Leron Julian

I recently completed my PhD in Electrical & Computer Engineering at Carnegie Mellon University advised by Aswin Sankaranarayanan within the Image Science Lab . I am also a proud Morehouse College Computer Science Graduate, class of 2019.

I interned at Samsung Research in 2023 as a Computer Vision Research Intern. I also interned at Idaho National Laboratory in 2019 as a Data Analyst Intern. I am also a honored to be funded by the GEM and Fritsch Family Fellowship during my PhD studies.

CV  /  LinkedIn

Email: LeronJulian[at]hotmail[dot]com

I am currently looking for full-time positions.

profile photo

Interests

My interest broadly lies within the intersection of Computer Vision and Machine/Deep Learning.

My PhD thesis used vision and learning to lessen the variability of photovoltaic systems by studying the spatial distribution of clouds and their absorption properties along with the physical process that governs the creation and extinction of them; All in an effort to make photovoltaic systems more widespread and efficient by forecasting its availability long into the future.

Publications

Computational Imaging for Long-Term Prediction of Solar Irradiance
Leron Julian, Haejoon Lee, Soummya Kar, Aswin Sankaranarayanan
Under Review In IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)/Special Issue of ICCP, 2024
[Paper] [Code]

We design and deploy a catadioptric system that delivers wide-angle imagery of the sky with uniform spatial resolution over its FOV. To enable prediction over a longer time horizon, we design an algorithm that uses carefully selected spatio-temporal slices of the imagery using estimated wind direction and velocity as inputst to show that our system that is capable of predicting solar occlusion as well as irradiance for tens of minutes in the future, which is an order of magnitude improvement over prior work.

Precise Forecasting of Sky Images Using Spatial Warping
Leron Julian, Aswin Sankaranarayanan
International Conference On Computer Vision Workshop (ICCVW), 2021
[Paper] [Supp] [Bibtex] [Code]

We introduce a deep learning framework, along with an optimal warping algorithm, to predict a future sky image frame with higher spatial and longer temporal resolution than previous methods.

The Development Of A Conversational Agent Mentor Interface Using Short Message Service (SMS)
Leron Julian, Kinnis Gosha Earl W. Huff Jr.
ACM SIGMIS Conference on Computers and People Research (SIGMIS-CPR) , 2018
[Paper]

We present the design and development of a conversational agent mentor that uses short message service (SMS) as a virtual mentor, to mentor undergraduate computer science majors at a Historically Black College (HBCU) who are considering pursuing a graduate degree in computing.

Using SMS As An Interface For A Virtual Mentoring System
Leron Julian, Kinis Gosha
Association for Computing Machinery Southeast (ACMSE), 2018
[Poster]

Poster presenting the design and development of a conversational agent mentor that uses short message service (SMS) as a virtual mentor, to mentor undergraduate computer science majors at a Historically Black College (HBCU) who are considering pursuing a graduate degree in computing.

Projects



Dynamic Graphs For Point Cloud Completion

Project for 16-852 Learning for 3D Vision @ CMU, Spring 2022

[Paper]

Novel View Synthesis of Transparent Objects using Neural Radiance Fields (NeRF)

Project for 16-822 Geometry-Based Vision @ CMU, Fall 2021

[Paper]

Note Recognition in Renditions of Piano Instrumentals

Project for 18-752 Estimation, Detection & Learning @ CMU, Spring 2021

[Paper]

Color-Filtered Aperture for Image Depth Segmentation

Project for 15-862 Computational Photography @ CMU, Fall 2020

[Paper]

Semi-Supervised Learning For Image Classification

Project for 10-701 Machine Learning @ CMU, Spring 2020

[Paper]

Coursework

18-453 Intro to XR systems
33-353 Intermediate Optics
18-738 Sports Technology
16-889 Learning Based Methods For 3D Computer Vision
16-822 Geometry-Based Vision
18-752 Estimation, Detection & Learning
15-862 Computational Photography
10-701 Machine Learning
10-725 Convex Optimization
16-720 Computer Vision
18-793 Image & Video Processing

Service

Teaching

Teaching Assistant for “Machine Learning for Engineers (18-661)” at CMU Taught by Gauri Joshi & Yuejie Chi, Fall 2020

Teaching Assistant for “Programming II (CSC 160)” at Morehouse College Taught by Prof. Amos Johnson, Spring 2019

Instructor for C-SCORE Program teaching Marine ROTC Students Python and Computer Vision, Spring 2019


Website borrowed from here!

Last Updated: October 2024