Nassim Ait Ali Braham

26 papers A* 1C 4Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Image Segmentation. CoRR Keiller Nogueira, Codrut-Andrei Diaconu, Dávid Kerekes, Jakob Gawlikowski, Cédric Léonard, Nassim Ait Ali Braham, June Moh Goo, Zichao Zeng, Zhipeng Liu, Pallavi Jain, Andrea Nascetti, Ronny Hänsch
2025	J	`jnl`	HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation. CoRR Aaron Banze, Timothée Stassin, Nassim Ait Ali Braham, Ridvan Salih Kuzu, Simon Besnard, Michael Schmitt
2025	J	`jnl`	HyBiomass: Global Hyperspectral Imagery Benchmark Dataset for Evaluating Geospatial Foundation Models in Forest Aboveground Biomass Estimation. IEEE Geosci. Remote. Sens. Lett. Aaron Banze, Timothée Stassin, Nassim Ait Ali Braham, Ridvan Salih Kuzu, Simon Besnard, Michael Schmitt
2025	J	`jnl`	Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. CoRR Ruben Gonzalez Avilés, Linus Scheibenreif, Nassim Ait Ali Braham, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini B. Guruprasad, Damian Borth, Conrad M. Albrecht, Paolo Fraccaro, Devyani Lambhate, Johannes Jakubik
2025	J	`jnl`	Multispectral to Hyperspectral using Pretrained Foundational model. CoRR Ruben Gonzalez, Conrad M. Albrecht, Nassim Ait Ali Braham, Devyani Lambhate, João Lucas de Sousa Almeida, Paolo Fraccaro, Benedikt Blumenstiel, Thomas Brunschwiler, Ranjini Bangalore
2025	J	`jnl`	Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning. CoRR Colin Prieur, Nassim Ait Ali Braham, Paul Tresson, Grégoire Vincent, Jocelyn Chanussot
2025	J	`jnl`	SSL4EO-S12 v1.1: A Multimodal, Multiseasonal Dataset for Pretraining, Updated. CoRR Benedikt Blumenstiel, Nassim Ait Ali Braham, Conrad M. Albrecht, Stefano Maurogiovanni, Paolo Fraccaro
2025	J	`jnl`	SpectralEarth: Training Hyperspectral Foundation Models at Scale. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2025	J	`jnl`	Weak-Strong Graph Contrastive Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Sirui Wang, Nassim Ait Ali Braham, Xiao Xiang Zhu
2024	—	`conf`	Decoupling Common and Unique Representations for Multimodal Self-supervised Learning. ECCV (29) Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2024	J	`jnl`	Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Nassim Ait Ali Braham, Julien Mairal, Jocelyn Chanussot, Lichao Mou, Xiao Xiang Zhu
2024	—	`conf`	Prospects for Mitigating Spectral Variability in Tropical Species Classification Using Self-Supervised Learning. WHISPERS Colin Prieur, Nassim Ait Ali Braham, Paul Tresson, Grégoire Vincent, Jocelyn Chanussot
2024	J	`jnl`	SpectralEarth: Training Hyperspectral Foundation Models at Scale. CoRR Nassim Ait Ali Braham, Conrad M. Albrecht, Julien Mairal, Jocelyn Chanussot, Yi Wang, Xiao Xiang Zhu
2023	J	`jnl`	Automatic Detection of Building Displacements Through Unsupervised Learning From InSAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 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
2023	J	`jnl`	DeCUR: decoupling common & unique representations for multimodal self-supervision. CoRR Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
2023	J	`jnl`	Privacy-preserving remote deep-learning-based inference under constrained client-side environment. J. Ambient Intell. Humaniz. Comput. Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal
2023	C	`conf`	SSL for Large-Scale Mining Site Segmentation. IGARSS Shahriar Kabir, Nassim Ait Ali Braham
2023	A*	`conf`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. NeurIPS Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
2023	J	`jnl`	SSL4EO-L: Datasets and Foundation Models for Landsat Imagery. CoRR Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
2023	C	`conf`	Semi-Supervised Learning for Hyperspectral Images by Non Parametrically Predicting View Assignment IGARSS Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
2023	J	`jnl`	Semi-Supervised Learning for hyperspectral images by non parametrically predicting view assignment. CoRR Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M. Albrecht, Biplab Banerjee, Xiao Xiang Zhu
2022	J	`jnl`	SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation. CoRR Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M. Albrecht, Xiao Xiang Zhu
2022	C	`conf`	Self Supervised Learning for Few Shot Hyperspectral Image Classification. IGARSS Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
2022	J	`jnl`	Self Supervised Learning for Few Shot Hyperspectral Image Classification. CoRR Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu
2022	J	`jnl`	Self-supervised Learning in Remote Sensing: A Review. CoRR Yi Wang, Conrad M. Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
2021	C	`conf`	PReDIHERO - Privacy-Preserving Remote Deep Learning Inference based on Homomorphic Encryption and Reversible Obfuscation for Enhanced Client-side Overhead in Pervasive Health Monitoring. AICCSA Amine Boulemtafes, Abdelouahid Derhab, Nassim Ait Ali Braham, Yacine Challal