activity
20152026
most citedDeep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

8 citations · 16 across the 12 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

Robust structure from motion for aerial-ground images via detector-free feature matching and multi-view track refinement

San Jiang, Hui Wang, Xing Zhang +5

Integrated 3D reconstruction from aerial-ground images is essential for generating high-precision urban 3D models, yet severe variations in viewpoint, scale, and rotation make robu…

cs.CV2025

Aerial-Ground Image Feature Matching via 3D Gaussian Splatting-based Intermediate View Rendering

Jiangxue Yu, Hui Wang, San Jiang +3

The integration of aerial and ground images has been a promising solution in 3D modeling of complex scenes, which is seriously restricted by finding reliable correspondences. The p…

cs.CV2025

Adaptive Dual-Constrained Line Aggregation for Cross-Paradigm Line Segment Detection

Chenguang Liu, Chisheng Wang, Huilin Chen +2

Line segment detection has been studied for decades, yet existing methods are typically designed for different detection paradigms. Generic line segment detectors aim to recover al…

cs.CV2025

UAVPairs: A Challenging Benchmark for Match Pair Retrieval of Large-scale UAV Images

Junhuan Liu, San Jiang, Wei Ge +3

The primary contribution of this paper is a challenging benchmark dataset, UAVPairs, and a training pipeline designed for match pair retrieval of large-scale UAV images. First, the…

cs.CV2025

Efficient feature matching for UAV images based on compact GPU data scheduling

San Jiang, Kan You, Ruqin Zhou +3

Feature matching dominates the time costs in structure from motion (SfM). The primary contribution of this study is a GPU data schedule algorithm for efficient feature matching of…

cs.CV2025★ 4 cited

RFWNet: A Lightweight Remote Sensing Object Detector Integrating Multiscale Receptive Fields and Foreground Focus Mechanism

Yujie Lei, Wenjie Sun, Sen Jia +2

Challenges in remote sensing object detection(RSOD), such as high interclass similarity, imbalanced foreground-background distribution, and the small size of objects in remote sens…