Published inTowards Data SciencePopular Downstream Tasks for Video Representation LearningA summary of the common downstream tasks used to evaluate video representation learning for long, instructional videos.Jun 9, 20211Jun 9, 20211
Covid-19: Just the FactsA summary of the information you need to understand Covid-19 and how it affects you. Info is from multiple sources for fact checking.Nov 4, 2020Nov 4, 2020
Published inTowards Data ScienceUnderstanding the Backbone of Video Classification: The I3D ArchitectureA summary of the I3D model. Commonly used for classification of videos or to extract features of videos for other tasks.Jun 7, 2020Jun 7, 2020
Published inTowards Data ScienceRecognizing Depth in Autonomous DrivingUnsupervised deep learning depth prediction for image sequencesOct 15, 2019Oct 15, 2019
A Review on Quantum Image ProcessingThis paper is a review of research in quantum image processing (QIP), storage, and retrieval.Sep 24, 2019Sep 24, 2019
Published inTowards Data ScienceDeepLabv3: Semantic Image SegmentationThis article summarizes work from Google DeepLabv3 that improves semantic segmantic tasks compared to the state-of-the-art models.Sep 24, 2019Sep 24, 2019
Published inTowards Data ScienceAutonomous Driving: Intro into SLAMSLAM is the process where a robot/vehicle builds a global map of their current environment and uses this map to navigate or deduce its…Aug 18, 20191Aug 18, 20191
Cyber Training Through Games and AIThis article will briefly go over some of the current trends in cyber training and simulation.Jun 21, 2019Jun 21, 2019
Published inTowards Data ScienceNorms, Penalties, and Multitask learningAn introduction to statistical norms and how they are used to improve the generalizability of a model.May 31, 20191May 31, 20191
Published inTowards Data ScienceHow do Graph Neural Networks Work?GNNs encode graphical representations, but what are they and how do they work? Who uses them? This post will provide a brief overview.Apr 17, 20191Apr 17, 20191