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Stefano D'Aronco
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2020 – today
- 2024
- [c12]Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler:
Recognition of Unseen Bird Species by Learning from Field Guides. WACV 2024: 1731-1740 - 2023
- [j10]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14575-14589 (2023) - 2022
- [j9]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-Layer RNNs That can be Trained. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4081-4092 (2022) - [j8]Pia Ruttner, Roland Hohensinn, Stefano D'Aronco, Jan Dirk Wegner, Benedikt Soja:
Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. Remote. Sens. 14(1): 17 (2022) - [j7]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification Under Varying Cloud Cover With Neural Ordinary Differential Equations. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [c11]Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler:
Learning Graph Regularisation for Guided Super-Resolution. CVPR 2022: 1969-1978 - [c10]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan D. Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. NeurIPS 2022 - [i18]Stefano D'Aronco, Giorgio Trumpy, David Pfluger, Jan Dirk Wegner:
A Deep Learning Approach for Digital ColorReconstruction of Lenticular Films. CoRR abs/2202.05270 (2022) - [i17]Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler:
Learning Graph Regularisation for Guided Super-Resolution. CoRR abs/2203.14297 (2022) - [i16]Mehmet Ozgur Turkoglu, Alexander Becker, Hüseyin Anil Gündüz, Mina Rezaei, Bernd Bischl, Rodrigo Caye Daudt, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation. CoRR abs/2206.00050 (2022) - [i15]Andrés C. Rodríguez, Stefano D'Aronco, Rodrigo Caye Daudt, Jan D. Wegner, Konrad Schindler:
Zero-Shot Bird Species Recognition by Learning from Field Guides. CoRR abs/2206.01466 (2022) - 2021
- [j6]Nicholus Mboga, Stefano D'Aronco, Taïs Grippa, Charlotte Pelletier, Stefanos Georganos, Sabine Vanhuysse, Eléonore Wolff, Benoît Smets, Olivier Dewitte, Moritz Lennert, Jan Dirk Wegner:
Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa. ISPRS Int. J. Geo Inf. 10(8): 523 (2021) - [j5]Andrés C. Rodríguez, Rodrigo Caye Daudt, Stefano D'Aronco, Konrad Schindler, Jan D. Wegner:
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery. Remote. Sens. 13(21): 4302 (2021) - [c9]Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds. ICLR 2021 - [i14]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Gregor Perich, Frank Liebisch, Constantin Streit, Konrad Schindler, Jan Dirk Wegner:
Crop mapping from image time series: deep learning with multi-scale label hierarchies. CoRR abs/2102.08820 (2021) - [i13]Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds. CoRR abs/2103.02766 (2021) - [i12]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan D. Wegner:
Mapping oil palm density at country scale: An active learning approach. CoRR abs/2105.11207 (2021) - [i11]Riccardo de Lutio, Yihang She, Stefano D'Aronco, Stefania Russo, Philipp Brun, Jan D. Wegner, Konrad Schindler:
Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs. CoRR abs/2106.03774 (2021) - 2020
- [c8]Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner:
GeoGraph: Graph-Based Multi-view Object Detection with Geometric Cues End-to-End. ECCV (7) 2020: 488-504 - [c7]Luca Miotti, Endrit Shehaj, Alain Geiger, Stefano D'Aronco, Jan D. Wegner, Gregor Moeller, Markus Rothacher:
Tropospheric delays derived from ground meteorological parameters: comparison between machine learning and empirical model approaches. ENC 2020: 1-10 - [c6]Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. MACLEAN@PKDD/ECML 2020 - [i10]Andrés C. Rodríguez, Stefano D'Aronco, Konrad Schindler, Jan Dirk Wegner:
Privileged Pooling: Supervised attention-based pooling for compensating dataset bias. CoRR abs/2003.09168 (2020) - [i9]Ahmed Samy Nassar, Stefano D'Aronco, Sébastien Lefèvre, Jan D. Wegner:
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end. CoRR abs/2003.10151 (2020) - [i8]P. Chaudhary, Stefano D'Aronco, João Paulo Leitão, Konrad Schindler, Jan Dirk Wegner:
Water level prediction from social media images with a multi-task ranking approach. CoRR abs/2007.06749 (2020) - [i7]Vít Ruzicka, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Deep Active Learning in Remote Sensing for data efficient Change Detection. CoRR abs/2008.11201 (2020) - [i6]Nando Metzger, Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations. CoRR abs/2012.02542 (2020)
2010 – 2019
- 2019
- [j4]Stefano D'Aronco, Pascal Frossard:
Online Resource Inference in Network Utility Maximization Problems. IEEE Trans. Netw. Sci. Eng. 6(3): 432-444 (2019) - [c5]Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution As Pixel-to-Pixel Transformation. ICCV 2019: 8828-8836 - [i5]Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation. CoRR abs/1904.01501 (2019) - [i4]Mehmet Ozgur Turkoglu, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler:
Gating Revisited: Deep Multi-layer RNNs That Can Be Trained. CoRR abs/1911.11033 (2019) - 2018
- [c4]Stefano D'Aronco, Pascal Frossard:
A Bayesian Bandit Approach to Adaptive Delay-based Congestion Control. PV@MMSys 2018: 13-18 - 2017
- [j3]Stefano D'Aronco, Laura Toni, Pascal Frossard:
Price-Based Controller for Utility-Aware HTTP Adaptive Streaming. IEEE Multim. 24(2): 20-29 (2017) - [j2]Stefano D'Aronco, Sergio Mena, Pascal Frossard:
Distributed Rate Allocation in Switch-Based Multiparty Videoconferencing System. ACM Trans. Multim. Comput. Commun. Appl. 13(3s): 41:1-41:23 (2017) - [j1]Stefano D'Aronco, Laura Toni, Sergio Mena, Xiaoqing Zhu, Pascal Frossard:
Improved Utility-Based Congestion Control for Delay-Constrained Communication. IEEE/ACM Trans. Netw. 25(1): 349-362 (2017) - [i3]Stefano D'Aronco, Laura Toni, Pascal Frossard:
Price-based Controller for Quality-Fair HTTP Adaptive Streaming (Extended Version). CoRR abs/1701.01392 (2017) - [i2]Stefano D'Aronco, Pascal Frossard:
Online Resource Inference in Network Utility Maximization Problems. CoRR abs/1711.07530 (2017) - 2016
- [c3]Stefano D'Aronco, Laura Toni, Pascal Frossard:
Price-Based Controller for Quality-Fair HTTP Adaptive Streaming. ISM 2016: 113-118 - [c2]Federico Chiariotti, Stefano D'Aronco, Laura Toni, Pascal Frossard:
Online learning adaptation strategy for DASH clients. MMSys 2016: 8:1-8:12 - [c1]Stefano D'Aronco, Sergio Mena, Pascal Frossard:
Distributed rate allocation in switch-based multiparty videoconference. MMSys 2016: 11:1-11:11 - 2015
- [i1]Stefano D'Aronco, Laura Toni, Sergio Mena, Xiaoqing Zhu, Pascal Frossard:
Improved Utility-based Congestion Control for Low-Delay Communication. CoRR abs/1506.02799 (2015)
Coauthor Index
aka: Jan D. Wegner
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last updated on 2024-04-24 22:58 CEST by the dblp team
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