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ORCIDNassim Ait Ali Braham
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Journal Articles
- 2024
[j3]Nassim Ait Ali Braham
, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiaoxiang Zhu:
Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8509-8526 (2024)- 2023
- [j2]Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal:
Privacy-preserving remote deep-learning-based inference under constrained client-side environment. J. Ambient Intell. Humaniz. Comput. 14(1): 553-566 (2023) - [j1]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:
Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6931-6947 (2023)
Conference and Workshop Papers
- 2023
- [c5]Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu:
Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View AssignmentCRediT. IGARSS 2023: 6085-6088 - [c4]Shahriar Kabir, Nassim Ait Ali Braham:
SSL for Large-Scale Mining Site Segmentation. IGARSS 2023: 6909-6911 - [c3]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS 2023 - 2022
- [c2]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS 2022: 267-270 - 2021
- [c1]Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal:
PReDIHERO - Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring. AICCSA 2021: 1-8
Informal and Other Publications
- 2024
- [i7]Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiaoxiang Zhu:
SpectralEarth: Training Hyperspectral Foundation Models at Scale. CoRR abs/2408.08447 (2024) - 2023
- [i6]Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee:
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR abs/2306.09424 (2023) - [i5]Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu:
Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment. CoRR abs/2306.10955 (2023) - [i4]Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu:
DeCUR: decoupling common & unique representations for multimodal self-supervision. CoRR abs/2309.05300 (2023) - 2022
- [i3]Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu:
Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR abs/2206.12117 (2022) - [i2]Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu:
Self-supervised Learning in Remote Sensing: A Review. CoRR abs/2206.13188 (2022) - [i1]Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu:
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. CoRR abs/2211.07044 (2022)
Coauthor Index
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