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20112026
most citedGravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

335 citations · 1.2k across the 81 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

gr-qc2016★ 335 cited

Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science

Michael Zevin, Scott Coughlin, Sara Bahaadini +15

(abridged for arXiv) With the first direct detection of gravitational waves, the Advanced Laser Interferometer Gravitational-wave Observatory (LIGO) has initiated a new field of as…

cs.CV2016★ 44 cited

Compressive Holographic Video

Zihao Wang, Leonidas Spinoulas, Kuan He +4

Compressed sensing has been discussed separately in spatial and temporal domains. Compressive holography has been introduced as a method that allows 3D tomographic reconstruction a…

cs.CV2016★ 5 cited

Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization

Reza Borhani, Jeremy Watt, Aggelos Katsaggelos

Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering m…

cs.CV2016

DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing

Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos

In this paper, we propose a novel encoder-decoder neural network model referred to as DeepBinaryMask for video compressive sensing. In video compressive sensing one frame is acquir…

cs.CV2016★ 65 cited

Robust and Low-Rank Representation for Fast Face Identification with Occlusions

Michael Iliadis, Haohong Wang, Rafael Molina +1

In this paper we propose an iterative method to address the face identification problem with block occlusions. Our approach utilizes a robust representation based on two characteri…

cs.CV2016

Deep Fully-Connected Networks for Video Compressive Sensing

Michael Iliadis, Leonidas Spinoulas, Aggelos K. Katsaggelos

In this work we present a deep learning framework for video compressive sensing. The proposed formulation enables recovery of video frames in a few seconds at significantly improve…