Alessandro Conti
PhD student and teaching assistant @ University of Trento.
Computer vision hacker, unorganized thinker.
Education
Nov 2021 - Today
PhD in Artificial Intelligence, University of Trento
Sep 2019 - Oct 2021
MSc in Computer Science, University of Trento
Experience
Feb 2023 - Today
Teaching Assistant, University of Trento
Nov 2021 - Today
Junior Researcher for SPRING, University of Trento
Mar 2021 - Sep 2021
Research Intern, Fondazione Bruno Kessler
Alessandro Conti is a PhD student and teaching assistant at the University of Trento, Italy. He is member of the Multimodal Human Understanding Group (MHUG). His research interests include computer vision, multimodal learning, and self-supervised learning.
Papers
Vocabulary-free Image Classification
A. Conti, E. Fini, M. Mancini, P. Rota, Y. Wang, E. Ricci
Neural Information Processing Systems (NeurIPS), 2023
The unreasonable effectiveness of Large Language-Vision Models for source-free video domain adaptation
G. Zara*, A. Conti*, S. Roy, S. Lathuilière, P. Rota, E. Ricci
International Conference on Computer Vision (ICCV), 2023
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition
A. Conti, P. Rota, Y. Wang, E. Ricci
British Machine Vision Conference (BMVC), 2022
Multimodal emotion recognition with modality-pairwise unsupervised contrastive loss
R. Franceschini, E. Fini, C. Beyan, A. Conti, F. Arrigoni, E. Ricci
International Conference on Pattern Recognition (ICPR), 2022
Projects
SPRING - Socially Pertinent Robots in Gerontological Healthcare
EU H2020-ICT Research and Innovation Action