Stefano D'Aronco

According to our database1, Stefano D'Aronco authored at least 31 papers between 2015 and 2022.

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



In proceedings 
PhD thesis 




Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations.
IEEE Trans. Geosci. Remote. Sens., 2022

Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach.
Remote. Sens., 2022

Gating Revisited: Deep Multi-Layer RNNs That can be Trained.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Zero-Shot Bird Species Recognition by Learning from Field Guides.
CoRR, 2022

A Deep Learning Approach for Digital ColorReconstruction of Lenticular Films.
CoRR, 2022

FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation.
NeurIPS, 2022

Learning Graph Regularisation for Guided Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery.
Remote. Sens., 2021

Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa.
ISPRS Int. J. Geo Inf., 2021

Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs.
CoRR, 2021

Mapping oil palm density at country scale: An active learning approach.
CoRR, 2021

Crop mapping from image time series: deep learning with multi-scale label hierarchies.
CoRR, 2021

PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds.
Proceedings of the 9th International Conference on Learning Representations, 2021

Water level prediction from social media images with a multi-task ranking approach.
CoRR, 2020

GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end.
CoRR, 2020

Privileged Pooling: Supervised attention-based pooling for compensating dataset bias.
CoRR, 2020

Deep Active Learning in Remote Sensing for data efficient Change Detection.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches.
Proceedings of the European Navigation Conference, 2020

GeoGraph: Graph-Based Multi-view Object Detection with Geometric Cues End-to-End.
Proceedings of the Computer Vision - ECCV 2020, 2020

Online Resource Inference in Network Utility Maximization Problems.
IEEE Trans. Netw. Sci. Eng., 2019

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation.
CoRR, 2019

Guided Super-Resolution As Pixel-to-Pixel Transformation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Bayesian Bandit Approach to Adaptive Delay-based Congestion Control.
Proceedings of the 23rd Packet Video Workshop, 2018

Improved Utility-Based Congestion Control for Delay-Constrained Communication.
IEEE/ACM Trans. Netw., 2017

Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System.
ACM Trans. Multim. Comput. Commun. Appl., 2017

Price-Based Controller for Utility-Aware HTTP Adaptive Streaming.
IEEE Multim., 2017

Price-based Controller for Quality-Fair HTTP Adaptive Streaming (Extended Version).
CoRR, 2017

Distributed rate allocation in switch-based multiparty videoconference.
Proceedings of the 7th International Conference on Multimedia Systems, 2016

Online learning adaptation strategy for DASH clients.
Proceedings of the 7th International Conference on Multimedia Systems, 2016

Price-Based Controller for Quality-Fair HTTP Adaptive Streaming.
Proceedings of the IEEE International Symposium on Multimedia, 2016

Improved Utility-based Congestion Control for Low-Delay Communication.
CoRR, 2015