3 papers
cs.CV2025
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather
Yuran Wang, Yingping Liang, Yutao Hu +1
Learning-based stereo matching models struggle in adverse weather conditions due to the scarcity of corresponding training data and the challenges in extracting discriminative feat…
cs.CV2025
Boosting Zero-shot Stereo Matching using Large-scale Mixed Images Sources in the Real World
Yuran Wang, Yingping Liang, Ying Fu
Stereo matching methods rely on dense pixel-wise ground truth labels, which are laborious to obtain, especially for real-world datasets. The scarcity of labeled data and domain gap…
cs.CV2024
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching
Yuran Wang, Yingping Liang, Hesong Li +1
The generalization and performance of stereo matching networks are limited due to the domain gap of the existing synthetic datasets and the sparseness of GT labels in the real data…