Researcher • Engineer • Artist
Deep Learning Algorithm Engineer at Apple Inc.
I work as a Deep Learning Algorithm Engineer at Apple. Previously, I worked for Intel Corporation and Motorola/Lenovo.
I received my PhD from The University of Texas at Austin, where I worked with Alan Bovik and Paola Passalacqua.
I make educational videos on machine learning, computer vision, and image processing on my YouTube channel.
I use artificial intelligence and creative algorithms to experiment with different styles of art. Check out my artwork on Instagram!
Projects & Publications
Classical Music + AI Art
2020 • Personal Project | A generative music visualizer. Supports up to 8K resolution.
YouTube Channel
MARCUS: An AI Art Generator
2020 • Personal Project | An AI-powered software tool for experimenting with different styles of art.
Video
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems
ECCV 2020 | A system comprised of fixed-topology neural networks having partially frozen weights.
Arxiv Springer PDF Video
A Machine Learning Imaging Core using Separable FIR-IIR Filters
2020 | Fixed-function neural network hardware that performs pixel-to-pixel image transformations in a highly efficient way.
Arxiv PDF Video
Eye Contact Correction using Deep Neural Networks
WACV 2020 | Restores eye contact during video calls by warping and tuning the eyes in the input frames.
Arxiv PDF (CVF Open Access) Video | Press coverage: Fortune TechXplore Edgy.app VC Daily test.ai
Characterization of Deltaic Channel Morphodynamics From Imagery Time Series Using the Channelized Response Variance
JGR 2019 (Journal) | Follow-up study on RivaMap. Proposes a new metric for tracking temporal change in channel systems.
Wiley Online Library PDF
Seeing Through the Clouds With DeepWaterMap
GRSL 2019 (Letter) | The state-of-the-art convolutional neural network for pixel-wise water segmentation.
IEEEXplore PDF Code
VisionISP: an Image Processing Pipeline for Computer Vision Applications
ICIP 2019 | An imaging pipeline that consists of trainable blocks.
IEEEXplore Arxiv PDF Video
Learning a River Network Extractor Using an Adaptive Loss Function
GRSL 2018 (Letter) | A deep convolutional neural network that detects river centerlines on satellite imagery.
IEEEXplore PDF Code
Landmark Recognition on Moto X4 Smart Camera
2017 | Detects points of interest in a picture and asks if you want to learn more about them.
Video | Press coverage: Qualcomm Blog Motorola Blog Android Headlines
Surface Water Mapping by Deep Learning
IEEE JSTARS 2017 (Journal) | A deep model that segments water on multispectral images.
IEEEXplore PDF Code
RivaMap: An Automated River Analysis and Mapping Engine
Elsevier RSE 2017 (Journal) | Processes Landsat images at large scales, delineates rivers, and estimates their width.
ScienceDirect PDF Code
A New Database and Protocol for Image Reuse Detection
ECCV Workshop on Computer Vision for Art Analysis 2016 | Image reuse detection in digital artworks.
Springer PDF
Automatic Channel Network Extraction From Remotely Sensed Images by Singularity Analysis
GRSL 2015 (Letter) | Hand-crafted features to detect curvilinear structures on remotely sensed images.
IEEEXplore PDF Code
UTimelapse: a Tool for Creating High-Quality Timelapse Videos
2014 | Creates high-quality timelapse videos by reducing camera shake, flickering, and single-frame artifacts.
Blog Post Video Google Scholar
Affine Invariant Salient Patch Descriptors for Image Retrieval
WIAMIS 2013 | A foreground-sensitive image descriptor.
IEEEXplore PDF
A Real Time Virtual Dressing Room Application
2012 | Used a Microsoft Kinect sensor to superimpose t-shirts on a user.
Technical Report Video
Automatic Recognition of Turkish Fingerspelling
INISTA 2011 | A sign language recognition app that translated fingerspelled letters into text.
IEEEXplore