Gabriele Spadaro

According to our database, Gabriele Spadaro authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Improving video codec quality with AI-based super-resolution and directional-mode enhancement.

Alessandro Artusi, Mattia Angelini, Gabriele Spadaro, Attilio Fiandrotti, Giovanni Ballocca, Alessandra Mosca, Roberto Iacoviello, Leonardo Chiariglione

Multim. Tools Appl., April, 2026

TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones.

Gabriele Spadaro, Andrea Bragagnolo, Riccardo Renzulli, Marco Grangetto, Jhony H. Giraldo, Attilio Fiandrotti, Enzo Tartaglione

Neurocomputing, 2026

2025

RAVE: Rate-Adaptive Visual Encoding for 3D Gaussian Splatting.

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

CoRR, December, 2025

FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance.

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Enzo Tartaglione

CoRR, January, 2025

Adaptive Compression: From Visual Data to Efficient and Transferable Models. (Compression adaptative: des données visuelles à des modèles efficaces et transférables).

Gabriele Spadaro

PhD thesis, 2025

WiGNet: Windowed Vision Graph Neural Network.

Gabriele Spadaro, Marco Grangetto, Attilio Fiandrotti, Enzo Tartaglione, Jhony H. Giraldo

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

Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates.

Gabriele Spadaro, Alberto Presta, Jhony H. Giraldo, Marco Grangetto, Wei Hu, Giuseppe Valenzise, Attilio Fiandrotti, Enzo Tartaglione

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

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

Haicheng Wang, Zhemeng Yu, Gabriele Spadaro, Chen Ju, Victor Quétu, Shuai Xiao, Enzo Tartaglione

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

2024

ALICE: Adapt your Learnable Image Compression modEl for variable bitrates.

Gabriele Spadaro, Muhammad Salman Ali, Alberto Presta, Giommaria Pilo, Sung-Ho Bae, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2024

Gabic: Graph-Based Attention Block for Image Compression.

Gabriele Spadaro, Alberto Presta, Enzo Tartaglione, Jhony H. Giraldo, Marco Grangetto, Attilio Fiandrotti

Proceedings of the IEEE International Conference on Image Processing, 2024

Domain Adaptation for Learned Image Compression with Supervised Adapters.

Alberto Presta, Gabriele Spadaro, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto

Proceedings of the Data Compression Conference, 2024

2023

Towards One-Shot PCB Component Detection with YOLO.

Gabriele Spadaro, Gaspare Vetrano, Barbara Penna, Antonio Serena, Attilio Fiandrotti

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

A Learnable EVC Intra Predictor Using Masked Convolutions.

Gabriele Spadaro, Roberto Iacoviello, Alessandra Mosca, Giuseppe Valenzise, Attilio Fiandrotti

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets.

Gabriele Spadaro, Riccardo Renzulli, Andrea Bragagnolo, Jhony H. Giraldo, Attilio Fiandrotti, Marco Grangetto, Enzo Tartaglione

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023