3 citations · 6 across the 6 of their papers we have counts for
6 papers
Classifying by Proxy: Explainable and Reproducible Ensemble of Proxy Tasks for Child Sexual Abuse Imagery Classification
Clara Ernesto, Carlos Caetano, Sandra Avila +3
Child Sexual Abuse Imagery (CSAI) classification systems are needed solutions for lessening the psychological impacts often felt by law enforcement agents responsible for evaluatin…
CSA-Graphs: A Privacy-Preserving Structural Dataset for Child Sexual Abuse Research
Carlos Caetano, Camila Laranjeira, Clara Ernesto +5
Child Sexual Abuse Imagery (CSAI) classification is an important yet challenging problem for computer vision research due to the strict legal and ethical restrictions that prevent…
Human-Centric Perception for Child Sexual Abuse Imagery
Camila Laranjeira, João Macedo, Sandra Avila +2
Law enforcement agencies and non-gonvernmental organizations handling reports of Child Sexual Abuse Imagery (CSAI) are overwhelmed by large volumes of data, requiring the aid of au…
Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability
Carlos Caetano, Gabriel O. dos Santos, Caio Petrucci +6
Including children's images in datasets has raised ethical concerns, particularly regarding privacy, consent, data protection, and accountability. These datasets, often built by sc…
YOLOv7 for Mosquito Breeding Grounds Detection and Tracking
Camila Laranjeira, Daniel Andrade, Jefersson A. dos Santos
With the looming threat of climate change, neglected tropical diseases such as dengue, zika, and chikungunya have the potential to become an even greater global concern. Remote sen…
Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets
Camila Laranjeira, João Macedo, Sandra Avila +1
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are growing fast, such that human experts can no longer handle the manual inspection. However, the automatic cl…