Grangetto, Marco

11 publications

WACV 2025 Efficient Progressive Image Compression with Variance-Aware Masking Alberto Presta, Enzo Tartaglione, Attilio Fiandrotti, Marco Grangetto, Pamela Cosman

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

ECCVW 2024 AA-SGAN: Adversarially Augmented Social GAN with Synthetic Data Mirko Zaffaroni, Federico Signoretta, Marco Grangetto, Attilio Fiandrotti

NeurIPSW 2024 An Image to Tailor: I-Frame Domain Adaptation in Neural Video Compression Alberto Presta, Gabriele Spadaro, Attilio Fiandrotti, Marco Grangetto

NeurIPSW 2024 Are Capsule Networks Texture or Shape Biased? Riccardo Renzulli, Dominik Vranay, Marco Grangetto

ECCV 2024 Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Enzo Tartaglione

ICCVW 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

ICLR 2023 Unbiased Supervised Contrastive Learning Carlo Alberto Barbano, Benoit Dufumier, Enzo Tartaglione, Marco Grangetto, Pietro Gori

NeurIPS 2022 To Update or Not to Update? Neurons at Equilibrium in Deep Models Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto

ICCVW 2021 Bridging the Gap Between Debiasing and Privacy for Deep Learning Carlo Alberto Barbano, Enzo Tartaglione, Marco Grangetto

CVPR 2021 EnD: Entangling and Disentangling Deep Representations for Bias Correction Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto