Ph.D. Student · Carnegie Mellon University

Haejoon Lee 이해준

I work on computational cameras for computer vision.

I am a Ph.D. student in the Image Science Lab at Carnegie Mellon University, where I am advised by Aswin C. Sankaranarayanan and Vijayakumar (Kumar) Bhagavatula. I earned my BSE in Electrical and Electronic Engineering from Yonsei University, Seoul, South Korea. In 2026, I interned at Apple on the Video Computer Vision Science Team.

Research (selected)

May 2026My first-author paper Hi-SPAD was accepted to ACM Transactions on Graphics (TOG) and presented at SIGGRAPH 2026.
May 2026Started a research internship at Apple (Video Computer Vision Science Team).
Mar 2026Awarded the Hsu Chang Memorial Fellowship at Carnegie Mellon University.

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Feb 2025One paper was accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Jul 2024One first-author paper was accepted at European Conference on Computer Vision (ECCV) 2024.
Jul 2023Selected for The Korean Government Scholarship Program for Study Overseas.

May – Aug 2026

Research Intern, Apple

Video Computer Vision Science Team
2023 – present

Ph.D. student, Electrical and Computer Engineering

Carnegie Mellon University · Image Science Lab
2022 – 2023

M.S., Electrical and Computer Engineering

Carnegie Mellon University
2015 – 2021

BSE, Electrical and Electronic Engineering

Yonsei University

Hsu Chang Memorial Fellowship, Carnegie Mellon University, 2026
Presidential Fellowship funded by a Tata Consulting Services (TCS) gift, Carnegie Mellon University, 2024
Covers tuition and stipend for the 2024-2025 academic year.
The Korean Government Scholarship Program for Study Overseas, Korean National Institute for International Education, 2023
Selected as one of the five Korean students in the digital field (Funding from Aug. 2023 to Aug. 2025).
Best Scientific Awards [1st] - Oral Presentation, The Korean Society of Magnetic Resonance in Medicine, 2021
Awarded 1st prize among oral presentations in The 9th International Congress on Magnetic Resonance Imaging & 26th Annual Scientific Meeting of KSMRM (ICMRI 2021).
Academic Excellence Scholarship, Yonsei University, 2021
High Honors, EEE department of Yonsei University, 2020
Ranked in the top 3% of undergraduate students in the EEE department.

Reviewer for IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE/CVF International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), IEEE Transactions on Computers (TOC).

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