Seguir
Francisco Massa
Francisco Massa
Research Engineer at Facebook AI Research
Dirección de correo verificada de fb.com - Página principal
Título
Citado por
Citado por
Año
Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 2019
413702019
End-to-end object detection with transformers
N Carion, F Massa, G Synnaeve, N Usunier, A Kirillov, S Zagoruyko
European conference on computer vision, 213-229, 2020
109732020
Training data-efficient image transformers & distillation through attention
H Touvron, M Cord, M Douze, F Massa, A Sablayrolles, H Jégou
International conference on machine learning, 10347-10357, 2021
55432021
Detectron2
Y Wu, A Kirillov, F Massa, WY Lo, R Girshick
27412019
Dinov2: Learning robust visual features without supervision
M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ...
arXiv preprint arXiv:2304.07193, 2023
791*2023
Pytorch: An imperative style, high-performance deep learning library
B Steiner, Z DeVito, S Chintala, S Gross, A Paske, F Massa, A Lerer, ...
6752019
Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
489*2020
maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
F Massa, R Girshick
2732018
Deep exemplar 2d-3d detection by adapting from real to rendered views
F Massa, BC Russell, M Aubry
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1162016
Crafting a multi-task cnn for viewpoint estimation
M Francisco, M Renaud, A Mathieu
Proceedings of the British Machine Vision Conference, 91.1-91.12, 2016
93*2016
Hybrid transformers for music source separation
S Rouard, F Massa, A Défossez
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
682023
xformers: A modular and hackable transformer modelling library
B Lefaudeux, F Massa, D Liskovich, W Xiong, V Caggiano, S Naren, M Xu, ...
662022
Advances in Neural Information Processing Systems 32, Curran Associates
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Inc., New York, 8024, 2019
562019
Frame interpolation with multi-scale deep loss functions and generative adversarial networks
J Van Amersfoort, W Shi, A Acosta, F Massa, J Totz, Z Wang, J Caballero
arXiv preprint arXiv:1711.06045, 2017
492017
Convolutional neural networks for joint object detection and pose estimation: A comparative study
F Massa, M Aubry, R Marlet
arXiv preprint arXiv:1412.7190, 2014
242014
Automatic 3d car model alignment for mixed image-based rendering
R Ortiz-Cayon, A Djelouah, F Massa, M Aubry, G Drettakis
2016 Fourth International Conference on 3D Vision (3DV), 286-295, 2016
112016
The vision behind mlperf: Understanding ai inference performance
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu
IEEE Micro 41 (3), 10-18, 2021
92021
Chintala S.(2019)
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Pytorch: An imperative style, high-performance deep learning library …, 0
9
PyTorch: an imperative style
P Adam, G Sam, M Francisco, L Adam, B James, C Gregory, K Trevor, ...
High-performance deep learning library, NeurIPS, 2019
62019
Frame interpolation with multi-scale deep loss functions and generative adversarial networks
J Van Amersfoort, W Shi, J Caballero, AAA Diaz, F Massa, J Totz, Z Wang
US Patent 11,122,238, 2021
52021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20