Giorgio Blandano

3rd Year PhD Candidate · UniMi

Dipartimento di Informatica “Giovanni Degli Antoni” — Università degli Studi di Milano. Member of PHuSe Lab.

I am a 3rd year PhD candidate at the University of Milan and a member of the PHuSe Lab, advised by Raffaella Lanzarotti and Alessandro D'Amelio.

I am broadly interested in geometric deep learning, equivariant architectures, and vision-language models. My current work focuses on enabling embodied agents to reason over long egocentric experiences, through the integration of spatial grounding, temporal context, and persistent 3D representations.

Latest news

15th Oct 2026

WACV 2027 · Paper

Our paper “No Pose, No Problem: SE(3)-Equivariant Facial Landmark Detection on 3D Data” has been accepted at WACV 2027! See you in Florida in January 🎉

8th Aug 2026

ECCV 2026 W · Paper

Our paper “The Ego-Allocentric Dialogue: World-Centred Grounded 3D Reasoning via Persistent Primitives” has been accepted at ECCV 2026 (HCV Workshop)! See you in Malmö 🎉

29th Jan 2025

CVIU · Journal

Our paper “2S-SGCN: A Two-Stage Stratified Graph Convolutional Network for Facial Landmark Detection on 3D Data” is out in Computer Vision and Image Understanding, Vol. 250 (Elsevier), open access. Read it here.

Research Interests

Geometric deep learningEquivariant architecturesVision-language modelsEmbodied agentsEgocentric video3D representations

Contacts

Email giorgio.blandano@unimi.it

Google Scholar Giorgio Blandano LinkedIn giorgio-blandano Office PHuSe Lab · via Celoria 18, Milano PHuSe Lab phuselab.di.unimi.it PHuSe Lab GitHub github.com/phuselab

Research

Google Scholar →

The Ego-Allocentric Dialogue: World-Centred Grounded 3D Reasoning via Persistent Primitives (2026)

G. Blandano, A. D'Amelio, R. Lanzarotti · ECCV 2026 Workshop

ECCV W · Workshop Accepted Coming soon See you in Malmö 🎉

No Pose, No Problem: SE(3)-Equivariant Facial Landmark Detection on 3D Data (2027)

G. Blandano, A. D'Amelio, G. Facchi, O. Ghezzi, R. Lanzarotti · WACV 2027

WACV · Conference Accepted Coming soon

2S-SGCN: A Two-Stage Stratified Graph Convolutional Network for Facial Landmark Detection on 3D Data (2025)

J. Burger, G. Blandano, G. M. Facchi, R. Lanzarotti · Computer Vision and Image Understanding, Vol. 250, 2025 (Elsevier)

CVIU · Journal Paper

Enhancing 3D Face Analysis Using Graph Convolutional Networks with Kernel-Attentive Filters (2025)

F. Agnelli, O. Ghezzi, G. Blandano, J. Burger, G. Facchi, L. Schmid · ACM SAC 2025, Catania, Italy

SAC · Conference Paper

EEG-Based Mental Stress Detection: A Comparative and Explainable Study Across Tasks and Subjects (2025)

F. Agnelli, G. Blandano, J. Burger, A. D'Amelio, G. Facchi, O. Ghezzi, R. Lanzarotti, L. Schmid · Springer, 2025

LNCS · Book Chapter Paper

Gender Classification via Graph Convolutional Networks on 3D Facial Models (2024)

G. Blandano, J. Burger, A. Cappella, C. Dolci, G. M. Facchi, F. Pedersini, C. Sforza, G. M. Tartaglia · ACM SAC 2024, Avila, Spain

SAC · Conference Paper