I am a senior research scientist in the fields of computer vision and machine learning. My research interests lie in developing artificial intelligent systems that are able to reason about the visual world and describe images and videos in complex semantic descriptions the same way humans do. Currently, I am a research scientist at Amazon.com, where I have been working on two exciting projects: Amazon Go and Amazon Rekognition.
Prior to joining Amazon, I was a PhD student at the University of Edinburgh under the supervision of Dr. Vittorio Ferrari, a Master student at the University of Amsterdam and a Bachelor student and the University of Padova.
- October 2020: Our paper on Understanding the impact of mistakes on background regions in crowd counting was accepted for publication at WACV 2021.
- September 2020: Our paper on Exploiting weakly supervised visual patterns to learn from partial annotations was accepted for publication at NeurIPS 2020.
- March 2020: Our paper on Combining detection and tracking for human pose estimation in videos was accepted for publication at CVPR 2020, as ORAL.
- August 2019: Our paper on Action recognition with spatial-temporal discriminative filter banks was accepted for publication at ICCV 2019.
- January 2019: New paper on Scale-Aware Attention Network for Crowd Counting was released on arXiv.
- February 2018: Our paper on Objects as context for detecting their semantic parts was accepted for publication at CVPR 2018.
- October 2017: Our paper on Do Semantic Parts Emerge in Convolutional Neural Networks? was accepted for publication at IJCV.
- June 2017: Our paper on Learning Semantic Part-Based Models from Google Images was accepted for publication at TPAMI.