Gabriele Spadaro — accepted AI-conference papers

2026

RAVE: RATE-ADAPTIVE VISUAL ENCODING FOR 3D GAUSSIAN SPLATTING

Hoang Nhat Tran, Francesco Di Sario, Gabriele Spadaro, Giuseppe Valenzise, Enzo Tartaglione

ICASSP 2026oral

Recent advances in neural scene representations have transformed immersive multimedia, with 3D Gaussian Splatting (3DGS) enabling real-time photorealistic rendering. Despite its efficiency, 3DGS suffers from large memory requirements and costly training procedures, motivating efforts toward compress…

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2025

FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao +1

ICCV 2025poster

Recently, Multi-modal Large Language Models (MLLMs) have shown remarkable effectiveness for multi-modal tasks due to their ability of cross-modal understanding. However, processing long sequences of visual tokens extracted from visual backbones poses challenges for deployment in real-time applicatio…

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