Unlocking crowding by ensemble statistics

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High-quality 3D ultrasound (US) imaging requires dense matrix-array probes with thousands of elements and necessitates an unrealistic number of coaxial cables to connect such probes to back-end systems. To address this issue, many techniques have been deve ...

Advances in high-speed imaging techniques have opened new possibilities for capturing ultrafast phenomena such as light propagation in air or through media. Capturing light in flight in three-dimensional xyt space has been reported based on various types o ...

Many classical Computer Vision problems, such as essential matrix computation and pose estimation from 3D to 2D correspondences, can be tackled by solving a linear least-square problem, which can be done by finding the eigenvector corresponding to the smal ...

Unlocking crowding by ensemble statistics

Chat with Graph Search

Compressive Multiplexing of Ultrasound Signals

Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems