20 citations · 41 across the 6 of their papers we have counts for
8 papers
PANDAS: Prototype-based Novel Class Discovery and Detection
Tyler L. Hayes, César R. de Souza, Namil Kim +3
Object detectors are typically trained once and for all on a fixed set of classes. However, this closed-world assumption is unrealistic in practice, as new classes will inevitably…
Robust Image Retrieval-based Visual Localization using Kapture
Martin Humenberger, Yohann Cabon, Nicolas Guerin +7
Visual localization tackles the challenge of estimating the camera pose from images by using correspondence analysis between query images and a map. This task is computation and da…
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2
Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jerome Revaud, Jon Almazan, Rafael Sampaio de Rezende +1
Image retrieval can be formulated as a ranking problem where the goal is to order database images by decreasing similarity to the query. Recent deep models for image retrieval have…
Procedural Generation of Videos to Train Deep Action Recognition Networks
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +1
Deep learning for human action recognition in videos is making significant progress, but is slowed down by its dependency on expensive manual labeling of large video collections. I…
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
César Roberto de Souza, Adrien Gaidon, Eleonora Vig +1
Action recognition in videos is a challenging task due to the complexity of the spatio-temporal patterns to model and the difficulty to acquire and learn on large quantities of vid…
A Tutorial on Principal Component Analysis with the Accord.NET Framework
César Roberto de Souza
This document aims to clarify frequent questions on using the Accord.NET Framework to perform statistical analyses. Here, we reproduce all steps of the famous Lindsay's Tutorial on…
Recognizing Static Signs from the Brazilian Sign Language: Comparing Large-Margin Decision Directed Acyclic Graphs, Voting Support Vector Machines and Artificial Neural Networks
César Roberto de Souza, Ednaldo Brigante Pizzolato, Mauro dos Santos Anjo
In this paper, we explore and detail our experiments in a high-dimensionality, multi-class image classification problem often found in the automatic recognition of Sign Languages.…