3 citations · 5 across the 21 of their papers we have counts for
7 papers · 1 filter
FM-ReID: Selective Competitive Token Routing for Object Re-Identification
Zhiqi Li, Xiaowei Zhou, Zeyuan Sun +2
Object re-identification (ReID) faces a recurring challenge: different identities can share highly similar global appearances, while the cues that distinguish them are localized, h…
Frequency and Edge-Guided Segment Anything Model for Remote Sensing Image Semantic Segmentation
Feng Gao, Zizhe Pan, Haoting Wang +4
Remote sensing image semantic segmentation (RSISS) has attracted significant attention due to the growing demand for fine-grained land cover information. The Segment Anything Model…
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…
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…
Downstream Task Inspired Underwater Image Enhancement: A Perception-Aware Study from Dataset Construction to Network Design
Bosen Lin, Feng Gao, Yanwei Yu +2
In real underwater environments, downstream image recognition tasks such as semantic segmentation and object detection often face challenges posed by problems like blurring and col…
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.…
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.…