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20142026
most citedPHI-MVS: Plane Hypothesis Inference Multi-view Stereo for Large-Scale Scene Reconstruction

5 citations · 17 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Rethinking Monocular Depth Embedding for Generalized Stereo Matching

Libo Lin, Shuangli Du, Minghua Zhao +3

Generally, monocular methods capture rich contextual priors but lack geometric precision, whereas stereo methods are geometrically accurate yet struggle in textureless and occluded…

cs.CV2025

Prototype-Based Pseudo-Label Denoising for Source-Free Domain Adaptation in Remote Sensing Semantic Segmentation

Bin Wang, Fei Deng, Zeyu Chen +2

Source-Free Domain Adaptation (SFDA) enables domain adaptation for semantic segmentation of Remote Sensing Images (RSIs) using only a well-trained source model and unlabeled target…

cs.CV2024★ 2 cited

Low-light Stereo Image Enhancement and De-noising in the Low-frequency Information Enhanced Image Space

Minghua Zhao, Xiangdong Qin, Shuangli Du +3

Unlike single image task, stereo image enhancement can use another view information, and its key stage is how to perform cross-view feature interaction to extract useful informatio…

cs.CV2021★ 5 cited

PHI-MVS: Plane Hypothesis Inference Multi-view Stereo for Large-Scale Scene Reconstruction

Shang Sun, Yunan Zheng, Xuelei Shi +2

PatchMatch based Multi-view Stereo (MVS) algorithms have achieved great success in large-scale scene reconstruction tasks. However, reconstruction of texture-less planes often fail…

cs.CV2020★ 2 cited

Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation

Lihua Zhou, Mao Ye, Xinpeng Li +3

Recent works in domain adaptation always learn domain invariant features to mitigate the gap between the source and target domains by adversarial methods. The category information…

cs.CV2015★ 2 cited

Study on Sparse Representation based Classification for Biometric Verification

Zengxi Huang, Yiguang Liu, Xiaoming Wang +1

In this paper, we propose a multimodal verification system integrating face and ear based on sparse representation based classification (SRC). The face and ear query samples are fi…