Hyeonjun Sim
Hyeonjun Sim
Camera Firmware Engineer at Google in Mountain View, USA
E-mail: flhy5836@gmail.com
[CV] [Google Scholar] [LinkedIn] [GitHub]
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Research Interests
Research Interests
Deep Learning, Low-level Computer Vision, Image/video Restoration: Image/video Super-resolution, Deblurring, Video Frame Interpolation, Raw Image (Bayer) Denoising, Video Bokeh, Video Depth Stabilization
Experience
Experience
Google, Mountain View, USA, Mar. 2026 - Present
Camera Firmware Engineer, XR
Qualcomm, San Diego, USA, Sep. 2022 - Mar. 2026
Senior Engineer, Camera System
Development and Evaluation of Perceptual-oriented Raw Image (Bayer) Denoising
Evaluation of Video Bokeh Rendering
Evaluation of Depth-based View Reprojection in XR systems
Education
Education
Ph.D., School of Electrical Engineering, KAIST
Advised by Prof. Munchurl Kim at Video and Image Computing Lab.
M.S., Department of Industrial & Systems Engineering, KAIST
B.S., Department of Mathematical Sciences, cum laude, KAIST
Chungbuk Science High School
Mar. 2018 - Aug. 2022
Mar. 2016 - Feb. 2018
Mar. 2011 - Feb. 2016
Mar. 2009 - Feb. 2011
Publications
Publications
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
A. Gunawan, S. Y. Kim, H. Sim, J.-H. Lee, M. Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[ProjectPage] [Paper] [arXiv] [8min_video]
XVFI: eXtreme Video Frame Interpolation
H. Sim*, J. Oh*, M. Kim (* equal contribution)
IEEE International Conference on Computer Vision (ICCV), 2021
(Oral presentation, 3% of submitted papers)
[Paper] [arXiv] [GitHub] [Demo] [12min_video]
KOALAnet: Blind Super-Resolution using Kernel-Oriented Adaptive Local Adjustment
S.Y. Kim*, H. Sim*, M. Kim (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [arXiv] [GitHub] [5min_video]
Breaking Moravec's Paradox: Visual-Based Distribution in Smart Fashion Retail
S.W. Sung, H. Baek, H. Sim, E.H. Kim, H. Hwangbo, Y.J. Jang
The fifth international workshop on fashion and KDD, 2020
[arXiv]
NTIRE 2019 Challenge on Video Deblurring: Methods and Results
S. Nah, R. Timofte, [and 43 others, including H. Sim]
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019.
[Paper]
High-Resolution Image Dehazing with respect to Training Losses and Receptive Field Sizes
H. Sim, S. Ki, J-S. Choi, S.Y. Kim, S. Seo, S. Kim, M. Kim
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018.
4th Place Award (2nd Rank in Outdoor Track, 4th Rank in Indoor Track) in NTIRE 2018 Challenge on Image Dehazing
[Paper]
Fully End-to-End learning based Conditional Boundary Equilibrium GAN with Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing
S. Ki, H. Sim, J-S. Choi, S.Y. Kim, S. Seo, S. Kim, M. Kim
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018.
[Paper]
NTIRE 2018 Challenge on Image Dehazing: Methods and results
C. Ancuti, C. O. Ancuti, R. Timofte, [and 62 others, including H. Sim]
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018.
[Paper]
Honors and Awards
Honors and Awards
NTIRE 2019 Challenge on Video Deblurring in conjunction with CVPR 2019
3rd Place Award, Long Beach, US, June 2019.
NTIRE 2018 Challenge on Image Dehazing in conjunction with CVPR 2018
4th Place Award (2nd Rank in Outdoor Track, 4th Rank in Indoor Track), Salt Lake City, US, June 2018.
2017 The 13th KMAC Management Innovation Research Paper and Case Study Contest
Excellence Award - Title : A study on deep learning-based fashion product recommendation method in online shopping malls
Reviewer Services
Reviewer Services
The European Conference on Computer Vision (ECCV) 2024
IEEE International Conference on Computer Vision (ICCV) 2023
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2023
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