9 citations · 19 across the 5 of their papers we have counts for
5 papers
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis
Matteo Bonotto, Luigi Sarrocco, Daniele Evangelista +2
Neural Radiance Fields (NeRFs) have shown impressive results for novel view synthesis when a sufficiently large amount of views are available. When dealing with few-shot settings,…
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition
Ivano Donadi, Emilio Olivastri, Daniel Fusaro +3
Autonomous navigation in underwater environments presents challenges due to factors such as light absorption and water turbidity, limiting the effectiveness of optical sensors. Son…
A Graph-based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups
Daniele Evangelista, Emilio Olivastri, Davide Allegro +2
Hand-eye calibration is the problem of estimating the spatial transformation between a reference frame, usually the base of a robot arm or its gripper, and the reference frame of o…
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Daniel Fusaro, Emilio Olivastri, Daniele Evangelista +3
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation. This pap…
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista +4
This paper presents a new framework for human body part segmentation based on Deep Convolutional Neural Networks trained using only synthetic data. The proposed approach achieves c…