Wearable vision for retrieving architectural details in augmented tourist experiences. - Stefano Alletto; Davide Abati; Giuseppe Serra 001; Rita Cucchiara (INTETAIN, 2015)

Exploring Architectural Details Through a Wearable Egocentric Vision Device. - Stefano Alletto; Davide Abati; Giuseppe Serra 001; Rita Cucchiara (Sensors, 2016)

Learning to Map Vehicles into Bird's Eye View. - Andrea Palazzi; Guido Borghi; Davide Abati; Simone Calderara; Rita Cucchiara (ICIAP (1), 2017)

AND: Autoregressive Novelty Detectors. - Davide Abati; Angelo Porrello; Simone Calderara; Rita Cucchiara (CoRR, 2018)

Attentive models in vision: Computing saliency maps in the deep learning era. - Marcella Cornia; Davide Abati; Lorenzo Baraldi 001; Andrea Palazzi; Simone Calderara; Rita Cucchiara (Intelligenza Artificiale, 2018)

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. - Angelo Porrello; Davide Abati; Simone Calderara; Rita Cucchiara (AISTATS, 2019)

Latent Space Autoregression for Novelty Detection. - Davide Abati; Angelo Porrello; Simone Calderara; Rita Cucchiara (CVPR, 2019)

Predicting the Driver's Focus of Attention: The DR(eye)VE Project. - Andrea Palazzi; Davide Abati; Simone Calderara; Francesco Solera; Rita Cucchiara (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Self-Supervised Optical Flow Estimation by Projective Bootstrap. - Stefano Alletto; Davide Abati; Simone Calderara; Rita Cucchiara; Luca Rigazio (IEEE Trans. Intell. Transp. Syst., 2019)

Conditional Channel Gated Networks for Task-Aware Continual Learning. - Davide Abati; Jakub Tomczak; Tijmen Blankevoort; Simone Calderara; Rita Cucchiara; Babak Ehteshami Bejnordi (CVPR, 2020)

Dark Experience for General Continual Learning: a Strong, Simple Baseline. - Pietro Buzzega; Matteo Boschini; Angelo Porrello; Davide Abati; Simone Calderara (NeurIPS, 2020)

Efficient Video Super Resolution by Gated Local Self Attention. - Davide Abati; Amir Ghodrati; Amirhossein Habibian (BMVC, 2021)

Skip-Convolutions for Efficient Video Processing. - Amirhossein Habibian; Davide Abati; Taco S. Cohen; Babak Ehteshami Bejnordi (CVPR, 2021)

Region-of-Interest Based Neural Video Compression. - Yura Perugachi-Diaz; Guillaume Sautière; Davide Abati; Yang Yang 010; Amirhossein Habibian; Taco S. Cohen (BMVC, 2022)

Delta Distillation for Efficient Video Processing. - Amirhossein Habibian; Haitam Ben Yahia; Davide Abati; Efstratios Gavves; Fatih Porikli (ECCV (35), 2022)

ResQ: Residual Quantization for Video Perception. - Davide Abati; Haitam Ben Yahia; Markus Nagel; Amirhossein Habibian (ICCV, 2023)

Object-Centric Diffusion for Efficient Video Editing. - Kumara Kahatapitiya; Adil Karjauv; Davide Abati; Fatih Porikli; Yuki M. Asano; Amirhossein Habibian (ECCV (57), 2024)

Generative Location Modeling for Spatially Aware Object Insertion. - Jooyeol Yun; Davide Abati; Mohamed Omran; Jaegul Choo; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2024)

Gaussian Splatting is an Effective Data Generator for 3D Object Detection. - Farhad G. Zanjani; Davide Abati; Auke J. Wiggers; Dimitris Kalatzis; Jens Petersen; Hong Cai; Amirhossein Habibian (CoRR, 2025)

Scene-Aware Location Modeling for Data Augmentation in Automotive Object Detection. - Jens Petersen; Davide Abati; Amirhossein Habibian; Auke J. Wiggers (CoRR, 2025)