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Preprint Sep 2026

When Do Learned Priors Help Visual Inertial Estimation? A Controlled Study of Prior Integration, Calibration, Initialization, and Backend Consistency

Learned components are increasingly integrated into geometric visual--inertial estimators to provide motion, depth, bias, uncertainty, or confidence cues. Yet it remains unclear whether gains arise from useful learned priors or from changes in the backend, calibration, initialization, temporal association, or evaluatio...

Jin-Chang Zhang, Guo-Yu Lu · 0 citations
Sep 2026

Semantic Privacy Protection with Utility Preservation for 3D Point Clouds

Experiments on classification and segmentation benchmarks show that the proposed method achieves controllable semantic transformation, effectively reduces original-class semantic leakage, preserves downstream learnability in the protected domain, and supports reliable authorized reconstruction.

Jin-Chang Zhang, Jia-Kai Lin, David J. Crandall et al. · 0 citations

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