Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renán A. Rojas-Gómez
Ph.D. Candidate
Electrical and Computer Engineering Department
University of Illinois at Urbana-Champaign
Resume
I am a fourth year Ph.D. candidate in the ECE department at UIUC. I am advised by Prof. Minh N. Do. My research lies in the intersection between Machine Learning and Signal Processing.
Research
Inverting Adversarially Robust Networks for Image Synthesis
Physics-Consistent Data-Driven Waveform Inversion With Adaptive Data Augmentation
Renán A. Rojas-Gómez, Jihyun Yang, Youzuo Lin, James Theiler, Brendt Wohlberg
IEEE Geoscience and Remote Sensing Letters, Volume 19, 2020
[paper]
Learning optimal parameters for binary sensing image reconstruction algorithms
Renán A. Rojas-Gómez, Wangyu Luo, Victor Murray, Yue M. Lu
IEEE International Conference on Image Processing (ICIP), 2017
[paper]
Crawling Waves Speed Estimation Based on the Dominant Component Analysis Paradigm
Renán A. Rojas-Gómez, Juvenal Ormachea, Arthur Salo, Paul Rodríguez, Kevin J. Parker, Benjamin Castaneda
Ultrasonic Imaging, Volume 37, Issue 4, 2015
[paper]
Mixed Gaussian-Impulse Noise Image Restoration via Total Variation
Paul Rodríguez, Renán A. Rojas-Gómez, Brendt Wohlberg
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
[paper]