Rihuan Ke

According to our database, Rihuan Ke authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning.

Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

Trans. Mach. Learn. Res., 2024

Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation Without Clean Data.

Rihuan Ke

IEEE Trans. Image Process., 2024

2022

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation.

Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb

IEEE Trans. Image Process., 2022

Unsupervised Image Restoration Using Partially Linear Denoisers.

Rihuan Ke, Carola-Bibiane Schönlieb

IEEE Trans. Pattern Anal. Mach. Intell., 2022

TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation.

Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero

CoRR, 2022

2021

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks.

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb

IEEE Trans. Image Process., 2021

2020

Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems.

Rihuan Ke, Michael K. Ng, Ting Wei

SIAM J. Matrix Anal. Appl., 2020

Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System.

Rihuan Ke, Roland Wagner, Ronny Ramlau, Raymond H. Chan

SIAM J. Imaging Sci., 2020

iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling.

Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb

CoRR, 2020

iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems.

Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Learning to Segment Microscopy Images with Lazy Labels.

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

A multi-task U-net for segmentation with lazy labels.

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb

CoRR, 2019

A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains.

Wen Li, Rihuan Ke, Wai-Ki Ching, Michael K. Ng

Comput. Math. Appl., 2019

2016

Characterization of Extreme Points of Multi-Stochastic Tensors.

Rihuan Ke, Wen Li, Mingqing Xiao

Comput. Methods Appl. Math., 2016

2015

A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations.

Rihuan Ke, Michael K. Ng, Hai-Wei Sun

J. Comput. Phys., 2015

2014

Preconditioning Techniques for Diagonal-times-Toeplitz Matrices in Fractional Diffusion Equations.

Jianyu Pan, Rihuan Ke, Michael K. Ng, Hai-Wei Sun

SIAM J. Sci. Comput., 2014