Author

Mu-Xin Liu

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Preprint Sep 2026

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

LiFR v2 is presented, a unified propagation-completion-memory framework for causal anytime and streaming dense prediction from an RGB keyframe and events and introduces an Event-Guided Completion Module (EGCM) and a History Retrieval Module (HRM) to reuse completed representations across successive queries.

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...

Muxin Liu, Xiaoyang Lyu, Yang-Tian Sun et al. · 2 citations