Estimating optical flow in occluded regions is a crucial challenge in unsupervised settings. In this work, we introduce M2Flow, a novel framework for unsupervised optical flow estimation that ...

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Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to unlocking microscopic details inside living cells. Yet despite decades of ...

Meta-optics employ sub-wavelength nanostructures (scatterers) arranged across a surface to manipulate electromagnetic waves and shape the wavefront in ways previously unattainable with traditional ...

Measuring blood flow in the brain is critical for understanding response to a range of neurological problems, including stroke, traumatic brain injury (TBI) and vascular dementia. Obtaining such ...

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Abstract: Optical flow estimation constitutes a fundamental computational challenge in computer vision, with critical applications object trajectory prediction, depth reconstruction, and autonomous ...

A subset of the true optical flow can be extracted by constructing a vector field that represents image gradients and then tracking vectors in this vector field. This pseudo-flow (p-flow) subset ...