Haokai Zhu — accepted AI-conference papers

2025

EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration

Haokai Zhu, Bo Qu, Si-Yuan Cao, Runmin Zhang, Shujie Chen, Bailin Yang +1

ICCV 2025poster

Previous deep image registration methods that employ single homography, multi-grid homography, or thin-plate spline often struggle with real scenes containing depth disparities due to their inherent limitations. To address this, we propose an Exponential-Decay Free-Form Deformation Network (EDFFDNet…

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2024

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

Haokai Zhu, Si-Yuan Cao, Jianxin Hu, Sitong Zuo, Beinan Yu, Jiacheng Ying +2

CVPR 2024poster

We propose Multiscale Correlation searching homography estimation Network namely MCNet an iterative deep homography estimation architecture. Different from previous approaches that achieve iterative refinement by correlation searching within a single scale MCNet combines the multiscale strategy with…

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