Mohamed Chelali

According to our database, Mohamed Chelali authored at least 9 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Prise en compte de l'information spatiale et temporelle pour l'analyse de séquences d'images. (Image time series analysis involving spatial and temporal information).

Mohamed Chelali

PhD thesis, 2021

Influence of Data Representations and Deep Architectures in Image Time Series Classification.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Int. J. Pattern Recognit. Artif. Intell., 2021

Deep-STaR: Classification of image time series based on spatio-temporal representations.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Comput. Vis. Image Underst., 2021

Violence Detection from Video under 2D Spatio-Temporal Representations.

Mohamed Chelali, Camille Kurtz, Nicole Vincent

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Image Time Series Classification based on a Planar Spatio-temporal Data Representation.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Spatio-Temporal Stability Analysis in Satellite Image Times Series.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

From Pixels to Random Walk Based Segments for Image Time Series Deep Classification.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Classification of spatially enriched pixel time series with convolutional neural networks.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Urban land cover analysis from satellite image time series based on temporal stability.

Mohamed Chelali, Camille Kurtz, Anne Puissant, Nicole Vincent

Proceedings of the Joint Urban Remote Sensing Event, 2019