Loris Bazzani

😊 Bio

I am an AI Research Leader with 15+ years of experience advancing AI, from classical computer vision and machine learning to today's foundation and multimodal generative models.

I specialize in adaptive and collaborative multimodal learning and generation, with a forward-looking emphasis on: 1) specialization of large multimodal and diffusion-based models, 2) controllable multimodal generation and editing for data synthesis, 3) interaction-native modeling and learning, and 4) impact on real-world industrial applications.

My background integrates deep research roots with industrial execution:

During nearly a decade at Amazon, I served as a Principal Scientist, leading high-impact core research and product efforts across Prime Video, Alexa, and mobile/.com shopping. I co-developed novel models and architectures for video understanding, vision-language representation, Large Multimodal Models, and diffusion models. My work powered AI-driven features such as live sports highlights, virtual try-on, interactive product recommendations, and shopping assistants, used by millions of users worldwide and generating O(XXM) USD in business impact.
I spent the first part of my career in academia, obtaining my Ph.D. in Computer Science from the University of Verona (Italy) in 2012 supervised by Prof. Vittorio Murino and Prof. Marco Cristani. I was a visiting student at the University of British Columbia with Prof. Nando de Freitas. 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.

Creativity fuels my work in both science and sound. A long-time keyboardist and former band member, I am currently composing and producing original music in my home studio. You can explore my latest tracks here: Listen on SoundCloud.

📢 News

Now: I am searching for a new home to join, seeking an environment where I can lead high-stakes innovation and drive the next generation of AI for industry.
Mar 2, 2026: Invited guest lecture on Multimodal Intelligence at University of Utah. Thanks Ziad!
Feb 21, 2026: 1/2 papers accepted at CVPR 2026!
Dec 5, 2025: Invited speaker at the University of Trento and FBK. Thanks Yiming!
Nov 28, 2025: Invited speaker at the Turin AI Fall School 2025. Thanks Tatiana!
Oct 27, 2025: Invited speaker at the IIT. Thanks Vittorio!

Interactive Episodic Memory with User Feedback

N. Subedi, L. Bazzani, Z. Al-Halah.

In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026

Loris Bazzani

😊 Bio

📢 News

📝 Research, Publications and Patents [Google Scholar]

Interactive Episodic Memory with User Feedback

Multi-Level Conditioning by Pairing Localized Text and Sketch for Fashion Image Generation

Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare

Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval

LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts

UniCoRN: Unified Commented Retrieval Network with LMMs

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

iEdit: Localised Text-guided Image Editing with Weak Supervision

[Patent] Interactive Retrieval Using Visual Semantic Matching

[Patent] Localized Visual Similarity

[Patent] Attribute-based Interactive Product Recommendations

[Patent] Visual Blending of Content

[Patent] Machine learning System to Score Alt-text in Image Data

Contrastive Language-Action Pre-training for Temporal Localization

Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval

Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning

Localized Triplet Loss for Fine-Grained Fashion Image Retrieval

Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval

Image Search with Text Feedback by Visiolinguistic Attention Learning

[Patent] Automated Video Ratings

Image Captioning as Neural Machine Translation Task in SOCKEYE

Recurrent Mixture Density Network for Spatiotemporal Visual Attention

Group Detection and Tracking using Sociological Features

Approximate Log-Hilbert-Schmidt distances between covariance operators for image classification

Self-taught object localization with deep networks

A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning

Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification

Joint Individual-Group Modeling for Tracking

SDALF: modeling human appearance with symmetry-driven accumulation of local features

Weighted bag of visual words for object recognition

A unifying framework for vector-valued manifold regularization and multi-view learning

Semi-supervised multi-feature learning for person re-identification

Person re-identification with a PTZ camera: an introductory study

Symmetry-driven accumulation of local features for human characterization and re-identification

Social interactions by visual focus of attention in a three-dimensional environment

Decentralized particle filter for joint individual-group tracking

Learning where to attend with deep architectures for image tracking

Re-identification with RGB-D sensors

Online bayesian non-parametrics for social group detection

Analyzing groups: a social signaling perspective

Multiple-shot person re-identification by chromatic and epitomic analyses

Learning attentional policies for object tracking and recognition in video with deep networks

Custom pictorial structures for re-identification

Social interaction discovery by statistical analysis of F-formations

Towards computational proxemics: Inferring social relations from interpersonal distances

Multiple-shot person re-identification by hpe signature

Person re-identification by symmetry-driven accumulation of local features

Collaborative particle filters for group tracking

💼 My Experience

Independent Researcher & Innovation Leader

Adjunct Professor, University of Verona

Principal Scientist, Amazon

Postdoc, Dartmouth College

Postdoc, Italian Institute of Technology

PhD in Computer Vision, University of Verona

Visiting Student, University of British Columbia