Adrien Gaidon
Adrien Gaidon
Head of Machine Learning Research, Toyota Research Institute (TRI)
Verified email at tri.global - Homepage
Title
Cited by
Cited by
Year
Virtual worlds as proxy for multi-object tracking analysis
A Gaidon, Q Wang, Y Cabon, E Vig
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016
5382016
Actom sequence models for efficient action detection
A Gaidon, Z Harchaoui, C Schmid
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2011
1872011
Temporal Localization of Actions with Actoms
A Gaidon, Z Harchaoui, C Schmid
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013
1832013
Activity representation with motion hierarchies
A Gaidon, Z Harchaoui, C Schmid
International journal of computer vision 107 (3), 219-238, 2014
1022014
INRIA-LEARs video copy detection system
M Douze, A Gaidon, H Jegou, M Marszałek, C Schmid
992008
Recognizing activities with cluster-trees of tracklets
A Gaidon, Z Harchaoui, C Schmid
British Machine Vision Conference (BMVC), 2012
832012
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
79*2017
Superdepth: Self-supervised, super-resolved monocular depth estimation
S Pillai, R Ambrus, A Gaidon
ICRA, 2019
652019
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
642019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
K Cao, C Wei, A Gaidon, N Arechiga, T Ma
Advances in Neural Information Processing Systems, 2019
612019
Exploring the Limitations of Behavior Cloning for Autonomous Driving
F Codevilla, E Santana, AM López, A Gaidon
Proceedings of the IEEE International Conference on Computer Vision, 2019
442019
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
422016
Learning to fuse things and stuff
J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon
arXiv preprint arXiv:1812.01192, 2018
402018
A time series kernel for action recognition
A Gaidon, Z Harchaoui, C Schmid
British Machine Vision Conference (BMVC), 2011
402011
Self-learning object detectors for unlabeled videos using multi-task learning
A Gaidon, ZEN Gloria, JAR Serrano
US Patent 9,158,971, 2015
322015
Online learning to sample
G Bouchard, T Trouillon, J Perez, A Gaidon
arXiv preprint arXiv:1506.09016, 2015
312015
Mining visual actions from movies
A Gaidon, M Marszalek, S Cordelia
British Machine Vision Conference (BMVC), 2009
312009
SPIGAN: Privileged adversarial learning from simulation
KH Lee, G Ros, J Li, A Gaidon
ICLR, 2019
242019
Online domain adaptation for multi-object tracking
A Gaidon, E Vig
British Machine Vision Conference (BMVC), 2015
182015
3D packing for self-supervised monocular depth estimation
V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020
17*2020
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