Unsupervised Domain Adaptation in Semantic Segmentation: a Review. - Marco Toldo; Andrea Maracani; Umberto Michieli; Pietro Zanuttigh (CoRR, 2020)

RECALL: Replay-based Continual Learning in Semantic Segmentation. - Andrea Maracani; Umberto Michieli; Marco Toldo; Pietro Zanuttigh (ICCV, 2021)

From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach. - Elisa Maiettini; Andrea Maracani; Raffaello Camoriano; Giulia Pasquale; Vadim Tikhanoff; Lorenzo Rosasco; Lorenzo Natale (RO-MAN, 2022)

Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation. - Andrea Maracani; Raffaello Camoriano; Elisa Maiettini; Davide Talon; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2023)

Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors. - Gabriele M. Caddeo; Andrea Maracani; Paolo Didier Alfano; Nicola A. Piga; Lorenzo Rosasco; Lorenzo Natale (ICRA, 2024)

Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis. - Andrea Maracani; Raffaello Camoriano; Elisa Maiettini; Davide Talon; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2024)

Trust And Balance: Few Trusted Samples Pseudo-Labeling and Temperature Scaled Loss for Effective Source-Free Unsupervised Domain Adaptation. - Andrea Maracani; Lorenzo Rosasco; Lorenzo Natale (CoRR, 2024)

Knowledge Transferability for Data-Efficient Deep Learning. - Andrea Maracani (2024)

Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. - Andrea Maracani; Savas Özkan; Sijun Cho; Hyowon Kim; Eunchung Noh; Jeongwon Min; Cho Jung Min; Dookun Park; Mete Ozay (CVPR, 2025)

Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. - Savas Özkan; Andrea Maracani; Mete Ozay; Hyowon Kim; Sijun Cho; Eunchung Noh; Jeongwon Min; Jung Min Cho (MMSys, 2025)

In-domain Self-supervised Learning for Plankton Image Classification on a Budget. - Massimiliano Ciranni; Ani Gjergji; Andrea Maracani; Vittorio Murino; Vito Paolo Pastore (WACV (Workshops), 2025)