Loris Bazzani

AI Research Leader

Hi, I'm Loris, an AI Research Leader with 15+ years of experience in AI between academia and big tech. My research focus is in adaptive and collaborative multimodal learning and generation.

10 yrs
at Amazon
8+
Products Launched
$100M+
Business Impact
50+
Publications
6700+
Citations
28
H-index
New: I am searching for a new home to join, where I can lead high-stakes innovation and drive the next generation of AI for industry.
Image The Data Space: Controllable Multimodal Data Generation & Privacy
Image The Model Space: Multimodal Adaptation & Specialization
Image The Interaction Space: Human-AI Co-Design & Collaborative Learning
Image The Industry Space: Clear Impact on Real-world Applications
2026-now

Independent Researcher & Innovation Leader

Driving independent research and developing early-stage prototypes on adaptive and collaborative multimodal intelligence, focusing on the intersection of LMMs and interactive systems.
2025-now

Adjunct Professor @ University of Verona

Teaching Data Visualization as part of the Master’s degree in Data Science.
2016-2025

Principal Scientist @ Amazon

Led high-impact core research and launched 8+ products across Prime Video, Alexa, and mobile/.com shopping generating $100M+ in business impact, related to movies and TV series autotagging, image accessibility, live sports highlights, virtual try-on, interactive product recommendations, and shopping assistants, used by millions of users worldwide. I led scientist and developed novel models and architectures for video understanding, vision-language representation, Large Multimodal Models, and diffusion models.
2014-2015

Postdoc @ Dartmouth College

Research on video understanding, saliency in videos and object localization and detection. Collaborating with Prof. Lorenzo Torresani and Prof. Hugo Larochelle.
2011-2013

Postdoc @ Italian Institute of Technology

Research on video understanding, object recognition, Bayesian networks and Kernel-based methods. Collaborating with Prof. Vittorio Murino.
2009-2012

PhD in Computer Vision and Machine Learning @ University of Verona

Research on person re-identification, video understanding, tracking and attentional models. Supervised by Prof. Vittorio Murino and Prof. Marco Cristani.
2010

Visiting Student @ University of British Columbia

Collaborating with Prof. Nando de Freitas and Prof. Hugo Larochelle..

📢 News

More

📝 Research, Publications and Patents [Google Scholar]

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Interactive Episodic Memory with User Feedback

N. Subedi, L. Bazzani, Z. Al-Halah.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026
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Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation

Z. Liu, D. Talon, F. Girella, Z. Ruan, M. Mondo, L. Bazzani, Y. Wang, M. Cristani.
Arxiv, 2026
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Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare

A. Chhetri, B. Niroula, P. Shrestha, Y. R. Shrestha, L. A. Anderson, P. K. Gyawali, L. Bazzani, B. Bhattarai.
Arxiv, 2026
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Benchmarking Interaction, Beyond Policy: a Reproducible Benchmark for Collaborative Instance Object Navigation

E. Zorzi, F. Taioli, Y. Wang, M. Cristani, A. Farinelli, A. Castellini, L. Bazzani
Arxiv, 2026
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Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval

Z. Wang, S. Ramasinghe, C. Xu, J. Monteil, L. Bazzani, T. Ajanthan
In International Conference on Computer Vision (ICCV), 2025
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LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts

A. Cao, M. Jaritz, M. Guillaumin, R. de Charette, L. Bazzani
In IEEE Winter Conference on Applications of Computer Vision (WACV), 2025
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UniCoRN: Unified Commented Retrieval Network with LMMs

M. Jaritz, M. Guillaumin, S. Sternig, L. Bazzani
Arxiv, 2025
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ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

X. Yang, Y. Zuo, S. Ramasinghe, L. Bazzani, G. Avraham, A. van den Hengel
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
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iEdit: Localised Text-guided Image Editing with Weak Supervision

R. Bodur, E. Gundogdu, B. Bhattarai, T-K Kim, M. Donoser, L. Bazzani
In Computer Vision and Pattern Recognition (CVPR) Workshops, 2024
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[Patent] Interactive Retrieval Using Visual Semantic Matching

US-11720942, 2023
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[Patent] Localized Visual Similarity

US-11809520, 2023
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[Patent] Attribute-based Interactive Product Recommendations

US-11829445, 2023
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[Patent] Visual Blending of Content

US 11416910, 2022
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[Patent] Machine Learning System to Score Alt-text in Image Data

US-11361212, 2022
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Contrastive Language-Action Pre-training for Temporal Localization

M. Xu, E. Gundogdu, M. Lapin, B. Ghanem, M. Donoser, L. Bazzani
Arxiv, 2022
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Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval

Y. Hou, E. Vig, M. Donoser, L. Bazzani
In International Conference on Computer Vision (ICCV), 2021
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Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

A. Salvador, E. Gundogdu, L. Bazzani, M. Donoser
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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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
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Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval

