2 citations · 2 across the 13 of their papers we have counts for
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FairRSFM: A Biome-Aware Benchmark and Debiasing Framework for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing foundation models (RSFMs) are commonly evaluated using aggregate metrics, which can hide systematic performance disparities across ecological regions. We introduce F…
AlignJEPA: Predictive Vision-Language Alignment for Remote Sensing Foundation Models
Md Aminur Hossain, Omkumar Vaghasiya, Rajeev Ranjan Dwivedi +2
Remote sensing (RS) foundation models provide transferable Earth observation representations across sensors, resolutions, and geographies, yet most remain weakly aligned with natur…
GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-Intelligence
Maram Hasan, Aman Verma, Savitra Roy +5
Remote-sensing vision-language models (RS-VLMs) have advanced Earth-observation analysis toward visual interpretation and instruction-following, yet fall short of operational geo-i…
CR-JEPA: Cross-Modal Joint-Embedding Predictive Learning for Remote Sensing Image Retrieval
Md Aminur Hossain, Ayush V. Patel, Nitant Dube +1
Cross-modal remote sensing image retrieval aims to retrieve semantically related scenes across heterogeneous sensing modalities. This remains challenging because paired observation…
HQ-JEPA: Hybrid Quantum Joint-Embedding Predictive Architecture for Cross-Modal Remote Sensing Representation Learning
Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh +1
We introduce HQ-JEPA, a hybrid quantum-classical joint-embedding predictive architecture for cross-modal remote sensing representation learning. The proposed framework extends JEPA…
ArcGate: Adaptive Arctangent Gated Activation
Avik Bhattacharya, Siddhant Dnyanesh Gole, Subhasis Chaudhuri +2
Activation functions are central to deep networks, influencing non-linearity, feature learning, convergence, and robustness. This paper proposes the Adaptive Arctangent Gated Activ…
Spatial-Frequency Gated Swin Transformer for Cross-Sensor Remote Sensing Super-Resolution
Md Aminur Hossain, Ayush V. Patel, Sanjay K. Singh +2
Remote sensing single-image super-resolution aims to generate high-resolution imagery from low-resolution observations while preserving fine structures such as roads, building boun…
HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Ikshwaku Vanani +1
Semantic segmentation in remote sensing is commonly addressed using classical deep learning architectures such as U-Net, which require a large number of parameters to model complex…
HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
Md Aminur Hossain, Ayush V. Patel, Siddhant Gole +2
Remote sensing semantic segmentation requires models that can jointly capture fine spatial details and high-level semantic context across complex scenes. While classical encoder-de…
GeoMeld: Toward Semantically Grounded Foundation Models for Remote Sensing
Maram Hasan, Md Aminur Hossain, Savitra Roy +6
Effective foundation modeling in remote sensing requires spatially aligned heterogeneous modalities coupled with semantically grounded supervision, yet such resources remain limite…