Byeongjoo Ahn Curriculum Vitae

byeongjooahn.github.io

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Research Interests

Fields
Computer vision, computer graphics, computational imaging
Focus
Generative models and representations for image, video, audio, and 3D content

Experience

  1. Apple

    Seattle, WA

    –Present

    Research Scientist

    Image and video generation foundation models

    –

    Research Intern

    Machine Learning Research, with Jen-Hao Rick Chang, Karren Yang, and Oncel Tuzel

  2. Snap Inc.

    (remote) New York, NY

    –

    Research Intern

    Computational Imaging Group, with Shree K. Nayar and Jian Wang

  3. Korea Institute of Science and Technology (KIST)

    Seoul, Korea

    –

    Research Scientist

    Center for Imaging Media Research, with Ig-Jae Kim

Education

  1. Carnegie Mellon University

    Pittsburgh, PA

    –

    PhD, Electrical and Computer Engineering

    Advisors: Aswin C. Sankaranarayanan and Ioannis Gkioulekas

    Thesis: Full-surround 3D Reconstruction using Kaleidoscopes

    Committee: Aswin C. Sankaranarayanan, Ioannis Gkioulekas, Manmohan Chandraker, Shree K. Nayar

  2. Seoul National University

    Seoul, Korea

    –

    MS, Electrical Engineering and Computer Science

    Advisor: Kyoung Mu Lee

    Thesis: Occlusion-Aware Motion Deblurring for Bilayer Scenes

    Outstanding Thesis Award

  3. Seoul National University

    Seoul, Korea

    –

    BS, Electrical and Computer Engineering

    Summa Cum Laude

Professional Activities

Area Chair
CVPR (2026, 2027), ICLR (2027), NeurIPS (2024–2026), ICML (2025)
Program Committee
ICCP (2023–2026)
Reviewer
CVPR (2019–2025), ICCV (2019–2025), ECCV (2020, 2024), BMVC (2019), ICLR (2022), NeurIPS (2022–2023), SIGGRAPH (2022), SIGGRAPH Asia (2023), TIP (2022), TCI (2024)

Publications

  1. AToken: A Unified Tokenizer for Vision

    Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Oralproject pagearXivcode

  2. Novel-view Acoustic Synthesis from 3D Reconstructed Rooms

    Byeongjoo Ahn, Karren Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang

    Interspeechproject pagearXivcode

  3. Neural Kaleidoscopic Space Sculpting

    Byeongjoo Ahn, Michael De Zeeuw, Ioannis Gkioulekas, Aswin C. Sankaranarayanan

    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)project pagepapercode

  4. Kaleidoscopic Structured Light

    Byeongjoo Ahn, Ioannis Gkioulekas, Aswin C. Sankaranarayanan

    ACM Transactions on Graphics (Proc. SIGGRAPH Asia)project pagepapercode

  5. Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator

    Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan

    IEEE/CVF International Conference on Computer Vision (ICCV), Oralproject pagepapercode

  6. Occlusion-Aware Video Deblurring with a New Layered Blur Model

    Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim, Kyoung Mu Lee

    Tech reportarXiv

  7. Reduced Illumination Patterns for Acquisition of Specular and Diffuse Normal Maps

    Byeongjoo Ahn, Junghyun Cho, Taekyung Yoo, Ig-Jae Kim

    ACM SIGGRAPH Asia Posterspaper

  8. Dynamic Scene Deblurring

    Tae Hyun Kim, Byeongjoo Ahn, Kyoung Mu Lee

    IEEE International Conference on Computer Vision (ICCV)paper

Awards and Honors

  1. Top Area Chair, NeurIPS

  2. Top Reviewer, NeurIPS

  3. Doctoral Study Abroad Scholarship, Korea Foundation for Advanced Studies (KFAS)

  4. Fulbright Graduate Study Award (respectfully declined), Fulbright

  5. Outstanding Thesis Award, Department of EECS, Seoul National University

  6. Honorable Mention Award, Samsung Humantech Paper Award

  7. Graduate Scholarship, Kwanjeong Educational Foundation

  8. Presidential Science Scholarship, Korea Student Aid Foundation

  9. Gold Medal, Korean Physics Olympiad

Invited Talks

  1. 3D from Interreflections: Can Noise Become Information?

    KIST, Korea University, Chung-Ang University

  2. –

    Kaleidoscopic Imaging for Full-surround 3D Reconstruction

    Meta Reality Labs, Seoul National University, KIST, Connective AI Workshop

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