Generalisation and Sharing in Triplet Convnets for Sketch based Visual Search. - Tu Bui; Leonardo Sampaio Ferraz Ribeiro; Moacir Ponti; John P. Collomosse (CoRR, 2016)

Everything You Wanted to Know about Deep Learning for Computer Vision but Were Afraid to Ask. - Moacir Antonelli Ponti; Leonardo Sampaio Ferraz Ribeiro; Tiago Santana Nazaré; Tu Bui; John P. Collomosse (SIBGRAPI Tutorials, 2017)

Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. - Tu Bui; Leonardo Sampaio Ferraz Ribeiro; Moacir Ponti; John P. Collomosse (Comput. Vis. Image Underst., 2017)

Deep Manifold Alignment for Mid-Grain Sketch Based Image Retrieval. - Tu Bui; Leonardo Sampaio Ferraz Ribeiro; Moacir Ponti; John P. Collomosse (ACCV (3), 2018)

Unsupervised Representation Learning Using Convolutional and Stacked Auto-Encoders: A Domain and Cross-Domain Feature Space Analysis. - Gabriel Biscaro Cavallari; Leonardo Sampaio Ferraz Ribeiro; Moacir Ponti (SIBGRAPI, 2018)

Sketching out the details: Sketch-based image retrieval using convolutional neural networks with multi-stage regression. - Tu Bui; Leonardo Sampaio Ferraz Ribeiro; Moacir Ponti; John P. Collomosse (Comput. Graph., 2018)

Generalization of feature embeddings transferred from different video anomaly detection domains. - Fernando Pereira dos Santos; Leonardo Sampaio Ferraz Ribeiro; Moacir A. Ponti (J. Vis. Commun. Image Represent., 2019)

Sketchformer: Transformer-Based Representation for Sketched Structure. - Leo Sampaio Ferraz Ribeiro; Tu Bui; John P. Collomosse; Moacir Ponti (CVPR, 2020)

Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. - Leo Sampaio Ferraz Ribeiro; Tu Bui; John P. Collomosse; Moacir Ponti (ICCVW, 2021)

Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond. - Moacir A. Ponti; Fernando Pereira dos Santos; Leo Sampaio Ferraz Ribeiro; Gabriel Biscaro Cavallari (SIBGRAPI, 2021)

Bearing Failure Prognostics Using Recurrent Neural Networks: A Spectral Data Based Architecture. - Renato Cosin; Leo Sampaio Ferraz Ribeiro; Kalinka Castelo Branco (SIBGRAPI, 2023)

Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval. - Leo Sampaio Ferraz Ribeiro; Moacir Antonelli Ponti (CoRR, 2023)

Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. - Leo Sampaio Ferraz Ribeiro; Tu Bui; John P. Collomosse; Moacir Ponti (Multim. Tools Appl., 2023)

Mastering Scene Understanding: Scene Graphs to the Rescue. - Carlos Caetano; Leo Sampaio Ferraz Ribeiro; Camila Laranjeira; Gabriel Oliveira dos Santos; Artur Barros; Caio Petrucci; Andreza Aparecida dos Santos; João Macedo; Gil Carvalho; Fabrício Benevenuto; Jefersson A. dos Santos; Sandra Avila (SIBGRAPI, 2024)

Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery. - Pedro H. V. Valois; João Macedo; Leo Sampaio Ferraz Ribeiro; Jefersson A. dos Santos; Sandra Avila (CoRR, 2024)

Neglected Risks: The Disturbing Reality of Children's Images in Datasets and the Urgent Call for Accountability. - Carlos Caetano; Gabriel Oliveira dos Santos; Caio Petrucci; Artur Barros; Camila Laranjeira; Leo Sampaio Ferraz Ribeiro; Júlia Fernandes de Mendonça; Jefersson A. dos Santos; Sandra Avila (FAccT, 2025)

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 Sampaio Ferraz Ribeiro; João Macedo; Jefersson A. dos Santos; Sandra Avila (FAccT, 2025)

Leveraging self-supervised learning for scene classification in child sexual abuse imagery. - Pedro H. V. Valois; João Macedo; Leo Sampaio Ferraz Ribeiro; Jefersson A. dos Santos; Sandra Avila (Forensic Sci. Int. Digit. Investig., 2025)