collaborators

10 papers

cs.CV2026

SPEANet: Structural Prior Enhanced Attention Network for Parameter-Efficient Remote Sensing Object Detection

Wei Lu, Junjie Li, Feifei Sang +1

Remote sensing object detection (RSOD) requires compact backbones capable of preserving weak geometric cues under extreme scale variation and background clutter. Fixed structural o…

cs.CV2026

AeroLLE: Constrained Pseudo-Supervision for Nighttime Aerial Image Enhancement with the AeroNight-1.5K Benchmark

Wei Lu, Hongyuan Liu, Si-Bao Chen

Nighttime aerial image enhancement is challenged by spatially nonuniform exposure, mixed illumination, and weak structural evidence, while registered normal-light targets are diffi…

cs.CV2026

ASFR-Net: Adversarial Alignment and Spatio-Frequency Refinement Network for Heterogeneous Remote Sensing Image Change Detection

Xin-Jie Wu, Zhi-Hui You, Si-Bao Chen +4

The core challenge of heterogeneous change detection in remote sensing imagery lies in effectively decoupling genuine land-cover changes from significant modal disparities caused b…

cs.CV2026

SARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks

Zi-Yang Bo, Wei Lu, Hongruixuan Chen +2

Shadows are a prevalent problem in remote sensing imagery (RSI), degrading visual quality and severely limiting the performance of downstream tasks like object detection and semant…

cs.CV2026

AeroDeshadow: Physics-Guided Shadow Synthesis and Penumbra-Aware Deshadowing for Aerospace Imagery

Wei Lu, Zi-Yang Bo, Fei-Fei Sang +3

Shadows are prevalent in high-resolution aerospace imagery (ASI). They often cause spectral distortion and information loss, which degrade downstream interpretation tasks. While de…

cs.CV2026

Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline

Feifei Sang, Wei Lu, Hongruixuan Chen +2

Building extraction from optical Remote Sensing (RS) imagery suffers from performance degradation under real-world hazy and low-light conditions. However, existing optical methods…

cs.CV2026

EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition

Xiao Wang, Xingxing Xiong, Jinfeng Gao +5

Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible-light cameras under…

cs.CV2026

FTDMamba: Frequency-Assisted Temporal Dilation Mamba for Unmanned Aerial Vehicle Video Anomaly Detection

Cheng-Zhuang Liu, Si-Bao Chen, Qing-Ling Shu +3

Recent advances in video anomaly detection (VAD) mainly focus on ground-based surveillance or unmanned aerial vehicle (UAV) videos with static backgrounds, whereas research on UAV…

eess.IV2025

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation

Minglong Li, Lianlei Shan, Weiqiang Wang +3

Recently, there have been significant improvements in the accuracy of CNN models for semantic segmentation. However, these models are often heavy and suffer from low inference spee…

cs.CV2025

Semantic Change Detection of Roads and Bridges: A Fine-grained Dataset and Multimodal Frequency-driven Detector

Qingling Shu, Sibao Chen, Xiao Wang +4

Accurate detection of road and bridge changes is crucial for urban planning and transportation management, yet presents unique challenges for general change detection (CD). Key dif…