Viraliency: Pooling Local Virality. - Xavier Alameda-Pineda; Andrea Pilzer; Dan Xu 002; Nicu Sebe; Elisa Ricci 001 (CVPR, 2017)

Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks. - Andrea Pilzer; Dan Xu 002; Mihai Marian Puscas; Elisa Ricci 001; Nicu Sebe (3DV, 2018)

Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation. - Mihai Marian Puscas; Dan Xu 002; Andrea Pilzer; Nicu Sebe (3DV, 2019)

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation. - Andrea Pilzer; Stéphane Lathuilière; Nicu Sebe; Elisa Ricci 001 (CVPR, 2019)

Online Adaptation through Meta-Learning for Stereo Depth Estimation. - Zhenyu Zhang 005; Stéphane Lathuilière; Andrea Pilzer; Nicu Sebe; Elisa Ricci 001; Jian Yang 003 (CoRR, 2019)

Progressive Fusion for Unsupervised Binocular Depth Estimation Using Cycled Networks. - Andrea Pilzer; Stéphane Lathuilière; Dan Xu 002; Mihai Marian Puscas; Elisa Ricci 001; Nicu Sebe (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Uncertainty-Guided Source-Free Domain Adaptation. - Subhankar Roy; Martin Trapp 001; Andrea Pilzer; Juho Kannala; Nicu Sebe; Elisa Ricci 001; Arno Solin (ECCV (25), 2022)

A Look at Improving Robustness in Visual- inertial SLAM by Moment Matching. - Arno Solin; Rui Li; Andrea Pilzer (FUSION, 2022)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Expansion of Visual Hints for Improved Generalization in Stereo Matching. - Andrea Pilzer; Yuxin Hou; Niki Andreas Lopi; Arno Solin; Juho Kannala (WACV, 2023)

Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP. - Sara Papi; Marco Gaido; Andrea Pilzer; Matteo Negri (CoRR, 2023)

Computer Vision in Human Analysis: From Face and Body to Clothes. - Mohamed Daoudi; Roberto Vezzani; Guido Borghi; Claudio Ferrari; Marcella Cornia; Federico Becattini; Andrea Pilzer (Sensors, 2023)

When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP. - Sara Papi; Marco Gaido; Andrea Pilzer; Matteo Negri (ACL (1), 2024)

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models. - Gianni Franchi; Olivier Laurent 002; Maxence Leguéry; Andrei Bursuc; Andrea Pilzer; Angela Yao (CVPR, 2024)

Fixing Overconfidence in Dynamic Neural Networks. - Lassi Meronen; Martin Trapp 001; Andrea Pilzer; Le Yang 007; Arno Solin (WACV, 2024)

RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. - Renato Sortino; Thomas Cecconello; Andrea DeMarco; Giuseppe Fiameni; Andrea Pilzer; Daniel Magro; Andrew M. Hopkins; Simone Riggi; Eva Sciacca; Adriano Ingallinera; Cristobal Bordiu; Filomena Bufano; et al. (IEEE Trans. Artif. Intell., 2024)

Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation. - Gianni Franchi; Nacim Belkhir; Dat Nguyen Trong; Guoxuan Xia; Andrea Pilzer (CVPR, 2025)

Learning to mask and permute visual tokens for Vision Transformer pre-training. - Lorenzo Baraldi 002; Roberto Amoroso; Marcella Cornia; Lorenzo Baraldi 001; Andrea Pilzer; Rita Cucchiara (Comput. Vis. Image Underst., 2025)

FloodSformer: A transformer-based data-driven model for predicting the 2-D dynamics of fluvial floods. - Matteo Pianforini; Susanna Dazzi; Andrea Pilzer; Renato Vacondio (Environ. Model. Softw., 2025)

Video Unlearning via Low-Rank Refusal Vector. - Simone Facchiano; Stefano Saravalle; Matteo Migliarini; Edoardo De Matteis; Alessio Sampieri; Andrea Pilzer; Emanuele Rodolà; Indro Spinelli; Luca Franco; Fabio Galasso (CoRR, 2025)