
Dr Rafael Felix Alves
Post-doc Research Fellow
Australian Institute for Machine Learning - Projects
Faculty of Engineering, Computer and Mathematical Sciences
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
Hello, I am Rafa.
I am currently a Post-Doc Fellow at the Australian Institute for Machine Learning (AIML). Recently, I have been developing application on Generalised Zero-Shot Learning (GZSL), Explainable Artificial Intelligence and Visual Question Answering (VQA).
I completed my PhD studies at The University of Adelaide (UoA), Australia, under the supervision of Prof. Gustavo Carneiro, Dr. Michele Sasdelli, and Prof. Ian Reid, with a prestigious scholarship from Australian Research Council. Previously, I have industry experience. In my first position, I developed machine learning applications for acquiring data from online sources. Secondly, I was a data scientist at a Motorola outsource company working on machine learning for mobile platforms. I received my M.Sc. from Universidade Mackenzie, where I worked with Prof. L. de Castro, with a prestigious scholarship from the federal agency \emph{CAPES}. In my master degree, I focused on Neural Networks and their use for image processing on scanned documents, and their intersection with natural language processing. Over the course of my M.Sc., I worked on parallel projects using machine learning to develop applications for scanned documents.
On my free time, I enjoy tackling quick projects like programming affordable drones, and small robots.
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Appointments
Date Position Institution name 2020 Research Fellow Australian Institute for Machine Learning -
Language Competencies
Language Competency Portuguese Can read, write, speak, understand spoken and peer review Spanish - Latin American Can read, speak and understand spoken -
Education
Date Institution name Country Title 2016 - 2019 The University of Adelaide Australia PhD 2013 - 2015 Universidade Presbiteriana Mackenzie Brazil M.Sc. -
Research Interests
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Journals
Year Citation 2019 Felix, R., Sasdelli, M., Reid, I. D., & Carneiro, G. (2019). Multi-modal Ensemble Classification for Generalized Zero Shot Learning.. CoRR, abs/1901.04623. 2019 Felix, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised zero-shot learning with a classifier ensemble over multi-modal embedding spaces. arXiv, OnlinePubl. -
Conference Papers
Year Citation 2021 Felix, R., Sasdelli, M., Reid, I., & Carneiro, G. (2021). Augmentation Network for Generalised Zero-Shot Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 12625 LNCS (pp. 442-458). Springer International Publishing.
2020 Felix Alves, R., Sasdelli, M., Reid, I. D., & Carneiro, G. (2020). Augmentation Network for Generalised Zero-Shot Learning. In H. Ishikawa, C. -L. Liu, T. Pajdla, & J. Shi (Eds.), Computer Vision - ACCV 2020 Vol. 12625 (pp. 442-458). Switzerland: Springer.
2020 Felix, R., Sasdelli, M., Harwood, B., & Carneiro, G. (2020). Generalised Zero-shot Learning with Multi-modal Embedding Spaces. In 2020 Digital Image Computing: Techniques and Applications, DICTA 2020 (pp. 1-8). online: IEEE.
2019 Felix Alves, R., Harwood, B., Sasdelli, M., & Carneiro, G. (2019). Generalised zero-shot learning with domain classification in a joint semantic and visual space. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2019) (pp. 1-8). online: IEEE.
Scopus22018 Felix, R., Vijay Kumar, B., Reid, I., & Carneiro, G. (2018). Multi-modal cycle-consistent generalized zero-shot learning. In Computer Vision - ECCV 2018: proceedings, part VI Vol. 11210 LNCS (pp. 21-37). Munich: Springer.
Scopus51 WoS31
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Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2020 - ongoing Principal Supervisor Generative Adversarial Networks for Image-to-Image translation The University of Adelaide Master in Data Science Master Full Time Arpit Garg 2020 - ongoing Principal Supervisor Generativer Adversarial Network for Image In-Painting The University of Adelaide Master in Data Science Master Full Time Shubham Grupta
Connect With Me
External Profiles