Y. Chen, L. Bazzani
In European Conference on Computer Vision (ECCV), 2020
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Image Search with Text Feedback by Visiolinguistic Attention Learning

Y. Chen, S. Gong, L. Bazzani
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
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[Patent] Automated Video Ratings

US-10643074, 2020
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Image Captioning as Neural Machine Translation Task in SOCKEYE

L. Bazzani, T. Domhan, F. Hieber
Arxiv, 2018
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Recurrent Mixture Density Network for Spatiotemporal Visual Attention

L. Bazzani, H. Larochelle, L. Torresani
International Conference on Learning Representations (ICLR), 2017
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Group Detection and Tracking using Sociological Features

S. Vascon, and L. Bazzani
Group and Crowd Behavior for Computer Vision, 2017
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Image and Video Understanding in Big Data

V. Murino, S. Gong, C. C. Loy and L. Bazzani
Special Issue in CVIU, 2017.
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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
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Self-taught Object Localization with Deep Networks

L. Bazzani, A. Bergamo, D. Anguelov, L. Torresani
In IEEE Winter Conference on Applications of Computer Vision (WACV), 2016
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A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning

H. Q. Minh, L. Bazzani, V. Murino
Journal of Machine Learning Research (JMLR), 2016
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Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification

H. Q. Minh, M. San Biagio, L. Bazzani, V. Murino
Arxiv, 2016
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Joint Individual-Group Modeling for Tracking

L. Bazzani*, M. Zanotto*, M. Cristani, V. Murino
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2015
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SDALF: Modeling Human Appearance with Symmetry-driven Accumulation of Local Features

L. Bazzani, M. Cristani, V. Murino
Person Re-identification, 2014
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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
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A Unifying Framework for Vector-valued Manifold Regularization and Multi-view Learning

H. Q. Minh, L. Bazzani, V. Murino
The 30th International Conference on Machine Learning (ICML), 2013
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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
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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
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Symmetry-Driven Accumulation of Local Features for Human Characterization and Re-Identification

L. Bazzani, M. Cristani, V. Murino
Computer Vision and Image Understanding (CVIU), 2013
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Social Interactions by Visual Focus of Attention in a Three-Dimensional Environment

L. Bazzani, D. Tosato, M. Cristani, M. Farenzena, G. Pagetti, G. Menegaz, and V. Murino
Expert Systems 2013
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Decentralized Particle Filter for Joint Individual-Group Tracking

L. Bazzani, M. Cristani, V. Murino
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
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Learning Where to Attend with Deep Architectures for Image Tracking

M. Denil, L. Bazzani, H. Larochelle, and N. de Freitas
Neural Computation, 2012
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Re-Identification with RGB-D Sensors

B. I. Barbosa, M. Cristani, A. Del Bue, L. Bazzani, V. Murino
In 1st International Workshop on Re-Identification, 2012
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Online Bayesian Non-Parametrics for Social Group Detection

M. Zanotto, L. Bazzani, M. Cristani, V. Murino
In British Machine Vision Conference (BMVC), 2012
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Analyzing Groups: A Social Signaling Perspective

L. Bazzani, M. Cristani, G. Paggetti, D. Tosato, G. Menegaz, and V. Murino
Video Analytics for Business Intelligence, 2012
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Multiple-Shot Person Re-Identification by Chromatic and Epitomic Analyses

L. Bazzani, M. Cristani, A. Perina, and V. Murino
Pattern Recognition Letters (PRL), 2012
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Learning Attentional Policies for Object Tracking and Recognition in Video with Deep Networks

L. Bazzani, N. de Freitas, H. Larochelle, V. Murino, J-A Ting
The 30th International Conference on Machine Learning (ICML), 2011
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Custom Pictorial Structures for Re-Identification

D. S. Cheng, M. Cristani, M. Stoppa, L. Bazzani, V. Murino
In British Machine Vision Conference (BMVC), 2011
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Social Interaction Discovery by Statistical Analysis of F-Formations

M. Cristani, L. Bazzani, G. Pagetti, A. Fossati, D. Tosato, A. Del Bue, G. Menegaz, V. Murino
In British Machine Vision Conference (BMVC), 2011
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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
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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
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Person Re-Identification by Symmetry-Driven Accumulation of Local Features

M. Farenzena, L. Bazzani, A. Perina, M. Cristani, V. Murino
In Conference on Computer Vision and Pattern Recognition (CVPR), 2010
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Collaborative Particle Filters for Group Tracking

L. Bazzani, M. Cristani, V. Murino
In International Conference on Image Processing (ICIP), 2010
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🦄 Personal Projects

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Music Album: Accepted Insanity

As long-time keyboardist, I am currently composing and producing original synthwave music. This album explores the insanity that sorrounds us but we are somehow programmed to accept.
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Personal Hybrid Training Planner

As a runner and passionate about strength training, I created a personalized planner that leverages AI to build highly personalized, multi-week training plans tailored to your specific requirements.