Bridging Between Computer and Robot Vision Through Data Augmentation: A Case Study on Object Recognition. - Antonio D'Innocente; Fabio Maria Carlucci; Mirco Colosi; Barbara Caputo (ICVS, 2017)

Domain Generalization with Domain-Specific Aggregation Modules. - Antonio D'Innocente; Barbara Caputo (GCPR, 2018)

Domain Generalization by Solving Jigsaw Puzzles. - Fabio Maria Carlucci; Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CVPR, 2019)

Tackling Partial Domain Adaptation with Self-supervision. - Silvia Bucci; Antonio D'Innocente; Tatiana Tommasi (ICIAP (2), 2019)

Learning to Generalize One Sample at a Time with Self-Supervision. - Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CoRR, 2019)

Domain Generalization vs Data Augmentation: An Unbiased Perspective. - Francesco Cappio Borlino; Antonio D'Innocente; Tatiana Tommasi (ECCV Workshops (1), 2020)

One-Shot Unsupervised Cross-Domain Detection. - Antonio D'Innocente; Francesco Cappio Borlino; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (ECCV (16), 2020)

Rethinking Domain Generalization Baselines. - Francesco Cappio Borlino; Antonio D'Innocente; Tatiana Tommasi (ICPR, 2020)

Localized Triplet Loss for Fine-Grained Fashion Image Retrieval. - Antonio D'Innocente; Nikhil Garg; Yuan Zhang; Loris Bazzani; Michael Donoser (CVPR Workshops, 2021)

Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain Detection. - Francesco Cappio Borlino; Salvatore Polizzotto; Antonio D'Innocente; Silvia Bucci; Barbara Caputo; Tatiana Tommasi (CoRR, 2021)

Exploring Data Aggregation and Transformations to Generalize across Visual Domains. - Antonio D'Innocente (CoRR, 2021)

Self-Supervised Learning Across Domains. - Silvia Bucci; Antonio D'Innocente; Yujun Liao; Fabio Maria Carlucci; Barbara Caputo; Tatiana Tommasi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)