Bio
I am a Principal Computer Vision Scientist at Amazon in Berlin.
I am passionate about multimodal models, connecting images/videos with language (e.g., MLLMs), creating models that people can seamlessly interact with and delivering them at scale.
Some of my skills include:
1) the capacity to reason about a wide breath of science and products, and ability to switch to science depth mode at the right time;
2) the ability to design and prototype complex AI models and demonstrate their practical value to leadership;
3) a strong experience in transferring technology into a shipping product at scale.
I obtained my Ph.D. in Computer Science from the University of Verona (Italy) in 2012 supervised by Prof. Vittorio Murino and Prof. Marco Cristani.
During my Ph.D., I visited the University of British Columbia collaborating with Prof. Nando de Freitas.
Before the current position, I was a postdoctoral fellow at Dartmouth College working with Prof. Lorenzo Torresani and I was a postdoctoral fellow at the Italian Institute of Technology working with Prof. Vittorio Murino.
Research and Publications [Google Scholar]
iEdit: Localised Text-guided Image Editing with Weak Supervision
R. Bodur, E. Gundogdu, B. Bhattarai, T-K Kim, M. Donoser, L. Bazzani
Arxiv, 2023
Contrastive Language-Action Pre-training for Temporal Localization
M. Xu, E. Gundogdu, M. Lapin, B. Ghanem, M. Donoser, L. Bazzani
Arxiv, 2022
Localized Triplet Loss for Fine-Grained Fashion Image Retrieval
A. D’Innocente, N. Garg, Y. Zhang, L. Bazzani, M. Donoser;
In Computer Vision and Pattern Recognition (CVPR) Workshops, 2021
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval
Y. Chen, L. Bazzani
In European Conference on Computer Vision (ECCV), 2020
Group Detection and Tracking using Sociological Features
S. Vascon, and L. Bazzani
Group and Crowd Behavior for Computer Vision, 2017
Approximate Log-Hilbert-Schmidt distances between covariance operators for image classification
H. Q. Minh, M. San Biagio, L. Bazzani, V. Murino
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification
H. Q. Minh, M. San Biagio, L. Bazzani, V. Murino
Arxiv, 2016
Weighted bag of visual words for object recognition
L. Bazzani*, M. San Biagio*, M. Cristani, V. Murino
In IEEE International Conference on Image Processing (ICIP), 2014
Semi-supervised multi-feature learning for person re-identification
D. Figueira, L. Bazzani, H.Q. Minh, M. Cristani, A. Bernardino, V. Murino
In International Conference on Advanced Video and Signal-based Surveillance (AVSS), 2013
Person re-identification with a PTZ camera: an introductory study
P. Salvagnini, L. Bazzani, M. Cristani, V. Murino
In International Conference on Image Processing (ICIP), 2013
Online bayesian non-parametrics for social group detection
M. Zanotto, L. Bazzani, M. Cristani, V. Murino
In British Machine Vision Conference (BMVC), 2012
Multiple-shot person re-identification by chromatic and epitomic analyses
L. Bazzani, M. Cristani, A. Perina, and V. Murino
Pattern Recognition Letters (PRL), 2012
Towards computational proxemics: Inferring social relations from interpersonal distances
M. Cristani, G. Pagetti, A. Vinciarelli, L. Bazzani, G. Menegaz, V. Murino
In International Conference on Social Computing (SocialCom), 2011
Multiple-shot person re-identification by hpe signature
L. Bazzani, M. Cristani, A. Perina, M. Farenzena, V. Murino
In International Conference on Pattern Recognition (ICPR), 2010
Collaborative particle filters for group tracking
L. Bazzani, M. Cristani, V. Murino
In International Conference on Image Processing (ICIP), 2010
Timeline
Principal Scientist, Amazon
Postdoc, Dartmouth College
Postdoc, Italian Institute of Technology
PhD in Computer Vision, University of Verona
M.S., University of Verona
B.S., University of Verona
Theses
Beyond Multi-target tracking: statistical pattern analysis of people and groups
L. Bazzani
PhD Thesis, University of Verona, 2012.
Particle filtering approaches for multi-target tracking in video surveillance applications
L. Bazzani
Master Thesis, University of Verona, 2008.
Techniques for the Analysis and the Classification of MRI for Searching Pathology with Application to Mental Health
L. Bazzani
Bachelor Thesis, University of Verona, 2006.