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20242026
most citedFully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing

1 citations · 2 across the 5 of their papers we have counts for

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cs.CV2026

SwiftGS: Episodic Priors for Immediate Satellite Surface Recovery

Rong Fu, Jiekai Wu, Xiaowen Ma +4

Rapid, large-scale 3D reconstruction from multi-date satellite imagery is vital for environmental monitoring, urban planning, and disaster response, yet remains difficult due to il…

cs.CV2025

Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching

Chuang-Wei Liu, Mingjian Sun, Cairong Zhao +3

Unsupervised stereo matching has garnered significant attention for its independence from costly disparity annotations. Typical unsupervised methods rely on the multi-view consiste…

cs.CV2025

Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms

Nachuan Ma, Zhengfei Song, Qiang Hu +5

In the emerging field of urban digital twins (UDTs), advancing intelligent road inspection (IRI) vehicles with automatic road crack detection systems is essential for maintaining c…

cs.CV2025★ 1 cited

Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing

Sicen Guo, Tianyou Wen, Chuang-Wei Liu +2

Recent vision foundation models (VFMs), typically based on Vision Transformer (ViT), have significantly advanced numerous computer vision tasks. Despite their success in tasks focu…

cs.CV2024★ 1 cited

Establishing Reality-Virtuality Interconnections in Urban Digital Twins for Superior Intelligent Road Inspection and Simulation

Yikang Zhang, Chuang-Wei Liu, Jiahang Li +3

Road inspection is crucial for maintaining road serviceability and ensuring traffic safety, as road defects gradually develop and compromise functionality. Traditional inspection m…