activity
20182026
most citedStructure-Aware Network for Lane Marker Extraction with Dynamic Vision Sensor

17 citations · 36 across the 31 of their papers we have counts for

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35 papers · 1 filter

cs.CV2026

Hierarchical Fine-Grained Aerial Object Detection

Yan Zhang, Fang Xu, Wen Yang +1

Fine-grained aerial object detection, driven by the intrinsic granularity of real-world object categories, is crucial for advanced scene understanding in remote sensing. Existing m…

cs.CV2026

Dual-Exposure Imaging with Events

Mingyuan Lin, Hongyi Liu, Chu He +3

By combining complementary benefits of short- and long-exposure images, Dual-Exposure Imaging (DEI) enhances image quality in low-light scenarios. However, existing DEI approaches…

cs.CV2026

UHR-DETR: Efficient End-to-End Small Object Detection for Ultra-High-Resolution Remote Sensing Imagery

Jingfang Li, Haoran Zhu, Wen Yang +4

Ultra-High-Resolution (UHR) imagery has become essential for modern remote sensing, offering unprecedented spatial coverage. However, detecting small objects in such vast scenes pr…

cs.CV2026

Generalized Small Object Detection:A Point-Prompted Paradigm and Benchmark

Haoran Zhu, Wen Yang, Guangyou Yang +5

Small object detection (SOD) remains challenging due to extremely limited pixels and ambiguous object boundaries. These characteristics lead to challenging annotation, limited avai…

cs.CV2026

Unifying UAV Cross-View Geo-Localization via 3D Geometric Perception

Haoyuan Li, Wen Yang, Fang Xu +4

Cross-view geo-localization for Unmanned Aerial Vehicles (UAVs) operating in GNSS-denied environments remains challenging due to the severe geometric discrepancy between oblique UA…

cs.CV2026

Dr.Occ: Depth- and Region-Guided 3D Occupancy from Surround-View Cameras for Autonomous Driving

Xubo Zhu, Haoyang Zhang, Fei He +4

3D semantic occupancy prediction is crucial for autonomous driving perception, offering comprehensive geometric scene understanding and semantic recognition. However, existing meth…