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I am a Research Scientist at Apple. I received my Ph.D. degree from Carnegie Mellon University, where I was advised by Prof. Aswin C. Sankaranarayanan and Prof. Ioannis Gkioulekas. Prior to that, I earned my B.S. and M.S. degrees from Seoul National University, where I worked with Prof. Kyoung Mu Lee. Additionally, I spent three wonderful years as a Research Scientist at the Center for Imaging Media Research at the Korea Institute of Science and Technology. My first name is pronounced as Be-Young-Joo. Email / CV / Google Scholar / LinkedIn / GitHub |
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My research interests are in computational imaging and computer vision. I am interested in identifying visible hints offered by our physical surroundings such as interreflections, and developing imaging systems extending the visibility far beyond human ability such as the reconstruction of objects that are not in the direct line of sight or those with strong self-occlusions. |
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Byeongjoo Ahn, Karren Yang, Brian Hamilton, Jonathan Sheaffer, Anurag Ranjan, Miguel Sarabia, Oncel Tuzel, Jen-Hao Rick Chang Interspeech, 2024 [code] [paper] [video] (headset recommended) We unmute novel-view synthesis by estimating the spatial sound anywhere in a scene containing multiple unknown sound sources, by combining blind audio recordings with 3D scene information. |
 
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Byeongjoo Ahn, Michael De Zeeuw, Ioannis Gkioulekas, Aswin C. Sankaranarayanan IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [project page] [paper] [supplement] [video] [code] [bibtex] We introduce a method that recovers full-surround 3D reconstructions from a single kaleidoscopic image by sculpting a neural surface representation. |
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Byeongjoo Ahn, Ioannis Gkioulekas, Aswin C. Sankaranarayanan ACM Transactions on Graphics (Proc. SIGGRAPH ASIA), 2021 [project page] [paper] [video] [bibtex] We introduce a kaleidoscopic structured light system that generates hundreds of virtual projectors and cameras for full surround 3D scans of intricate objects. |
 
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Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, Aswin C. Sankaranarayanan IEEE/CVF International Conference on Computer Vision (ICCV), 2019 (Oral Presentation) [project page] [paper] [supplement] [bibtex] A computationally efficient technique for NLOS imaging based on a derivation that shows the Gram of the measurement operator is convolutional. |
 
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Byeongjoo Ahn, Tae Hyun Kim, Wonsik Kim, Kyoung Mu Lee Technical Report, 2016 [paper] [bibtex] Occlusion-aware deblurring method for scenes with occluding objects using a carefully designed layered blur model that reflects actual blur generation process. |
 
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Byeongjoo Ahn, Junghyun Cho, Taekyung Yoo, Ig-Jae Kim ACM SIGGRAPH Asia Posters, 2016 [paper] [bibtex] Acquisition of specular and diffuse normal maps from minimal number of polarized images by removing the redundancy in four reflectances under XYZ-gradient and constant patterns. |
 
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Tae Hyun Kim, Byeongjoo Ahn, Kyoung Mu Lee IEEE International Conference on Computer Vision (ICCV), 2013 [paper] [bibtex] Dynamic scene deblurring method estimating the latent image as well as different blur motions and their soft segmentations jointly. |
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