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Oct 2026

UMVS: Unsupervised Multi-View Stereo for Large-Scale Scenes With Heavy Occlusions

Deep learning-based multi-view stereo (MVS) techniques have advanced substantially in recent years. However, because large-scale, annotated datasets are limited, interest has grown in unsupervised MVS methods that do not require ground-truth depth. One primary challenge for these unsupervised approaches is handling occ...

Ming-Wei Cao, Qiu-Ju Wang, Ning-Chi Li et al. · 0 citations
Review Aug 2026

Rating-oriented interest graph disentanglement for review-based recommendation

User rating prediction is a fundamental task in recommendation systems, whose performance critically depends on accurate modeling of fine-grained user preferences. Existing rating-aware methods, however, face two main limitations: they fail to adequately capture the interaction-dependent relationship between user ratin...

Hui-Yi Zhang, Shuai-Yang Li, Sheng Sang et al. · 0 citations

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