no code implementations • 12 Mar 2021 • Yanting Ma, Petros T. Boufounos, Hassan Mansour, Shuchin Aeron
In several applications, including imaging of deformable objects while in motion, simultaneous localization and mapping, and unlabeled sensing, we encounter the problem of recovering a signal that is measured subject to unknown permutations.
no code implementations • 16 Jun 2020 • Sheila W. Seidel, John Murray-Bruce, Yanting Ma, Christopher Yu, William T. Freeman, Vivek K Goyal
Previous work has leveraged the vertical nature of the edge to demonstrate 1D (in angle measured around the corner) reconstructions of moving and stationary hidden scenery from as little as a single photograph of the penumbra.
no code implementations • 2 Aug 2019 • Yanting Ma, Shuchin Aeron, Hassan Mansour
In this article, we study the convergence of Mirror Descent (MD) and Optimistic Mirror Descent (OMD) for saddle point problems satisfying the notion of coherence as proposed in Mertikopoulos et al. We prove convergence of OMD with exact gradients for coherent saddle point problems, and show that monotone convergence only occurs after some sufficiently large number of iterations.
no code implementations • 4 Aug 2017 • Yanting Ma, Hassan Mansour, Dehong Liu, Petros T. Boufounos, Ulugbek S. Kamilov
The problem of reconstructing an object from the measurements of the light it scatters is common in numerous imaging applications.