Adrien Gaidon
Adrien Gaidon
Machine Learning Lead, Toyota Research Institute (TRI)
Verified email at - Homepage
TitleCited byYear
Virtual worlds as proxy for multi-object tracking analysis
A Gaidon, Q Wang, Y Cabon, E Vig
Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016
Actom sequence models for efficient action detection
A Gaidon, Z Harchaoui, C Schmid
CVPR 2011, 3201-3208, 2011
Temporal Localization of Actions with Actoms
A Gaidon, Z Harchaoui, C Schmid
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013
Activity representation with motion hierarchies
A Gaidon, Z Harchaoui, C Schmid
International journal of computer vision 107 (3), 219-238, 2014
INRIA-LEARs video copy detection system
M Douze, A Gaidon, H Jegou, M Marszałek, C Schmid
Recognizing activities with cluster-trees of tracklets
A Gaidon, Z Harchaoui, C Schmid
British Machine Vision Conference (BMVC), 2012
Procedural generation of videos to train deep action recognition networks
C Roberto de Souza, A Gaidon, Y Cabon, A Manuel Lopez
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Sympathy for the details: Dense trajectories and hybrid classification architectures for action recognition
CR De Souza, A Gaidon, E Vig, AM López
European Conference on Computer Vision, 697-716, 2016
A time series kernel for action recognition
A Gaidon, Z Harchaoui, C Schmid
British Machine Vision Conference (BMVC), 2011
Mining visual actions from movies
A Gaidon, M Marszalek, S Cordelia
British Machine Vision Conference (BMVC), 2009
Online learning to sample
G Bouchard, T Trouillon, J Perez, A Gaidon
arXiv preprint arXiv:1506.09016, 2015
Self-learning object detectors for unlabeled videos using multi-task learning
A Gaidon, ZEN Gloria, JAR Serrano
US Patent 9,158,971, 2015
Learning to fuse things and stuff
J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon
arXiv preprint arXiv:1812.01192, 2018
Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
F Manhardt, W Kehl, A Gaidon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Superdepth: Self-supervised, super-resolved monocular depth estimation
S Pillai, R Ambrus, A Gaidon
ICRA, 2019
Online domain adaptation for multi-object tracking
A Gaidon, E Vig
British Machine Vision Conference (BMVC), 2015
Self-learning camera: Autonomous adaptation of object detectors to unlabeled video streams
A Gaidon, G Zen, JA Rodriguez-Serrano
arXiv preprint arXiv:1406.4296, 2014
Classification aided two stage localization
H Harzallah, C Schmid, F Jurie, A Gaidon
PASCAL Visual Object Classes Challenge Workshop, in conjunction with ECCV, 2008
Spigan: Privileged adversarial learning from simulation
KH Lee, G Ros, J Li, A Gaidon
ICLR, 2019
Extracting gradient features from neural networks
AG Soldevila, A Gaidon, FC Perronnin
US Patent 9,792,492, 2017
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