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Haoliang Zhao

2 accepted papers

2025

RetinaStereo: Dynamic-Volume Stereo Matching Network

ICASSP 2025accepted

Existing stereo matching techniques often struggle with detailing subtle objects on depth edges. To alleviate this problem, we introduced the Dynamic-Range Disparity Initialization module, which integrates three complementary branches: the dynamic dense volume for localized disparity sampling, the s…

Cited by 0SourceScholar
2023

High-Frequency Stereo Matching Network

CVPR 2023highlight

In the field of binocular stereo matching, remarkable progress has been made by iterative methods like RAFT-Stereo and CREStereo. However, most of these methods lose information during the iterative process, making it difficult to generate more detailed difference maps that take full advantage of hi…

Cited by 86SourcePDFScholar