I am a Ph.D. Candidate in Computer Science at RWTH Aachen University and at the Machine Learning and Data Analytics Institute (IAS-8) at Forschungszentrum Jülich. I am supervised by Prof. Ira Assent, Prof. Abigail Morrison and Dr. Hanno Scharr.
My current research interests include Data Efficient Learning, Transfer Learning, Multi-Task Learning, Multi-Modal Learning. In general, I am interested in Computer Vision applications to real-world problems.
Website: alessioquercia.github.io
Short CV
- [09.2019 - 07.2021] > Research Intern at IBM Research Zurich
- [10.2018 - 07.2019] > Tutor of Computer Science Basics at University of Milan
- [05.2021 - Current] > Ph.D. in Computer Science at RWTH Aachen University and Forschungszentrum Jülich
- [10.2020 - 05.2021] > Ph.D Candidate at Sapienza University of Rome and Research Assistant at WSense S.r.l.
- [09.2017 - 04.2020] > MSc in Computer Science at University of Milan
- [09.2013 - 07.2017] > BSc in Computer Science at Sapienza University of Rome
Publications
- Quercia A., Yildiz E., Cao Z., Krajsek K., Morrison A., Assent I., Scharr H.: "Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks". In: Winter Conference on Applications of Computer Vision (WACV). On Proceedings. IEEE, Tucson, Arizona (2025).
- Bangun A.*, Cao Z.*, Quercia A.*, Scharr H., Pfaehler E.: "MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)". In: Winter Conference on Applications of Computer Vision (WACV). On Proceedings. IEEE, Tucson, Arizona (2025).
- Paul D.R.*, Quercia A.*, Fortuin V., Nöh K., Scharr H.: "Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation". In: European Conference on Computer Vision (ECCV). On Proceedings. IEEE, Milan, Italy (2024).
- Quercia A., Morrison A., Scharr H., Assent I.: "SGD Biased towards Early Important Samples for Efficient Training". In: IEEE International Conference on Data Mining (ICDM). On Proceedings. IEEE, Shanghai, China (2023).
- Quercia A., Frick T., Egli F., Pullen N., Dupanloup I., Tang J., Asif U., Harrer S. and Brunschwiler T.: "Preictal onset detection through unsupervised clustering for epileptic seizure prediction". In: IEEE International Conference on Digital Health (ICDH). On Proceedings. IEEE, Chicago, USA (2021).