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Daniele Evangelista
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2020 – today
- 2024
- [c13]Matteo Bonotto, Luigi Sarrocco, Daniele Evangelista, Marco Imperoli, Alberto Pretto:
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis. 3DV 2024: 641-650 - [i5]Matteo Bonotto, Luigi Sarrocco, Daniele Evangelista, Marco Imperoli, Alberto Pretto:
CombiNeRF: A Combination of Regularization Techniques for Few-Shot Neural Radiance Field View Synthesis. CoRR abs/2403.14412 (2024) - 2023
- [j1]Daniel Fusaro, Emilio Olivastri, Ivano Donadi, Daniele Evangelista, Emanuele Menegatti, Alberto Pretto:
Pyramidal 3D feature fusion on polar grids for fast and robust traversability analysis on CPU. Robotics Auton. Syst. 170: 104524 (2023) - [c12]Daniele Evangelista, Emilio Olivastri, Davide Allegro, Emanuele Menegatti, Alberto Pretto:
A Graph-Based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups. ICRA 2023: 11474-11480 - [c11]Ivano Donadi, Emilio Olivastri, Daniel Fusaro, Wanmeng Li, Daniele Evangelista, Alberto Pretto:
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition. ICVS 2023: 336-349 - [i4]Daniele Evangelista, Emilio Olivastri, Davide Allegro, Emanuele Menegatti, Alberto Pretto:
A Graph-based Optimization Framework for Hand-Eye Calibration for Multi-Camera Setups. CoRR abs/2303.04747 (2023) - [i3]Ivano Donadi, Emilio Olivastri, Daniel Fusaro, Wanmeng Li, Daniele Evangelista, Alberto Pretto:
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition. CoRR abs/2308.01058 (2023) - 2022
- [c10]Daniele Evangelista, Davide Allegro, Matteo Terreran, Alberto Pretto, Stefano Ghidoni:
An Unified Iterative Hand-Eye Calibration Method for Eye-on-Base and Eye-in-Hand Setups. ETFA 2022: 1-7 - [c9]Leonardo Barcellona, Matteo Terreran, Daniele Evangelista, Stefano Ghidoni:
Clustering-Based Refinement for 3D Human Body Parts Segmentation. IAS 2022: 425-440 - [c8]Daniel Fusaro, Emilio Olivastri, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Pushing the Limits of Learning-Based Traversability Analysis for Autonomous Driving on CPU. IAS 2022: 529-545 - [c7]Daniel Fusaro, Emilio Olivastri, Daniele Evangelista, Pietro Iob, Alberto Pretto:
An Hybrid Approach to Improve the Performance of Encoder-Decoder Architectures for Traversability Analysis in Urban Environments. IV 2022: 1745-1750 - [i2]Daniel Fusaro, Emilio Olivastri, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU. CoRR abs/2206.03083 (2022) - 2021
- [c6]Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Jacopo Lazzaro, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. IAS 2021: 696-712 - [c5]Matteo Terreran, Leonardo Barcellona, Daniele Evangelista, Stefano Ghidoni:
Multi-view Human Parsing for Human-Robot Collaboration. ICAR 2021: 905-912 - [c4]Matteo Terreran, Daniele Evangelista, Jacopo Lazzaro, Alberto Pretto:
Make It Easier: An Empirical Simplification of a Deep 3D Segmentation Network for Human Body Parts. ICVS 2021: 144-156 - [i1]Alessandro Saviolo, Matteo Bonotto, Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks. CoRR abs/2102.01460 (2021) - 2020
- [c3]Daniele Evangelista, Matteo Terreran, Alberto Pretto, Michele Moro, Carlo Ferrari, Emanuele Menegatti:
3D Mapping of X-Ray Images in Inspections of Aerospace Parts. ETFA 2020: 1223-1226 - [c2]Daniele Evangelista, Marco Antonelli, Alberto Pretto, Christian Eitzinger, Michele Moro, Carlo Ferrari, Emanuele Menegatti:
SPIRIT - A Software Framework for the Efficient Setup of Industrial Inspection Robots. MetroInd4.0&IoT 2020: 622-626
2010 – 2019
- 2019
- [c1]Daniele Evangelista, Marco Imperoli, Emanuele Menegatti, Alberto Pretto:
FlexSight - A Flexible and Accurate System for Object Detection and Localization for Industrial Robots. MetroInd4.0&IoT 2019: 58-63
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