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ORCIDEkaterina Kalinicheva
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2020 – today
- 2022
[j5]Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. Int. J. Appl. Earth Obs. Geoinformation 112: 102863 (2022)- [c5]Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CVPR Workshops 2022: 1341-1350 - [i3]Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning. CoRR abs/2201.08051 (2022) - [i2]Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CoRR abs/2204.11620 (2022) - 2021
- [i1]Ekaterina Kalinicheva, Loïc Landrieu, Clément Mallet, Nesrine Chehata:
Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. CoRR abs/2112.13583 (2021) - 2020
- [b1]Ekaterina Kalinicheva:
Unsupervised Satellite Image Time Series Analysis using Deep Learning Techniques. (Analyse Non-supervisée de Séries d'Images Satellites avec des Méthodes d'Apprentissage Profond). Sorbonne University, France, 2020 - [j4]Guillaume Dupont, Ekaterina Kalinicheva
, Jérémie Sublime, Florence Rossant, Michel Pâques:
Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. J. Imaging 6(7): 57 (2020) - [j3]Ekaterina Kalinicheva, Jérémie Sublime, Maria Trocan:
Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder. Remote. Sens. 12(11): 1816 (2020) - [j2]Ekaterina Kalinicheva, Dino Ienco, Jérémie Sublime, Maria Trocan:
Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1450-1466 (2020) - [c4]Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant, Michel Pâques:
Unsupervised Change Detection Using Joint Autoencoders for Age-Related Macular Degeneration Progression. ICANN (2) 2020: 813-824
2010 – 2019
- 2019
- [j1]Jérémie Sublime, Ekaterina Kalinicheva:
Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami. Remote. Sens. 11(9): 1123 (2019) - [c3]Ekaterina Kalinicheva, Jérémie Sublime, Maria Trocan:
Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. ICANN (3) 2019: 637-648 - [c2]Ekaterina Kalinicheva, Jérémie Sublime, Maria Trocan:
Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction. IPTA 2019: 1-6 - 2018
- [c1]Ekaterina Kalinicheva, Jérémie Sublime, Maria Trocan:
Neural Network Autoencoder for Change Detection in Satellite Image Time Series. ICECS 2018: 641-642
Coauthor Index
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