse-to- ?ne approach for fast deformable object detection M Pedersoli A Vedaldi J Gonzàlez in CVPR Recursive Coarse-to-Fine Localization for fast Object Detection M Pedersoli J Gonzàlez A D Bagdanov J J Villanueva in ECCV Marco Pedersoli Cours - CUtilisation e ?cace des données Learning where to position parts in D M Pedersoli T Tuytelaars in ICCV Weakly Supervised Object Detection with Convex Clustering H Bilen M Pedersoli T Tuytelaars in CVPR Is D information enough for viewpoint estimation A Ghodrati M Pedersoli T Tuytelaars in BMVC Weakly Supervised Object Detection with Posterior Regularization H Bilen M Pedersoli T Tuytelaars in BMVC Using a deformation ?eld model for localizing faces and facial points under weak supervision M Pedersoli R Timofte T Tuytelaars L Van Gool in CVPR An Elastic Deformation Field Model for Object Detection and Tracking M Pedersoli R Timofte T Tuytelaars L Van Gool IJCV Object Classi ?cation with Adaptable Regions H Bilen M Pedersoli V Namboodiri T Tuytelaars L Van Gool in CVPR Deformable part model Deformation ?eld model Marco Pedersoli Cours - CMarco Pedersoli Cours - CMarco Pedersoli Cours - CMarco Pedersoli Cours - CExploration des données Combining where and what in change detection for unsupervised foreground learning in surveillance I Huerta M Pedersoli J Gonzàlez A Sanfeliu in Pattern Recognition Areas of attention for Image captioning M Pedersoli T Lucas J Verbeek C Schmid ICCV Marco Pedersoli Cours - CMembres et expertises ?? Ben Ayed Ismail Computer Vision Machine Learning Pattern Recognition Combinatorial Optimization Convex Optimization Medical Image Analysis Information Theory ?? Desrosiers Christian Data Mining Medical Imaging Collaborative Recommendation Systems Network Analysis Business Intelligence Combinatorial Optimization ?? Granger Eric Adaptive Pattern Recognition Multi-Classi ?er Systems Computational Intelligence Face Recognition Video Surveillance Biometrics ?? Koerich Alessandro Fine-Grained Classi ?cation Computer Vision Biometrics Machine Learning Musical Information Retrieval ?? Sabourin Robert Document et Signature Analysis