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, 8026-8037, 2019
12042019
maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
F Massa, R Girshick
Accessed: Apr 29, 2019, 2018
1032018
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
812016
Detectron2
Y Wu, A Kirillov, F Massa, WY Lo, R Girshick
672019
Crafting a multi-task CNN for viewpoint estimation
F Massa, R Marlet, M Aubry
arXiv preprint arXiv:1609.03894, 2016
532016
Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
arXiv preprint arXiv:1911.02549, 2019
282019
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
232017
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
142014
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
62016
End-to-End Object Detection with Transformers
N Carion, F Massa, G Synnaeve, N Usunier, A Kirillov, S Zagoruyko
arXiv preprint arXiv:2005.12872, 2020
52020
Object detection in torch
F Massa
22016
Relating images and 3D models with convolutional neural networks
FVS Massa
2017
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Articles 1–12