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Emmanuel Dellandréa
Researcher at École centrale de Lyon
Publications - 106
Citations - 2332
Emmanuel Dellandréa is an academic researcher from École centrale de Lyon. The author has contributed to research in topics: Object detection & Audio signal. The author has an hindex of 25, co-authored 103 publications receiving 1864 citations. Previous affiliations of Emmanuel Dellandréa include University of Lyon & François Rabelais University.
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Journal ArticleDOI
LIRIS-ACCEDE: A Video Database for Affective Content Analysis
TL;DR: A large video database, namely LIRIS-ACCEDE, is proposed, which consists of 9,800 good quality video excerpts with a large content diversity and provides four experimental protocols and a baseline for prediction of emotions using a large set of both visual and audio features.
Proceedings ArticleDOI
Jacquard: A Large Scale Dataset for Robotic Grasp Detection
TL;DR: The Jacquard dataset as mentioned in this paper is a large-scale synthetic dataset with ground truth, which contains both RGB-D images and annotations of successful grasping positions based on grasp attempts performed in a simulated environment.
Proceedings ArticleDOI
Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer
Yuxing Tang,Josiah Wang,Boyang Gao,Boyang Gao,Emmanuel Dellandréa,Robert Gaizauskas,Liming Chen +6 more
TL;DR: Strong evidence is found that visual similarity and semantic relatedness are complementary for the task, and when combined notably improve detection, achieving state-of-the-art detection performance in a semi-supervised setting.
Journal ArticleDOI
Discriminative Transfer Learning Using Similarities and Dissimilarities
TL;DR: A new discriminative TL (DTL) method is proposed, combining a series of hypotheses made by both the model learned with target training samples and the additional models learned with source category samples to improve classifier performance.
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.