Madeline Schiappa – Medium

Madeline Schiappa

Published in
Towards Data Science

Popular Downstream Tasks for Video Representation Learning

A summary of the common downstream tasks used to evaluate video representation learning for long, instructional videos.

Jun 9, 2021

Popular Downstream Tasks for Video Representation Learning

Jun 9, 2021

Covid-19: Just the Facts

A 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, 2020

Covid-19: Just the Facts

Nov 4, 2020

Published in
Towards Data Science

Understanding the Backbone of Video Classification: The I3D Architecture

A summary of the I3D model. Commonly used for classification of videos or to extract features of videos for other tasks.

Jun 7, 2020

Understanding the Backbone of Video Classification: The I3D Architecture

Jun 7, 2020

Published in
Towards Data Science

Recognizing Depth in Autonomous Driving

Unsupervised deep learning depth prediction for image sequences

Oct 15, 2019

Recognizing Depth in Autonomous Driving

Oct 15, 2019

A Review on Quantum Image Processing

This paper is a review of research in quantum image processing (QIP), storage, and retrieval.

Sep 24, 2019

A Review on Quantum Image Processing

Sep 24, 2019

Published in
Towards Data Science

DeepLabv3: Semantic Image Segmentation

This article summarizes work from Google DeepLabv3 that improves semantic segmantic tasks compared to the state-of-the-art models.

Sep 24, 2019

DeepLabv3: Semantic Image Segmentation

Sep 24, 2019

Published in
Towards Data Science

Autonomous Driving: Intro into SLAM

SLAM 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, 2019

Autonomous Driving: Intro into SLAM

Aug 18, 2019

Cyber Training Through Games and AI

This article will briefly go over some of the current trends in cyber training and simulation.

Jun 21, 2019

Cyber Training Through Games and AI

Jun 21, 2019

Published in
Towards Data Science

Norms, Penalties, and Multitask learning

An introduction to statistical norms and how they are used to improve the generalizability of a model.

May 31, 2019

Norms, Penalties, and Multitask learning

May 31, 2019

Published in
Towards Data Science

How 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, 2019

How do Graph Neural Networks Work?

Apr 17, 2019

Madeline Schiappa

Madeline Schiappa

PhD Student in the UCF Center for Research in Computer Vision https://www.linkedin.com/in/madelineschiappa/

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