30 citations · 56 across the 11 of their papers we have counts for
12 papers
FaceMixup: Enhancing Facial Expression Recognition through Mixed Face Regularization
Fabio A. Faria, Mateus M. Souza, Raoni F. da S. Teixeira +1
The proliferation of deep learning solutions and the scarcity of large annotated datasets pose significant challenges in real-world applications. Various strategies have been explo…
Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints
Cole Hill, Mauricio Pamplona Segundo, Sudeep Sarkar
Deep learning research has made many biometric recognition solution viable, but it requires vast training data to achieve real-world generalization. Unlike other biometric traits,…
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang, Mauricio Pamplona Segundo, Sathyanarayanan N. Aakur +2
This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need…
On deceiving malware classification with section injection
Adeilson Antonio da Silva, Mauricio Pamplona Segundo
We investigate how to modify executable files to deceive malware classification systems. This work's main contribution is a methodology to inject bytes across a malware file random…
Measuring economic activity from space: a case study using flying airplanes and COVID-19
Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto +2
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior cau…
Meta Learning for Few-Shot One-class Classification
Gabriel Dahia, Maurício Pamplona Segundo
We propose a method that can perform one-class classification given only a small number of examples from the target class and none from the others. We formulate the learning of mea…