Francisco Massa
Francisco Massa
Research Engineer at Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
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, 8026-8037, 2019
98942019
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
9672020
Detectron2
Y Wu, A Kirillov, F Massa, WY Lo, R Girshick
7002019
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
3492021
maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
F Massa, R Girshick
Google Scholar, 2018
2052018
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
1342020
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
1022016
Crafting a multi-task CNN for viewpoint estimation
F Massa, R Marlet, M Aubry
arXiv preprint arXiv:1609.03894, 2016
642016
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
352017
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
172014
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
102016
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
32021
Object detection in torch
F Massa
22016
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
2021
Mise en relation d'images et de modèles 3D avec des réseaux de neurones convolutifs
FV Suzano Massa
Paris Est, 2017
2017
Relating images and 3D models with convolutional neural networks
FVS Massa
Université Paris-Est, 2017
2017
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