Joo Ho Lee

Email: jhleecs [at] sogang [dot] ac [dot] kr
Google scholar Orcid Scopus Publons

I am an assistant professor and a research leader of the Visual Computing Laboratory at Sogang University. Before joining Sogang University, I received my Ph.D. degree from the Department of Computer Science at KAIST, advised by Prof. Min H. Kim. I worked at the autonomous vision group as a postdoc.

Notice

  • I am looking for passionate students who want to join our group (as master student or phd student). If you are interested, please send your CV, transcripts, and research interest.

  • We are also hiring research interns for undergraduate students who are interested in computer graphics, vision, and machine learning.

Research Area: Visual Computing

  • 3D appearance reconstruction

  • Realtime 3D geometry and texture reconstruction

  • Material modeling

  • Other graphics and vision applications

My research interest lies on visual computing that combines computer graphics and computer vision. I am mainly aiming at reconstructing the high-fidelity visual contents. By understanding and utilizing the principles of light transport between cameras and objects, I designed the real phenomena in the surface-reflection model for realistic rendering and built up the physical-based reconstruction methods to generate visually accurate 2D or 3D digital contents. Besides, I implemented a real-time application of scene reconstruction with high-resolution texture, where people can give feedback on the fly. I will keep doing my research in this direction to lower the hurdle between the virtual and real world.

Publication & Projects

Differentiable Appearance Acquisition from a Flash/No-flash RGB-D Pair

Hyun Jin Ku, Hyunho Ha, Joo Ho Lee, Dahyun Kang, James Tompkin, Min H. Kim
IEEE Conference on Computational Photography (ICCP 2022)

Project

Towards Scalable Multi-View Reconstruction of Geometry and Materials

Carolin Schmitt, Bozidar Antic, Andrei Neculai, Joo Ho Lee, Andreas Geiger
Proceeding to PAMI

Project

NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning

Hyunho Ha, Joo Ho Lee, Andreas Meuleman, Min H. Kim
IEEE Computer Vision and Pattern Recognition (CVPR 2021)

PDF Project

TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning

Joo Ho Lee, Ha Hyunho, Yue Dong, Xin Tong, Min H. Kim
IEEE Computer Vision and Pattern Recognition (CVPR 2020 Oral, Best Paper Finalist)

PDF Project Code

Real-time HDR Video Tone Mapping using High Efficiency Video Coding

Mingyun Kang, Joo Ho Lee, Inchang Choi, Min H. Kim
IEEE International Conference on Image Processing (ICIP 2019)

PDF

Practical Multiple Scattering for Rough Surfaces

Joo Ho Lee, Adrian Jarabo, Daniel S. Jeon, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, (ACM SIGGRAPH Asia 2018)

PDF Project Code

Practical SVBRDF Acquisition of 3D Objects with Unstructured Flash Photography

Giljoo Nam, Joo Ho Lee, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, (ACM SIGGRAPH Asia 2018)

PDF Project

Urban Image Stitching using Planar Perspective Guidance

Joo Ho Lee, Seung-Hwan Baek, Min H. Kim
British Machine Vision Conference (BMVC 2017)

PDF Project

Simultaneous Acquisition of Microscale Reflectance and Normals

Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, Vol.35(6) (ACM SIGGRAPH Asia 2016)

PDF Project

Laplacian Patch-Based Image Synthesis

Joo Ho Lee, Inchang Choi, Min H. Kim
IEEE Computer Vision and Pattern Recognition (CVPR 2016)

PDF Project

Locally Adaptive Products for Genuine Spherical Harmonic Lighting

Joo Ho Lee, Min H. Kim
International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2014)

PDF Project