I’m a research scientist and project lead at Naver Labs Europe.
I’m broadly passionate about machine learning, and in particular about its applications to computer vision problems. My main research interests at the moment are continual learning, online adaptation and model robustness.
Before joining NLE, I was a Ph.D. student (2015-2018) and postdoc (2018-2019) at Istituto Italiano di Tecnologia. During my studies, I also spent some time at Stanford Vision and Learning Lab and University College Cork.
Feel free to drop me an email.
Nov. 9. One paper published by Scientific Reports: “Understanding action concepts from videos and brain activity through subjects’ consensus”. [Paper]
June 19-24. Attended CVPR 2022 in New Orleans and presented our paper “On the Road to Online Adaptation for Semantic Image Segmentation”.
Apr 22. Selected as “Highlighted Reviewer of ICLR 2022”.
Feb 2. New paper on arXiv: “Make Some Noise: Reliable and Efficient Single-Step Adversarial Training”. [Paper]