Fanqi Pu — accepted AI-conference papers

2026

SPAN: Spatial-Projection Alignment for Monocular 3D Object Detection

Yifan Wang, Yian Zhao, Fanqi Pu, Xiaochen Yang, Yang Tang, Xi Chen +1

CVPR 2026

Existing monocular 3D detectors typically tame the pronounced nonlinear regression of 3D bounding box through decoupled prediction paradigm, which employs multiple branches to estimate geometric center, depth, dimensions, and rotation angle separately.Although this decoupling strategy simplifies the

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2025

MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors

Fanqi Pu, Yifan Wang, Jiru Deng, Wenming Yang

CVPR 2025poster

Perspective projection has been extensively utilized in monocular 3D object detection methods. It introduces geometric priors from 2D bounding boxes and 3D object dimensions to reduce the uncertainty of depth estimation. However, due to errors originating from the object's visual surface, the boundi…

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