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20192026
most citedA GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery

7 citations · 7 across the 7 of their papers we have counts for

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cs.CV2026

SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment

Pengyu Chen, Haotian Sa, Yiwei Hu +2

Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents significant challenges, including extremely low pixel occupancy, cluttered aerial ba…

cs.CV2026

FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotations

Pengyu Chen, Fangzheng Lyu, Sicheng Wang +1

Individual tree crown segmentation is an important task in remote sensing for forest biomass estimation and ecological monitoring. However, accurate delineation in dense, overlappi…

cs.CV2025

Cross-Modal Urban Sensing: Evaluating Sound-Vision Alignment Across Street-Level and Aerial Imagery

Pengyu Chen, Xiao Huang, Teng Fei +1

Environmental soundscapes convey substantial ecological and social information regarding urban environments; however, their potential remains largely untapped in large-scale geogra…

cs.CV2025★ 7 cited

A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery

Pengyu Chen, Sicheng Wang, Cuizhen Wang +4

Precise detection of rooftops from historical aerial imagery is essential for analyzing long-term urban development and human settlement patterns. Nonetheless, black-and-white anal…

cs.CV2025

Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas

Pengyu Chen, Teng Fei, John A. Kupfer +3

Human-bear conflicts on the Tibetan Plateau threaten both local livelihoods and the conservation of Tibetan brown bears (Ursus arctos pruinosus). To address this challenge, we deve…