9 citations · 22 across the 5 of their papers we have counts for
6 papers
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study
André Luiz B. Vieira e Silva, Francisco Simões, Danny Kowerko +3
Within (semi-)automated visual inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect p…
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko +3
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise sma…
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…
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…
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…
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
Heitor Felix, Walber M. Rodrigues, David Macêdo +4
The detection of objects considering a 6DoF pose is a common requirement to build virtual and augmented reality applications. It is usually a complex task which requires real-time…