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Leron Julian I am currently a PhD Candidate 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 Research Intern. I also interned at Idaho National Laboratory in 2019 as a Nuclear Plant Data Sciene Intern. I am also a honored to be funded by the GEM and Fritsch Family Fellowship during my PhD studies. Email: LJulian[at]andrew[dot]cmu[dot]edu |
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Research InterestsMy research interest broadly lies within the intersection of Computer Vision and Deep Learning. Currently, I am using 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 |
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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. |
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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. |
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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. |
ProjectsDynamic 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
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ServiceTeachingTeaching 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 |
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Website borrowed from here! |