7 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…
A Unified Non-Parametric and Interpretable Point Cloud Analysis via t-FCW Graph Representation
Haijian Lai, Bowen Liu, Man Xu +4
We introduce an empowered transposed Fully Connected Weighted (t-FCW) graph representation to embed point clouds into a metric space. While original t-FCW has shown promising resul…
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…
Attention over Scene Graphs: Indoor Scene Representations Toward CSAI Classification
Artur Barros, Carlos Caetano, João Macedo +2
Indoor scene classification is a critical task in computer vision, with wide-ranging applications that go from robotics to sensitive content analysis, such as child sexual abuse im…
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
Thamiris Coelho, Leo S. F. Ribeiro, João Macedo +2
The distribution of child sexual abuse imagery (CSAI) is an ever-growing concern of our modern world; children who suffered from this heinous crime are revictimized, and the growin…