Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Teichrieb, Veronica"'
Autor:
Azevedo, Pedro, Araújo, Emanuella, Pierre, Gabriel, Costa, Willams de Lima, Teixeira, João Marcelo, Ferreira, Valter, Jones, Roberto, Teichrieb, Veronica
Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when deployed in other regions. Specifically, for scene classification, a h
Externí odkaz:
http://arxiv.org/abs/2406.03273
Emotion recognition is relevant for human behaviour understanding, where facial expression and speech recognition have been widely explored by the computer vision community. Literature in the field of behavioural psychology indicates that gait, descr
Externí odkaz:
http://arxiv.org/abs/2405.13903
People naturally understand emotions, thus permitting a machine to do the same could open new paths for human-computer interaction. Facial expressions can be very useful for emotion recognition techniques, as these are the biggest transmitters of non
Externí odkaz:
http://arxiv.org/abs/2311.11980
Autor:
Silva, André Luiz Buarque Vieira e, Simões, Francisco, Kowerko, Danny, Schlosser, Tobias, Battisti, Felipe, Teichrieb, Veronica
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery. The emerg
Externí odkaz:
http://arxiv.org/abs/2311.02747
Autor:
Silva, André Luiz Buarque Vieira e, Felix, Heitor de Castro, Simões, Franscisco Paulo Magalhães, Teichrieb, Veronica, Santos, Michel Mozinho dos, Santiago, Hemir, Sgotti, Virginia, Neto, Henrique Lott
Power line maintenance and inspection are essential to avoid power supply interruptions, reducing its high social and financial impacts yearly. Automating power line visual inspections remains a relevant open problem for the industry due to the lack
Externí odkaz:
http://arxiv.org/abs/2311.01619
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 automatically label target data, which can then be used for training a detecto
Externí odkaz:
http://arxiv.org/abs/2308.04515
Autor:
Costa, Willams de Lima, Martinez, Estefania Talavera, Figueiredo, Lucas Silva, Teichrieb, Veronica
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 to emotions. Of these cues, situational context is particularly crucia
Externí odkaz:
http://arxiv.org/abs/2305.03500
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 due to its various applications and mainly for allowing a more natura
Externí odkaz:
http://arxiv.org/abs/2111.02273
Publikováno v:
In Computers & Graphics November 2024 124
Autor:
Vieira-e-Silva, André Luiz Buarque, Felix, Heitor, Chaves, Thiago de Menezes, Simões, Francisco Paulo Magalhães, Teichrieb, Veronica, Santos, Michel Mozinho dos, Santiago, Hemir da Cunha, Sgotti, Virginia Adélia Cordeiro, Neto, Henrique Baptista Duffles Teixeira Lott
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 instance. A crucial task for the inspection is to detect and classify ass
Externí odkaz:
http://arxiv.org/abs/2108.07944