E
Eric Lombardi
Researcher at University of Lyon
Publications - 9
Citations - 138
Eric Lombardi is an academic researcher from University of Lyon. The author has contributed to research in topics: Pose & Graph cuts in computer vision. The author has an hindex of 4, co-authored 9 publications receiving 124 citations. Previous affiliations of Eric Lombardi include Claude Bernard University Lyon 1.
Papers
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Journal ArticleDOI
Evaluation of video activity localizations integrating quality and quantity measurements
Christian Wolf,Christian Wolf,Eric Lombardi,Eric Lombardi,Julien Mille,Julien Mille,Oya Celiktutan,Oya Celiktutan,Oya Celiktutan,Mingyuan Jiu,Mingyuan Jiu,Emre Dogan,Emre Dogan,Gonen Eren,Moez Baccouche,Moez Baccouche,Emmanuel Dellandréa,Emmanuel Dellandréa,Charles-Edmond Bichot,Charles-Edmond Bichot,Christophe Garcia,Christophe Garcia,Bulent Sankur +22 more
TL;DR: A new performance metric addressing and unifying the qualitative and quantitative aspects of the performance measures is proposed, which has been tested on several activity recognition algorithms participating in the ICPR 2012 HARL competition.
Journal ArticleDOI
Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data
TL;DR: This paper proposes a special graphical structure which is elongated in time and derives an exact minimization algorithm derived for this structure and successfully applied to action recognition in two settings: video data and Kinect coordinate data.
Book ChapterDOI
Real-Time exact graph matching with application in human action recognition
TL;DR: A novel spatio-temporal graphical structure is proposed that takes advantage of special properties of the time domain, in particular causality and the linear order of time, and proposes a novel minimization algorithm.
Journal ArticleDOI
Multi-view pose estimation with mixtures-of-parts and adaptive viewpoint selection
Emre Dogan,Emre Dogan,Gonen Eren,Christian Wolf,Christian Wolf,Eric Lombardi,Atilla Baskurt,Atilla Baskurt +7 more
TL;DR: A new method for human pose estimation which leverages information from multiple views to impose a strong prior on articulated pose and significantly decreases the estimation error compared to single-view results is proposed.
Book ChapterDOI
Context Aware Robot Architecture, Application to the RoboCup@Home Challenge.
Fabrice Jumel,Jacques Saraydaryan,Raphael Leber,Laëtitia Matignon,Eric Lombardi,Christian Wolf,Olivier Simonin +6 more
TL;DR: An architecture dedicated to the orchestration of high level abilities of a humanoid robot, such as a Pepper, which must perform some tasks as the ones proposed in the RoboCup@Home competition is presented.