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Ziqian Ni

2 accepted papers

2026

LiDAR Prompted Spatio-Temporal Multi-View Stereo for Autonomous Driving

CVPR 2026

Accurate metric depth is critical for autonomous driving perception and simulation, yet current approaches struggle to achieve high metric accuracy, multi-view and temporal consistency, and cross-domain generalization. To address these challenges, we present DriveMVS, a novel multi-view stereo frame

Cited by 0SourcecodeScholar
2025

SAM4D: Segment Anything in Camera and LiDAR Streams

ICCV 2025poster

We present SAM4D, a multi-modal and temporal foundation model designed for promptable segmentation across camera and LiDAR streams. Unified Multi-modal Positional Encoding (UMPE) is introduced to align camera and LiDAR features in a shared 3D space, enabling seamless cross-modal prompting and intera…

Cited by 0SourcePDFScholar