Rihuan Ke

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 19

Top Topics

Image Denoising

Partial Differential Equations

Image Restoration

Top Venues

IEEE Trans. Image Process.

ECCV Workshops (1)

Publications

Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. Trans. Mach. Learn. Res. 2024 (2024)
Rihuan Ke
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation Without Clean Data. IEEE Trans. Image Process. 33 (2024)
Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31 (2022)
Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR (2022)
Rihuan Ke
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data. CoRR (2022)
Rihuan Ke, Carola-Bibiane Schönlieb
Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Zhongying Deng, Yanqi Chen, Lihao Liu, Shujun Wang, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation. CoRR (2022)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks. IEEE Trans. Image Process. 30 (2021)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Mark Kirkland, Peter Schütz, Carola-Bibiane Schönlieb
Multi-task deep learning for image segmentation using recursive approximation tasks. CoRR (2020)
Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. MLSP (2020)
Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. CoRR (2020)
Rihuan Ke, Roland Wagner, Ronny Ramlau, Raymond Chan
Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System. SIAM J. Imaging Sci. 13 (2) (2020)
Rihuan Ke, Carola-Bibiane Schönlieb
Unsupervised Image Restoration Using Partially Linear Denoisers. CoRR (2020)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) (2020)
Rihuan Ke, Michael K. Ng, Ting Wei
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. SIAM J. Matrix Anal. Appl. 41 (4) (2020)
Rihuan Ke, Angelica I. Avilés-Rivero, Saurabh Pandey, Saikumar Reddy, Carola-Bibiane Schönlieb
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation. CoRR (2020)
Wen Li, Rihuan Ke, Wai-Ki Ching, Michael K. Ng
A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains. Comput. Math. Appl. 78 (3) (2019)
Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb
A multi-task U-net for segmentation with lazy labels. CoRR (2019)
Rihuan Ke, Wen Li, Mingqing Xiao
Characterization of Extreme Points of Multi-Stochastic Tensors. Comput. Methods Appl. Math. 16 (3) (2016)
Rihuan Ke, Michael K. Ng, Hai-Wei Sun
A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations. J. Comput. Phys. 303 (2015)
Jianyu Pan, Rihuan Ke, Michael K. Ng, Hai-Wei Sun
Preconditioning Techniques for Diagonal-times-Toeplitz Matrices in Fractional Diffusion Equations. SIAM J. Sci. Comput. 36 (6) (2014)