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.
publications
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
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
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
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
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
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
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
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
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
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
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