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20232026
most citedMSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification

1 citations · 2 across the 16 of their papers we have counts for

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cs.CV2026

Axial-Relation Guided Fusion State Space Model for Optical-Elevation Sensing Image Segmentation

Feng Gao, Zhilin Jin, Yanhai Gan +2

Semantic segmentation of multi-source remote sensing images is a fundamental task for Earth observation applications. Existing methods often struggle with insufficient multi-scale…

cs.CV2026

Synthetic Aperture Radar Image Change Detection Based on Global Dynamic Context-Aware Network

Baogui Huan, Chuanzheng Gong, Dezhong Chen +3

Convolutional neural networks (CNNs) have been extensively and successfully applied to the task of synthetic aperture radar (SAR) image change detection. However, conventional conv…

cs.CV2026

Enhancing Underwater Images via Adaptive Semantic-aware Codebook Learning

Bosen Lin, Feng Gao, Yanwei Yu +2

Underwater Image Enhancement (UIE) is an ill-posed problem where natural clean references are not available, and the degradation levels vary significantly across semantic regions.…

cs.CV2025

Aerial Multi-View Stereo via Adaptive Depth Range Inference and Normal Cues

Yimei Liu, Yakun Ju, Yuan Rao +4

Three-dimensional digital urban reconstruction from multi-view aerial images is a critical application where deep multi-view stereo (MVS) methods outperform traditional techniques.…

cs.CV2024

Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting

Tiange Zhang, Qing Cai, Feng Gao +2

Cross-Domain Few-Shot Learning has witnessed great stride with the development of meta-learning. However, most existing methods pay more attention to learning domain-adaptive induc…