Nassim Ait Ali Braham

According to our database, Nassim Ait Ali Braham authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification.

Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiaoxiang Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SpectralEarth: Training Hyperspectral Foundation Models at Scale.

Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiaoxiang Zhu

CoRR, 2024

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data.

Ridvan Salih Kuzu, Leonardo Bagaglini, Yi Wang, Corneliu Octavian Dumitru, Nassim Ait Ali Braham, Giorgio Pasquali, Filippo Santarelli, Francesco Trillo, Sudipan Saha, Xiao Xiang Zhu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Privacy-preserving remote deep-learning-based inference under constrained client-side environment.

Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal

J. Ambient Intell. Humaniz. Comput., 2023

DeCUR: decoupling common & unique representations for multimodal self-supervision.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu

CoRR, 2023

Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment.

Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu

CoRR, 2023

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery.

Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment^CRediT.

Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

SSL for Large-Scale Mining Site Segmentation.

Shahriar Kabir, Nassim Ait Ali Braham

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation.

Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu

CoRR, 2022

Self-supervised Learning in Remote Sensing: A Review.

Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu

CoRR, 2022

Self Supervised Learning for Few Shot Hyperspectral Image Classification.

Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

PReDIHERO - Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring.

Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal

Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021