4 citations · 5 across the 3 of their papers we have counts for
5 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…
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
André Luiz Buarque Vieira e Silva, Heitor de Castro Felix, Franscisco Paulo Magalhães Simões +5
Power line maintenance and inspection are essential to avoid power supply interruptions, reducing its high social and financial impacts yearly. Automating power line visual inspect…
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…