Rui Li

ECE PhD Student, KAUST Visual Computing Center

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

Personal Page: arthurlirui.com

Additional details: Bio

Recent Publications:

2017-
	Y. Wang, R. Idoughi, D. Rückert, R. Li, W. Heidrich: Adaptive Differentiable Grids for Cryo-Electron Tomography Reconstruction and Denoising Bioinformatics Advances, 2023 Project page
	R. Li, D. Rückert, Y. Wang, R. Idoughi, W. Heidrich: Neural Adaptive Scene Tracing (NAScenT) VMV, 2022 Project page
	D. Rückert, Y. Wang, R. Li, R. Idoughi, W. Heidrich: NeAT-Neural Adaptive Tomography ACM Transactions on Graphics (Proc. SIGGRAPH), 2022 Project page
	G. Zang, R. Idoughi, R. Li, P. Wonka, W. Heidrich: IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction ICCV, 2021 Project page
	R. Li*, S. Qiu*, G. Zang, W. Heidrich: Reflection Separation via Multi-bounce Polarization State Tracing ECCV, 2020 Project page
	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 Project page