activity
20242026
most cited3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

math.CO2026

Sharp bounds and extremal structure of minimally strongly -connected digraphs

Junran Yu, Gregory Gutin, Hong-Jian Lai +1

Let be a finite simple minimally strongly -connected digraph, where , and let . Mader proved in 1985 that for all sufficiently large $n…

cs.CV2026

DECO: Depth-Guided Co-Visibility Reasoning for Low-Altitude UAV Visual Localization

Yibin Ye, Xichao Teng, Shuo Chen +4

Unmanned aerial vehicles (UAVs) increasingly require robust visual localization in GNSS-denied environments. A common solution estimates UAV poses by matching keypoints between UAV…

cs.CV2026

Scale-Aware UAV-to-Satellite Cross-View Geo-Localization: A Semantic Geometric Approach

Yibin Ye, Shuo Chen, Kun Wang +5

Cross-View Geo-Localization (CVGL) between UAV imagery and satellite images plays a crucial role in target localization and UAV self-positioning. However, most existing methods rel…

cs.CV2025

Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark

Yibin Ye, Xichao Teng, Shuo Chen +4

Absolute Visual Localization (AVL) enables an Unmanned Aerial Vehicle (UAV) to determine its position in GNSS-denied environments by establishing geometric relationships between UA…

cs.CV2024★ 4 cited

3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matching

Yibin Ye, Xichao Teng, Shuo Chen +3

Optical-SAR image matching is a fundamental task for image fusion and visual navigation. However, all large-scale open SAR dataset for methods development are collected from single…