César Roberto de Souza

Orcid: 0000-0001-9208-2653

Affiliations:
  • NAVER LABS Europe, Meylan, France
  • Autonomous University of Barcelona, Spain (PhD 2018)
  • Xerox Research, Meylan, France (former)
  • Federal University of São Carlos, Brasil (former)


According to our database1, César Roberto de Souza authored at least 12 papers between 2012 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models.
Int. J. Comput. Vis., 2020

Robust Image Retrieval-based Visual Localization using Kapture.
CoRR, 2020

2019
R2D2: Repeatable and Reliable Detector and Descriptor.
CoRR, 2019

R2D2: Reliable and Repeatable Detector and Descriptor.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning With Average Precision: Training Image Retrieval With a Listwise Loss.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Action recognition in videos: data-efficient approaches for supervised learning of human action classification models for video.
PhD thesis, 2018

2017
Procedural Generation of Videos to Train Deep Action Recognition Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

2013
Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

2012
A Tutorial on Principal Component Analysis with the Accord.NET Framework
CoRR, 2012

Recognizing Static Signs from the
CoRR, 2012

Fingerspelling Recognition with Support Vector Machines and Hidden Conditional Random Fields - A Comparison with Neural Networks and Hidden Markov Models.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012


  Loading...