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 (ICCV (Workshops), 2023)

A Learnable EVC Intra Predictor Using Masked Convolutions. - Gabriele Spadaro; Roberto Iacoviello; Alessandra Mosca; Giuseppe Valenzise; Attilio Fiandrotti (ICIAP (1), 2023)

Towards One-Shot PCB Component Detection with YOLO. - Gabriele Spadaro; Gaspare Vetrano; Barbara Penna; Antonio Serena; Attilio Fiandrotti (ICIAP Workshops (1), 2023)

Domain Adaptation for Learned Image Compression with Supervised Adapters. - Alberto Presta; Gabriele Spadaro; Enzo Tartaglione; Attilio Fiandrotti; Marco Grangetto (DCC, 2024)

Gabic: Graph-Based Attention Block for Image Compression. - Gabriele Spadaro; Alberto Presta; Enzo Tartaglione; Jhony H. Giraldo; Marco Grangetto; Attilio Fiandrotti (ICIP, 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 (VCIP, 2024)

WiGNet: Windowed Vision Graph Neural Network. - Gabriele Spadaro; Marco Grangetto; Attilio Fiandrotti; Enzo Tartaglione; Jhony H. Giraldo (WACV, 2025)

FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance. - Haicheng Wang; Zhemeng Yu; Gabriele Spadaro; Chen Ju; Victor Quétu; Enzo Tartaglione (CoRR, 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 (CoRR, 2025)