Davide Talon | Homepage

I am a PostDoc at Fondazione Bruno Kessler (FBK) working on efficient multi-modal learning.
I am part of Deep Visual Learning(DVL) unit, advised by Prof. Elisa Ricci and Dr. Yiming Wang.

Before joining FBK I obtained the PhD in Computer Vision at University of Genova and Italian Institute of Technology (IIT) under the supervision of Dr. Alessio Del Bue and Prof. Stuart James. During the PhD, I visited the University of Amsterdam to work with Prof. Sara Magliacane. I completed both the BS in Information Engineering and the MS in Computer Engineering at University of Padova.
CV / Twitter

Research interests

Machine Learning: deep learning, representation learning, vision-language models, causality.

News

[Jun 2025] Thrilled about the two papers accepted at ICCV25! Congratulations to Deepayan (VLM personalization) and Federico (Sketch-text generation)!
[Jun 2025] We have one paper accepted at ICIAP25! Congratulations to Karin working on evaluation of T2I models for fashion. See you in Rome!
[Jun 2025] We have one paper accepted to ICIAP25! Congratulations to Karin working on evaluation of T2I models for fashion. See you in Rome!
[Feb 2025] Beyond excited to share that our recent paper “Seeing the Abstract: Translating the Abstract Language for Vision Language Models” has been accepted to CVPR25. See you in Nashville!
[Feb 2025] Excited to start teaching - This spring I will be teaching Introduction to Machine Learning for the Data Science Master Program at UniTN
[Nov 2024] Good news! Ours recent work “GANzzle++: Generative approaches for jigsaw puzzle solving as local to global assignment in latent spatial representations” has been accepted for publication on Pattern Recognition Letters!
[Oct 2024] Our work “One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering” has been accepted at WACV2025!

Publications

LOTS of Fashion! Multi-Conditioning for Image Generation via Sketch-Text Pairing, F. Girella, D. Talon, Z. Liu, Z. Ruan, Y. Wang, M. Cristani, The IEEE/CVF International Conference on Computer Vision, 2025.
Training-Free Personalization via Retrieval and Reasoning on Fingerprints, D. Das, D. Talon, Y. Wang, M. Mancini, E. Ricci, The IEEE/CVF International Conference on Computer Vision, 2025.[PDF]
Evaluating Attribute Confusion in Fashion Text-to-Image Generation, Z. Liu, F. Girella, Y. Wang, D. Talon, International Conference on Image Analysis and Processing, 2025.
Seeing the Abstract: Translating the Abstract Language for Vision Language Models, D. Talon, F. Girella, Z. Liu, M. Cristani, Y. Wang, The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025. [PDF] [Code] [Homepage] [Poster] [Video]
GANzzle++: Generative approaches for jigsaw puzzle solving as local to global assignment in latent spatial representations, D. Talon, A. Del Bue, S. James, Pattern Recognition Letters, 2024.
One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering, D. Das, D. Talon, Y. Wang, M. Mancini, E. Ricci, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation, M. Litrico, D. Talon, S. Battiato, A. Del Bue, M. V. Giuffrida, P. Morerio, arXiv preprint arXiv:2404.10574, 2024. [PDF]
Towards the Reusability and Compositionality of Causal Representations,
D. Talon, P. Lippe, S. James, A. Del Bue, S. Magliacane, Conference on Causal Learning and Reasoning, 2024. [PDF]
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis, A. Maracani, R. Camoriano, E. Maiettini, D. Talon, L. Rosasco, L. Natale, arXiv preprint arXiv:2402.16090, 2024. [PDF]
Towards the Reusability and Compositionality of Causal Representations,
D. Talon, P. Lippe, S. James, A. Del Bue, S. Magliacane, NeurIPS Workshop on Causal Representation Learning, 2023. [PDF][Poster]
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation, A. Maracani, R. Camoriano, E. Maiettini, D. Talon, L. Rosasco, L. Natale, ECML Workshop on Reliable Multimodal Learning Across Domains, 2023. [PDF]
GANzzle: Reframing jigsaw puzzle solving as a retrieval task using a generative mental image, D. Talon, A. Del Bue, S. James, IEEE International Conference on Image Processing (ICIP), 2022. [PDF] [Data] [Poster]
Comparing DASH Adaptation Algorithms in a Real Network Environment,
D. Talon, L. Attanasio, F. Chiariotti, M. Gadaleta, A. Zanella and M. Rossi, European Wireless 2019, Denmark. [PDF] [Code]

Teaching

Advanced Multimodal Learning, Fall 2025, IECS Doctoral School - University of Trento
Introduction to Machine Learning, Spring 2025, Data Science Master Degree - University of Trento

Service to the community

Workshop Organizer: GreenFOMO@ECCV24.
Area Chair: BMVC25.
Conference Reviewer: BMVC21, ECCV24, IROS24, CVPR25, ACMMM25.
Journal Reviewer: Pattern Recognition.
Workshop Reviewer: MULA@CVPR22, CRL@UAI22, VISART@ECCV22, nCSI@NeurIPS22, MULA@CVPR23, AtC@ECMLPKDD23, CRL@NeurIPS23, MULA@CVPR24.