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Jin-Ze Yu

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Open access Sep 2026

SurgDepth: Test-Time Adaptation of Depth Foundation Models for Surgical Scene Understanding.

Through the first systematic study of TTA for dense depth regression (eight baselines), it is shown that existing TTA methods consistently fail in this setting: entropy-based methods degrade regardless of the number of adapted parameters, and temporal-photometric adaptation diverges on non-rigid tissue.

Sheng-Yao Wang, Jun-Pei Xue, Xin Zhong et al. · 1 citation
Conference Aug 2026

LLM-Driven Low-Code Task Orchestration for Agile Flexible Manufacturing in Mass Customization

Mass customization demands manufacturing systems that can rapidly reconfigure production workflows for diverse product variants. Traditional robot task programming requires specialized engineers and hours of manual coding, which slows agile changeover. We present a low-code task orchestration platform that uses large l...

Yanping Deng, Jinze Yu · 0 citations
Open access 2026

Cross-Modal Temporal Alignment for Action Grounding in Videos

A cross-modal temporal alignment framework that combines a multi-scale temporal convolutional encoder with capsule-based dynamic routing, jointly optimizing temporal boundary prediction, cross-modal semantic alignment, and capsule diversity is proposed.

Gengtian Shi, Chen-Hao Wu, Shao-Fei Wang et al. · 0 citations

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