Francisco Massa - Concepedia

Author

Francisco Massa

Laboratoire d'Informatique Gaspard-Monge ORCID

Also Known As

F. Massa, Francisco Massa, Massa, Francisco, Sam Gross, Suzano Massa, Francisco Vitor

Publications

18.9K

Citations

H-Index

Concepts

All Affiliations

Laboratoire d'Informatique Gaspard-Monge Meta (United States)

About

Francisco Massa is an author at Laboratoire d'Informatique Gaspard-Monge specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	17.5K
2	Computer Science	5	5	17.4K
3	Data Science	4	4	17.4K
4	Computer Engineering	1	1	16.2K
5	Artificial Intelligence	1	1	16.2K

Francisco Massa

Publications

18.8K

Citations

H-Index

Page 1

	Year	Citations
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke, Sam Gross, Francisco Massa, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceHardware Acceleration	2019	16.2K
DINOv2: Learning Robust Visual Features without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, arXiv (Cornell University) EngineeringMachine LearningRobust FeatureNatural Language ProcessingMultimodal Llm	2023	1K
End-to-End Object Detection with Transformers Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Lecture notes in computer science	2020	829
MLPerf Inference Benchmark Vijay Janapa Reddi, Christine Cheng, David Kanter,	2020	441
Training data-efficient image transformers & distillation through attention Hugo Touvron, Matthieu Cord, Matthijs Douze, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningData-efficient Image TransformersMultimodal Llm	2020	124
Hybrid Transformers for Music Source Separation Simon Rouard, Francisco Massa, Alexandre Défossez MusicSource SeparationEngineeringMachine LearningSpeech Recognition	2023	121
Crafting a multi-task CNN for viewpoint estimation Francisco Massa, Renaud Marlet, Mathieu Aubry	2016	74
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks Joost R. van Amersfoort, Wenzhe Shi, Alejandro Acosta, arXiv (Cornell University) Machine VisionMachine LearningImage AnalysisEngineeringGenerative Adversarial Network	2017	35
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views Francisco Massa, Bryan Russell, Mathieu Aubry Rendered ViewsConvolutional Neural NetworkEngineeringMachine LearningCnn Detection Pipeline	2016	17
Crafting a multi-task CNN for viewpoint estimation Francisco Massa, Renaud Marlet, Mathieu Aubry arXiv (Cornell University) Viewpoint EstimationConvolutional Neural NetworkMachine VisionMachine LearningImage Analysis	2016	17

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