Denis Tome'
Denis Tome'
EpicGames
Verified email at epicgames.com
Title
Cited by
Cited by
Year
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image
D Tome, C Russell, L Agapito
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5689 …, 2017
3062017
Deep convolutional neural networks for pedestrian detection
D Tomè, F Monti, L Baroffio, L Bondi, M Tagliasacchi, S Tubaro
Signal processing: image communication 47, 482-489, 2016
1592016
Rethinking pose in 3d: Multi-stage refinement and recovery for markerless motion capture
D Tome, M Toso, L Agapito, C Russell
2018 international conference on 3D vision (3DV), 474-483, 2018
232018
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image. In arXiv preprint
D Tome, C Russell, L Agapito
arXiv preprint arXiv:1701.00295 1 (2), 2017
82017
Reduced memory region based deep Convolutional Neural Network detection
D Tomé, L Bondi, E Plebani, L Baroffio, D Pau, S Tubaro
2016 IEEE 6th International Conference on Consumer Electronics - Berlin …, 2016
82016
xr-egopose: Egocentric 3d human pose from an hmd camera
D Tome, P Peluse, L Agapito, H Badino
Proceedings of the IEEE International Conference on Computer Vision, 7728-7738, 2019
72019
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
D Tome, T Alldieck, P Peluse, G Pons-Moll, L Agapito, H Badino, ...
IEEE transactions on pattern analysis and machine intelligence, 1-13, 2020
2020
Convolutional neural network based method for pedestrian detection
D TOME
Italy, 2015
2015
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Articles 1–8