Hanjiang Xiong — accepted AI-conference papers

2024

Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo

Hongjie Li, Yao Guo, Xianwei Zheng, Hanjiang Xiong

AAAI 2024technical

This paper introduces a learnable Deformable Hypothesis Sampler (DeformSampler) to address the challenging issue of noisy depth estimation in faithful PatchMatch multi-view stereo (MVS). We observe that the heuristic depth hypothesis sampling modes employed by PatchMatch MVS solvers are insensitive…

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2023

Shape Anchor Guided Holistic Indoor Scene Understanding

Mingyue Dong, Linxi Huan, Hanjiang Xiong, Shuhan Shen, Xianwei Zheng

ICCV 2023poster

This paper proposes a shape anchor guided learning strategy (AncLearn) for robust holistic indoor scene understanding. We observe that the search space constructed by current methods for proposal feature grouping and instance point sampling often introduces massive noise to instance detection and me…

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