#markdown

• PAAMS2015 - Thresholding the courtesy amount of Brazilian bank checks using a local methodology

• ECCV 2018 - Multi-modal Cycle-consistent Generalized Zero-Shot Learning

• DICTA 2019 - Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space

• DICTA 2020 - Generalised Zero-shot Learning with Multi-modal Embedding Spaces

• ACCV 2020 - Augmentation Network for Generalised Zero-Shot Learning

• DICTA21 - Cross-modal visual question answering for remote sensing data

• SUBM22 - Noisy-label Learning with Sample Selection based on Noise Rate Estimate

• WACV23 - Instance-dependent noisy label learning via graphical modelling

• ICCV23 - Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models

#components

• PAAMS2015 - Thresholding the courtesy amount of Brazilian bank checks using a local methodology

• ECCV 2018 - Multi-modal Cycle-consistent Generalized Zero-Shot Learning

• DICTA 2019 - Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space

• DICTA 2020 - Generalised Zero-shot Learning with Multi-modal Embedding Spaces

• ACCV 2020 - Augmentation Network for Generalised Zero-Shot Learning

• DICTA21 - Cross-modal visual question answering for remote sensing data

• SUBM22 - Noisy-label Learning with Sample Selection based on Noise Rate Estimate

• WACV23 - Instance-dependent noisy label learning via graphical modelling

• ICCV23 - Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models

#extra

• PAAMS2015 - Thresholding the courtesy amount of Brazilian bank checks using a local methodology

• ECCV 2018 - Multi-modal Cycle-consistent Generalized Zero-Shot Learning

• DICTA 2019 - Generalised Zero-Shot Learning with Domain Classification in a Joint Semantic and Visual Space

• DICTA 2020 - Generalised Zero-shot Learning with Multi-modal Embedding Spaces

• ACCV 2020 - Augmentation Network for Generalised Zero-Shot Learning

• DICTA21 - Cross-modal visual question answering for remote sensing data

• SUBM22 - Noisy-label Learning with Sample Selection based on Noise Rate Estimate

• WACV23 - Instance-dependent noisy label learning via graphical modelling

• ICCV23 - Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models

#rfelixmg

• Basic Visual Machine Learning

• Generalised Zero-Shot Learning

• Geospatial Visual Question Answering

• Point-of-Gaze estimation in the wild

• Multi-Modal Large Models for document understanding