Author

Mu-Xin Liu

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Preprint Sep 2026

LiFR v2: Completion-Augmented Event Propagation for High-Rate Dense Prediction

High-rate dense perception in dynamic environments is limited by the low update rate of RGB cameras, as rapid scene changes can occur between frames. Event cameras offer temporally dense but spatially sparse measurements, complementary to spatially dense RGB observations. Direct fusion cannot fully exploit this complem...

Tao Wan, Xiao-Shan Wu, Yi-Fei Yu et al. · 0 citations

Preprint Aug 2026

OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes

OptiGeo is introduced, a bias-aware training framework that rehabilitates biased real supervision using a clean-geometry teacher and residual-trimmed alignment and outperforms substantially larger 300M-scale monocular models and billion-scale multi-view baselines on transparent-scene benchmarks, while remaining competi...

Mu-Xin Liu, Tian-Bo Liu, Jing Xia et al. · 1 citation

Review Sep 2026

Monocular Depth Estimation from a Single Image: Progress and Opportunities

Monocular depth estimation has long stood as a fundamental challenge in computer vision, enabling a wide range of applications including 3D reconstruction, robotics, autonomous driving, and augmented reality. This survey traces the field's evolution from early learning-based methods to the emergence of transformative f...

Mu-Xin Liu, Xiaoyang Lyu, Yang-Tian Sun et al. · 0 citations