activity
20092023
most citedA fluid simulation system based on the MPS method

9 citations · 18 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis

João Paulo Lima, Diego Thomas, Hideaki Uchiyama +1

We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automati…

cs.CV2023

High-Level Context Representation for Emotion Recognition in Images

Willams de Lima Costa, Estefania Talavera Martinez, Lucas Silva Figueiredo +1

Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them…

cs.CV2021

Multi-Cue Adaptive Emotion Recognition Network

Willams Costa, David Macêdo, Cleber Zanchettin +2

Expressing and identifying emotions through facial and physical expressions is a significant part of social interaction. Emotion recognition is an essential task in computer vision…

cs.CV2021

STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images

André Luiz Buarque Vieira-e-Silva, Heitor Felix, Thiago de Menezes Chaves +6

Many power line companies are using UAVs to perform their inspection processes instead of putting their workers at risk by making them climb high voltage power line towers, for ins…

physics.comp-ph2021★ 9 cited

A fluid simulation system based on the MPS method

André Luiz Buarque Vieira-e-Silva, Caio José dos Santos Brito, Francisco Paulo Magalhães Simões +1

Fluid flow simulation is a highly active area with applications in a wide range of engineering problems and interactive systems. Meshless methods like the Moving Particle Semi-impl…

cs.CV2021

Generalizable Multi-Camera 3D Pedestrian Detection

João Paulo Lima, Rafael Roberto, Lucas Figueiredo +2

We present a multi-camera 3D pedestrian detection method that does not need to train using data from the target scene. We estimate pedestrian location on the ground plane using a n…