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Francisco Massa
Francisco Massa
Research Engineer at Facebook AI Research
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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, 2019
483362019
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
137772020
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
67472021
Detectron2
Y Wu, A Kirillov, F Massa, WY Lo, R Girshick
30752019
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
1707*2023
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
575*2020
Pytorch: An imperative style, high-performance deep learning library, 2019
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703 10, 1912
338*1912
maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
F Massa, R Girshick
2792018
Hybrid transformers for music source separation
S Rouard, F Massa, A Défossez
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
1312023
xformers: A modular and hackable transformer modelling library
B Lefaudeux, F Massa, D Liskovich, W Xiong, V Caggiano, S Naren, M Xu, ...
1202022
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
1202016
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
99*2016
PyTorch: An Imperative Style, High-Performance Deep Learning Library. arXiv e-prints: p
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
arXiv preprint arXiv:1912.01703, 2019
872019
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
542017
Computer vision–ECCV 2020
N Carion, F Massa, G Synnaeve, N Usunier, A Kirillov, S Zagoruyko, ...
Proceedings of the 16th European Conference, Glasgow, UK, 23-28, 2020
362020
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
Flash-decoding for long-context inference
T Dao, D Haziza, F Massa, G Sizov
Online, 2023
172023
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
112021
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
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
62021
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