T1 – DEEP LEARNING FOR MULTI-GPUS

Speakers

T2 – QUANTITATIVE ANALYSIS IN MULTIMODALITY MEDICAL IMAGING USING DEEP LEARNING

Speakers

Prof. Habib Zaidi

T3 – FIRST PERSON (EGOCENTRIC) VISION FOR HUMAN-CENTRIC ASSISTANCE: HISTORY, BUILDING BLOCKS, AND APPLICATIONS

Speakers

Antonino Furnari, University of Catania and Next Vision s.r.l., Italy

Francesco Ragusa, University of Catania and Next Vision s.r.l., Italy

T4 – DEEP LEARNING FOR VISUAL OBJECT TRACKING

Speakers

Matteo Dunnhofer – University of Udine , Italy

T5 – LEARNING WITH MEMORY – FROM RECURRENT NEURAL NETWORKS TO MEMORY AUGMENTED NEURAL NETWORKS

Speakers

Federico Becattini, Università degli Studi di Firenze, Italy

T6 – INVERSE COMPUTATIONAL SPECTRAL GEOMETRY

Speakers

Prof. Emanuele Rodolà, Sapienza University of Rome, Italy

T7 – PRUNING DEEP NEURAL NETWORKS: TOWARDS EFFICIENT MODELS ON THE EDGE

Speakers

Enzo Tartaglione – Télécom Paris, Institut Polytechnique de Paris

T8 – VISION AND LANGUAGE: FROM CAPTIONING TO EMBODIED AI

Speakers

Lorenzo Baraldi – University of Modena, Italy

T9 – AN INTRODUCTION ON DEEPFAKES CREATION AND DETECTION APPROCHES

Speakers

Alessandro Ortis  – University of Catania, Italy

T10 – GRAPH-BASED IMAGE RECOGNITION

Speakers

Dr. Marco Del Coco – ISASI-CNR, Italy

Dr. Alessandro Negro – GraphAware

T11 – HYPERSPECTRAL SYSTEMS FOR MACHINE VISION INDUSTRIAL APPLICATIONS

Speakers

Vittorio Calbucci – ImageS s.p.a.