Thresholding the Courtesy Amount of Brazilian Bank Checks Using a Local Methodology. - Rafael Felix; Leandro Augusto da Silva 001; Leandro Nunes de Castro (PAAMS (Workshops), 2015)

Multi-modal Cycle-Consistent Generalized Zero-Shot Learning. - Rafael Felix; B. G. Vijay Kumar; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (6), 2018)

Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (DICTA, 2019)

Multi-modal Ensemble Classification for Generalized Zero Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2019)

Generalised Zero-Shot Learning with a Classifier Ensemble over Multi-Modal Embedding Spaces. - Rafael Felix; Ben Harwood; Michele Sasdelli; Gustavo Carneiro 001 (CoRR, 2019)

Augmentation Network for Generalised Zero-Shot Learning. - Rafael Felix; Michele Sasdelli; Ian D. Reid 001; Gustavo Carneiro 001 (ACCV (4), 2020)

Generalised Zero-shot Learning with Multi-modal Embedding Spaces. - Rafael Felix; Michele Sasdelli; Ben Harwood; Gustavo Carneiro 001 (DICTA, 2020)

Cross-Modal Visual Question Answering for Remote Sensing Data: The International Conference on Digital Image Computing: Techniques and Applications (DICTA 2021). - Rafael Felix; Boris Repasky; Samuel Hodge; Reza Zolfaghari; Ehsan Abbasnejad; Jamie Sherrah (DICTA, 2021)

Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. - Hai-Ming Xu; Lingqiao Liu; Hao Chen 041; Ehsan Abbasnejad; Rafael Felix (ICCV (Workshops), 2023)

Instance-Dependent Noisy Label Learning via Graphical Modelling. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (WACV, 2023)

PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Noisy-label Learning with Sample Selection based on Noise Rate Estimate. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2023)

Instance-Dependent Noisy-Label Learning with Graphical Model Based Noise-Rate Estimation. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Thanh-Toan Do; Gustavo Carneiro 001 (ECCV (4), 2024)

AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning. - Arpit Garg; Cuong Nguyen 006; Rafael Felix; Yuyuan Liu; Thanh-Toan Do; Gustavo Carneiro 001 (CoRR, 2025)