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Grégory Rogez
Grégory Rogez
Research Scientist, NAVER LABS Europe
Verifisert e-postadresse på naverlabs.com - Startside
Tittel
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LCR-Net: Localization-Classification-Regression for Human Pose
G Rogez, P Weinzaepfel, C Schmid
Conference on Computer Vision and Pattern Recognition (CVPR), 2017
3912017
LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
G Rogez, P Weinzaepfel, C Schmid
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 42 (5 …, 2019
3812019
MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild
G Rogez, C Schmid
Advances In Neural Information Processing Systems (NIPS) 2016, 2016
3332016
Randomized trees for human pose detection
G Rogez, J Rihan, S Ramalingam, C Orrite, PHS Torr
Computer Vision and Pattern Recognition (CVPR) 2008. IEEE Conference on, 2008
2372008
Depth-based hand pose estimation: data, methods, and challenges
JS Supancic, G Rogez, Y Yang, J Shotton, D Ramanan
International Conference on Computer Vision (ICCV) 2015, 1868-1876, 2015
1992015
GanHand: Predicting human grasp affordances in multi-object scenes
E Corona, A Pumarola, G Alenya, F Moreno-Noguer, G Rogez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5031-5041, 2020
1912020
Understanding Everyday Hands in Action from RGB-D Images
G Rogez, JS Supancic III, D Ramanan
International Conference on Computer Vision (ICCV) 2015, 2015
1792015
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images
V Gabeur, JS Franco, X Martin, C Schmid, G Rogez
International Conference on Computer Vision (ICCV), 2019
1502019
3D Hand Pose Detection in Egocentric RGB-D Images⋆
G Rogez, M Khademi, JS Supancic III, JMM Montiel, D Ramanan
Consumer Depth Cameras for Computer Vision- ECCV Workshop, 2014
1402014
Depth-based hand pose estimation: methods, data, and challenges
JS Supančič, G Rogez, Y Yang, J Shotton, D Ramanan
International Journal of Computer Vision 126 (11), 1180-1198, 2018
1312018
Progressive skeletonization: Trimming more fat from a network at initialization
P de Jorge, A Sanyal, HS Behl, PHS Torr, G Rogez, PK Dokania
International Conference on Learning Representations (ICLR), 2021
1142021
First-person pose recognition using egocentric workspaces
G Rogez, JS Supancic, D Ramanan
Computer Vision and Pattern Recognition (CVPR) 2015. IEEE Conference on, 2015
1132015
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
R Volpi, D Larlus, G Rogez
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
922021
Mimetics: Towards understanding human actions out of context
P Weinzaepfel, G Rogez
International Journal of Computer Vision 129 (5), 1675-1690, 2021
832021
Ambiguity modeling in latent spaces
CH Ek, J Rihan, PHS Torr, G Rogez, ND Lawrence
Machine Learning for Multimodal Interaction: 5th International Workshop …, 2008
832008
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
T Lucas, F Baradel, P Weinzaepfel, G Rogez
European Conference on Computer Vision (ECCV), 2022
652022
Make some noise: Reliable and efficient single-step adversarial training
P de Jorge, A Bibi, R Volpi, A Sanyal, PHS Torr, G Rogez, PK Dokania
Neural Information Processing Systems (NeurIPS), 2022
63*2022
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild
P Weinzaepfel, R Brégier, H Combaluzier, V Leroy, G Rogez
European Conference on Computer Vision (ECCV), 2020
632020
A spatio-temporal 2D-models framework for human pose recovery in monocular sequences
G Rogez, C Orrite-Urunuela, J Martínez-del-Rincón
Pattern Recognition 41 (9), 2926-2944, 2008
602008
PoseScript: 3D human poses from natural language
G Delmas, P Weinzaepfel, T Lucas, F Moreno-Noguer, G Rogez
European Conference on Computer Vision (ECCV), 2022
582022
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Artikler 1–20