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Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University
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LiteMVS achieves superior depth estimation and 3D reconstruction by merging monocular insights with multi-view geometric reasoning, all while keeping inference costs low.
VOP-Nav achieves a remarkable balance of speed and safety, outperforming all baseline methods in navigating crowded environments without explicit obstacle tracking.
Zero-shot sim-to-real transfer for quadrotor control is now systematically achievable, thanks to a unified framework that integrates differentiable physics learning with training, validation, and real-world deployment.
