jongho

Jongho Lee

PhD Student

Computer Sciences

University of Wisconsin-Madison

about me

I am a Ph.D. student in Computer Sciences at the University of Wisconsin-Madison, advised by Prof. Mohit Gupta. My research interests include computer vision, computational imaging, computational photography, and machine learning.

The goal of my research is to design practical imaging systems able to capture scene information which cannot be captured with conventional cameras.  My Ph.D. work focuses on optimizing a light source, a sensor, and a computational algorithm together to estimate scene properties such as 3D geometry and fluorescence lifetime robustly in challenging conditions. I have worked with time-of-flight cameras, structured-light systems, and single-photon cameras.

Research statement

publications

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Light-in-Flight for a World-in-Motion

Jongho Lee, Ryan J. Suess, Mohit Gupta

ECCV 2024

High-quality all-in-one (3D geometry, intensity, 3D motion) imaging for dynamic scenes with a single indirect time-of-flight camera

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CASPI: Collaborative Photon Processing for Active Single-Photon Imaging

Jongho Lee, Atul Ingle, Jenu V. Chacko, Kevin W. Eliceiri, Mohit Gupta

Nature Communications 2023

Technology-agnostic, application-agnostic, tuning-free and training-free photon processing pipeline for emerging high-resolution single-photon cameras

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Mitigating AC and DC Interference in Multi-ToF-Camera Environments

Jongho Lee, Mohit Gupta

IEEE Transactions on Pattern Analysis and Machine Intelligence 2023

Novel approach for mitigating multi-ToF-Camera interference by reducing both AC and DC interference

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When Two Cameras Are a Crowd (Understanding and Handling Interference Across Multiple Active Cameras)

Jongho Lee, Mohit Gupta, Bhuvana Krishnaswamy, Suman Banerjee

Communications of the ACM 2023

We describe new and emerging challenges when multiple active 3D cameras operate in the same spatio-temporal region

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Blocks-World Cameras

Jongho Lee, Mohit Gupta

CVPR 2021 (oral presentation)

Novel approach to recover piece-wise planar scenes accurately at low computational cost without creating 3D point clouds

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Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference

Jongho Lee, Mohit Gupta

ICCV 2019 (oral presentation)

Novel approach for mitigating multi-ToF-Camera interference by reducing both AC and DC interference

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Coding Optimization for Fast Fluorescence Lifetime Imaging

Jongho Lee, JV Chacko, B Dai, SA Reza, AK Sagar, KW Eliceiri, A Velten, Mohit Gupta

ACM Transactions on Graphics  (presented at SIGGRAPH 2019)

Novel and high-performance coding schemes for fast fluorescence lifetime imaging that achieve up to an order of magnitude shorter acquisition time as compared to existing approaches

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Web Image-Based Super-Resolution

Jongho Lee, Sang Chul Ahn, Hwasup Lim, Ig-Jae Kim, Jaewon Kim, Hyoung-Gon Kim

ICPR 2012 (oral presentation)

Unified super-resolution framework that overcomes difficulties with large viewpoint change and photometric variation in the web images

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Putting Real-World Objects into Virtual World: Fast Automatic Creation of Animatable 3D Models with a Consumer Depth Camera

Hwasup Lim, Seong-Oh Lee, Jong-Ho Lee, Min-Hyuk Sung, Young-Woon Cha, Hyoung-Gon Kim, Sang Chul Ahn

ISUVR 2012 (Best Paper Award)

Comprehensive framework for generating animatable 3D models of real-world objects using only a single depth camera

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High-Quality Non-Blind Image Deconvolution with Adaptive Regularization

Jong-Ho Lee, Yo-Sung Ho

Journal of Visual Communication and Image Representation 2011

Fast non-blind image deconvolution method which preserves image details, while suppressing ringing and noise artifacts by controlling regularization strength according to local characteristics

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Skin Tone Enhancement and Background Change for Mobile Phones

Jong-Ho Lee, Jin Heo, Yo-Sung Ho

IEEE Transactions on Consumer Electronics 2010

Fast and memory-efficient skin tone enhancement and background change algorithms for mobile phones