Fabio Pizzati

Orcid: 0000-0002-6249-5649

According to our database1, Fabio Pizzati authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
On Pretraining Data Diversity for Self-Supervised Learning.
CoRR, 2024

SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?
CoRR, 2024

2023
Physics-Informed Guided Disentanglement in Generative Networks.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Material Palette: Extraction of Materials from a Single Image.
CoRR, 2023

2022
Exploring domain-informed and physics-guided learning in image-to-image translation.
PhD thesis, 2022

Leveraging Local Domains for Image-to-Image Translation.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

ManiFest: Manifold Deformation for Few-Shot Image Translation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Guided Disentanglement in Generative Networks.
CoRR, 2021

CoMoGAN: Continuous Model-Guided Image-to-Image Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Model-based disentanglement of lens occlusions.
CoRR, 2020

Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Model-Based Occlusion Disentanglement for Image-to-Image Translation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
A Deep-Learning Approach for Parking Slot Detection on Surround-View Images.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Enhanced free space detection in multiple lanes based on single CNN with scene identification.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Lane Detection and Classification Using Cascaded CNNs.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Convolutional Gated Recurrent Units for Obstacle Segmentation in Bird-Eye-View.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019


  Loading...