GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations
Renán A. Rojas-Gómez, Minh N. Do
Under Submission
[project's website]
Renán A. Rojas-Gómez
I am a Machine Learning Engineer at Apple. I completed my Ph.D. in Electrical and Computer Engineering at UIUC, where I was advised by Prof. Minh N. Do. My research lies in the intersection between Deep Learning, Computer Vision and Signal Processing.
Research
Augmentations vs Algorithms: What Works in Self-Supervised Learning
Warren Richard Morningstar, Alex Bijamov, Christian Duvarney, Luke Friedman, Neha Kalibhat, Luyang Liu, Philip Andrew Mansfield, Renán A. Rojas-Gómez, Karan Singhal, Bradley Green, Sushant Prakash
Under Submission
[pre-print]
SASSL: Enhancing Self-Supervised Learning via Neural Style Transfer
Renán A. Rojas Gómez, Karan Singhal, Ali Etemad. Alex Bijamov, Warren R. Morningstar, Philip Andrew Mansfield
Transactions on Machine Learning Research (TMLR), 2024
SSLWIN Workshop, European Conference on Computer Vision (ECCV), 2024
[workshop's website]
[pre-print]
Making Vision Transformers Truly Shift-Equivariant
Renán A. Rojas Gómez, Teck-Yian Lim, Minh N. Do and Raymond A. Yeh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[project's website]
[pre-print]
Probing delivery of a lipid nanoparticle encapsulated self-amplifying mRNA vaccine using coherent Raman microscopy and multiphoton imaging
Kajari Bera*, Renán A. Rojas-Gómez*, Prabuddha Mukherjee, Corey E. Snyder, Edita Aksamitiene, Aneesh Alex, Darold R. Spillman Jr, Marina Marjanovic, Ahmed Shabana, Russell Johnson, Steve R. Hood, Stephen A. Boppart (*Equal Contribution)
Nature Scientific Reports, 2024
[paper]
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renán A. Rojas Gómez*, Teck-Yian Lim*, Alexander G. Schwing, Minh N. Do and Raymond A. Yeh (*Equal Contribution)
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
[project's website]
[paper]
[code]
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]