Profile

Francesco Taioli

PhD Candidate in Artificial Intelligence (2026)

I am a PhD Candidate in the National PhD Programme in Artificial Intelligence at the Polytechnic of Turin, supervised by Prof. Marco Cristani and Prof. Alessandro Farinelli.

My research interests broadly lie in Deep Learning, with a particular focus on enhancing the autonomy of intelligent agents. Currently, I am exploring Foundation Models (VLMs, LLMs & VLAs) and their applications in Embodied AI, with the goal of advancing navigation, embodied reasoning, and human-robot interaction.


News

What do human-agent bidirectional interaction, navigation, vision-language models, and hallucinations have in common? Read our new ICCV paper!

We had a paper accepted at the 5th Annual Embodied AI Workshop @ CVPR 2024. Moreover, we won the MultiON Challenge @ CVPR 2024!

Education & Work

Applied Scientist Intern

Applied Scientist Intern

Amazon, Madrid, Spain

Visiting Research Student

Visiting Research Student

Simon Fraser University, Vancouver, Canada

National Ph.D. Programme in Artificial Intelligence

National Ph.D. Programme in Artificial Intelligence

Polytechnic of Turin, Turin, Italy

B.Sc. & M.Sc. in Computer Science & Engineering

B.Sc. & M.Sc. in Computer Science & Engineering

University of Verona, Verona, Italy

Publications

Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues

F Taioli, E Zorzi, G Franchi, A Castellini, A Farinelli, M Cristani, Y Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection

L Capogrosso*, F Girella*, F Taioli*, MD Chiara, M Aqeel, F Fummi, F Setti, M Cristani

VISAPP - 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2024

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation

F Taioli, S Rosa, A Castellini, L Natale, A Del Bue, A Farinelli, M Cristani, Y Wang

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections

F Taioli, F Giuliari, Y Wang, R Berra, A Castellini, A Del Bue, A Farinelli, M Cristani

IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (12), 10375-10389, 2024

I2EDL: Interactive Instruction Error Detection and Localization

F Taioli, S Rosa, A Castellini, L Natale, A Del Bue, A Farinelli, M Cristani, Y Wang

2024 33rd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

Language-Enhanced RNR-Map: Querying Renderable Neural Radiance Field Maps with Natural Language

F Taioli, F Cunico, F Girella, R Bologna, A Farinelli, M Cristani

IEEE/CVF International Conference on Computer Vision, 4669-4674, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification

L Morra, A Azzari, L Bergamasco, M Braga, L Capogrosso, F Delrio, et al.

NeSy - Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

SCENE-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements

A Toaiari, F Cunico, F Taioli, A Caputo, G Menegaz, A Giachetti, GM Farinella, M Cristani

ICIAP - International Conference on Image Analysis and Processing, 352-363, 2023