Davide Abati

According to our database, Davide Abati authored at least 17 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Object-Centric Diffusion for Efficient Video Editing.

Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian

CoRR, 2024

2023

ResQ: Residual Quantization for Video Perception.

Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Delta Distillation for Efficient Video Processing.

Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli

Proceedings of the Computer Vision - ECCV 2022, 2022

Region-of-Interest Based Neural Video Compression.

Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S. Cohen

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Skip-Convolutions for Efficient Video Processing.

Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Efficient Video Super Resolution by Gated Local Self Attention.

Davide Abati, Amir Ghodrati, Amirhossein Habibian

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Dark Experience for General Continual Learning: a Strong, Simple Baseline.

Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Conditional Channel Gated Networks for Task-Aware Continual Learning.

Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

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

Latent Space Autoregression for Novelty Detection.

Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Classifying Signals on Irregular Domains via Convolutional Cluster Pooling.

Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Attentive models in vision: Computing saliency maps in the deep learning era.

Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara

Intelligenza Artificiale, 2018

AND: Autoregressive Novelty Detectors.

Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara

CoRR, 2018

2017

Learning to Map Vehicles into Bird's Eye View.

Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

2016

Exploring Architectural Details Through a Wearable Egocentric Vision Device.

Stefano Alletto, Davide Abati, Giuseppe Serra, Rita Cucchiara

Sensors, 2016

2015

Wearable vision for retrieving architectural details in augmented tourist experiences.

Stefano Alletto, Davide Abati, Giuseppe Serra, Rita Cucchiara

Proceedings of the 7th International Conference on Intelligent Technologies for Interactive Entertainment, 2015