Omar DeGuchy

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

High Resolution Images

Top Venues

Publications

Aditya Ranganath, Omar DeGuchy, Fabian Santiago, Mukesh Singhal, Roummel F. Marcia
Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. ICMLA (2022)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. ACSCC (2021)
Aditya Ranganath, Omar DeGuchy, Mukesh Singhal, Roummel F. Marcia
Second-Order Trust-Region Optimization for Data-Limited Inference. EUSIPCO (2021)
Jacqueline Alvarez, Omar DeGuchy, Roummel F. Marcia
Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering. IGARSS (2020)
Mario Banuelos, Omar DeGuchy, Suzanne Sindi, Roummel F. Marcia
Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. EUSIPCO (2020)
Michael Fernando Mendez Jimenez, Omar DeGuchy, Roummel F. Marcia
Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images. ISITA (2020)
Omar DeGuchy, Fabian Santiago, Mario Banuelos, Roummel F. Marcia
Deep Neural Networks for Low-resolution Photon-limited Imaging. ICASSP (2019)
Omar DeGuchy, Jennifer B. Erway, Roummel F. Marcia
Compact representation of the full Broyden class of quasi-Newton updates. Numer. Linear Algebra Appl. 25 (5) (2018)
Jacob Rafati, Omar DeGuchy, Roummel F. Marcia
Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. EUSIPCO (2018)
Omar DeGuchy, Lasith Adhikari, Arnold D. Kim, Roummel F. Marcia
Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. CAMSAP (2017)