International Conferences
2022
Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet, and Nesrine Chehata: Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans. CVPR Conference 2022, EarthVision Workshop, New Orleans, USA [PDF][Code&Dataset]
2021
Ekaterina Kalinicheva, Loic Landrieu, Clément Mallet, and Nesrine Chehata: Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds. In Proceedings of the SilviLaser Conference 2021, Vienna, Austria. [PDF][Code][Dataset]
2020
Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant and Michel Pâques: Unsupervised Change Detection using Joint Autoencoders for Age-Related Macular Degeneration Progression. ICANN (1) 2020: 813-824. [PDF][Code]
2019
Ekaterina Kalinicheva, Jérémie Sublime, and Maria Trocan: Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. ICANN (2) 2019: 637-648. [PDF][Code]
Ekaterina Kalinicheva , Jérémie Sublime, and Maria Trocan: Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction. In: IEEE International Conference on Image Processing Theory, Tools and Applications IPTA 2019, Istanbul, Turkey. [PDF]
International Journals
2022
2020
Guillaume Dupont, Ekaterina Kalinicheva, Jérémie Sublime, Florence Rossant and Michel Pâques: Analyzing Age-Related Macular Degeneration Progression in Patients with Geographic Atrophy Using Joint Autoencoders for Unsupervised Change Detection. In: J. Imaging 6(7): 57, 2020. [PDF][Code]
Ekaterina Kalinicheva, Jérémie Sublime and Maria Trocan: Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder. Remote Sensing Remote Sensing 12(11): 1816, 2020. [PDF][Code]
Ekaterina Kalinicheva, Dino Ienco, Jérémie Sublime and Maria Trocan: Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches. In IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1450-1466 , 2020. [PDF][Code]
2019
Jérémie Sublime and Ekaterina Kalinicheva: Automatic post-disaster damage mapping using Deep Learning Techniques for change detection : Case study of the Tohoku tsunami. Remote Sensing 11(9): 1123 (2019). [PDF][Code]