Daniel Miao

2 accepted papers

2026

QuadSync: Quadrifocal Tensor Synchronization via Tucker Decomposition

CVPR 2026

In structure from motion, quadrifocal tensors capture more information than their pairwise counterparts (essential matrices), yet they have often been thought of as impractical and only of theoretical interest. In this work, we challenge such beliefs by providing a new framework to recover n cameras

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2024

Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor

Daniel Miao, Gilad Lerman, Joe Kileel

NeurIPS 2024poster

The block tensor of trifocal tensors provides crucial geometric information on the three-view geometry of a scene. The underlying synchronization problem seeks to recover camera poses (locations and orientations up to a global transformation) from the block trifocal tensor. We establish an explicit…

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