Rui Li

ECE PhD Student, KAUST Visual Computing Center

King Abdullah University of Science and Technology, Bldg. 1, 2204-WS07, Thuwal, 23955-6900, Saudi Arabia.

Degrees History: Ph.D. Electrical Engineering, King Abdullah University of Science and Technology (since 2016); M. Sc. Electrical Engineering , University of Science and Technology of China (2013-2016); B. Sci., Electrical Engineering, Xidian University (2009-2013);

Research Interests: computer vision and computational imaging, especially in light field segmentation, visual tracking, image segmentation, submodular optimization

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Additional details: Bio

Recent Publications:

Y. Wang, R. Idoughi, D. Rückert, R. Li, W. Heidrich:
Adaptive Differentiable Grids for Cryo-Electron Tomography Reconstruction and Denoising
Bioinformatics Advances, 2023
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R. Li, D. Rückert, Y. Wang, R. Idoughi, W. Heidrich:
Neural Adaptive Scene Tracing (NAScenT)
VMV, 2022
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D. Rückert, Y. Wang, R. Li, R. Idoughi, W. Heidrich:
NeAT-Neural Adaptive Tomography
ACM Transactions on Graphics (Proc. SIGGRAPH), 2022
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G. Zang, R. Idoughi, R. Li, P. Wonka, W. Heidrich:
IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction
ICCV, 2021
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R. Li*, S. Qiu*, G. Zang, W. Heidrich:
Reflection Separation via Multi-bounce Polarization State Tracing
ECCV, 2020
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R. Li, W. Heidrich:
Hierarchical and View-invariant Light Field Segmentation by Maximizing Entropy Rate on 4D Ray Graphs
ACM Transactions on Graphics (Proc. SIGGRAPH Asia), 2019
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