Rui Li

Ph.D. Student

King Abdullah University of Science and Technology

Biography

My Chinese name is 李睿(Pronounce: Ray Lee). Ｉ am currently a Ph.D. student in KAUST, Computational Imaging Group, working with Prof. Wolfgang Heidrich. Before that, I obtained my bachelor’s degree in Xidian University, School of Telecommunications Engineering, and then went to University of Science and Technology of China (USTC), School of Information Science and Technology, as a master’s student.

Research: I am currently focusing on using various image measurements (e.g., light field, polarized images, RGB images, CT) to solve higher-level inverse problem or application-driven problems, such as photo-realistic 3D scene reconstruction/representation, viewpoint synthesis, segmentation, depth estimation, reflection removal, etc.

Else: I am also developing algorithmic trading system on popular cryptocurrency exchanges as well as NFT generation technology for photo-realistic scene.

Download my resumé or 简历.

Interests

Computational Photography
Photo-realistic 3D Reconstruction
Neural Rendering

Education

Ph.D. in Electrical and Computer Engineering, 2016-Present

KAUST
M.S. in Information and Communication Engineering, 2013-2016

University of Science and Technology of China
BSc in Communication Engineering, 2009-2013

Xidian University

Publications

Rui Li, Darius Rückert, Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich (2022). Neural Adaptive SCEne Tracing. https://arxiv.org/abs/2202.13664.

Darius Rückert, Yuanhao Wang, Rui Li, Ramzi Idoughi, Wolfgang Heidrich (2022). NeAT: Neural Adaptive Tomography. https://arxiv.org/abs/2202.02171.

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Rui Li, Guangmin Zang, Miao Qi, Wolfgang Heidrich (2022). Shape and Reflectance Reconstruction in Uncontrolled Environments by Differentiable Rendering. https://arxiv.org/abs/2110.12975.

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Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich (2021). IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction. In ICCV, 2021.

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Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich (2020). Reflection Separation via Multi-bounce Polarization State Tracing. In ECCV, 2020.

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Rui Li, Wolfgang Heidrich (2019). Hierarchical and View-invariant Light Field Segmentation by Maximizing Entropy Rate on 4D Ray Graphs. ACM Trans. Graphics, 2019.

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Rui Li, Lu Fang (2016). Cluster Sensing Superpixel and Grouping. In CVPRW, 2016.

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Rui Li, Minjian Pang, Cong Zhao, Guyue Zhou, Lu Fang (2016). Monocular Long-term Target Following on UAVs. In CVPRW, 2016.

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Projects

Neural 3D Reconstruction and Rendering

Neural rendering and differentiable rendering have become a popular and powerful toolkit for solving high-quality photorealistic 3D reconstruction and novel viewpoint synthesis. The pain points of neural rendering projects are computational efficiency and the scalability problem of solving large-scale and high-resolution cases, our project tries to improve those, to enable efficient, large-scale photorealistic 3D reconstruction, urban reconstruction, 3D intrinsic decomposition and editing.

Rui Li

XGBoost for Geo data prediction

Winner Code for 7th KAUST-NVIDIA Workshop: AI competition

Effiicient Superpixel and Grouping

Cluster Sensing Superpixel and Grouping

Light Field Segmentation, Depth Refinement

Siggraph Asia 2019 - Hierarchical and View-invariant Light Field Segmentation by Maximizing Entropy Rate on 4D Ray Graphs

Reflection Separation and Removal

ECCV 2020 - Reflection Separation via Multi-bounce Polarization State Tracing

UAVs Visual Tracking

Monocular Long-term Target Following on UAVs

Rui Li

Experience

Founder

SigTrading

May 2018 – Present Internet

(1) Design real-time AI trading system that supports mainstream deep learning framework, (2)design ticker-based trading algorithm and run them in crypto exchanges, (3) design 3D NFT from real world multiview data.