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2020 – today
- 2024
[j11]Rihuan Ke
:
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation Without Clean Data. IEEE Trans. Image Process. 33: 2908-2923 (2024)- [j10]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) - 2022
- [j9]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5796-5812 (2022) - [j8]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: 1805-1815 (2022) - [i8]Rihuan Ke:
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data. CoRR abs/2209.09214 (2022) - [i7]Zhongying Deng, Rihuan Ke, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning. CoRR abs/2211.09593 (2022) - [i6]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 abs/2211.09620 (2022) - 2021
- [j7]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: 3555-3567 (2021) - 2020
- [j6]Rihuan Ke, Roland Wagner, Ronny Ramlau, Raymond H. Chan:
Reconstruction of the High Resolution Phase in a Closed Loop Adaptive Optics System. SIAM J. Imaging Sci. 13(2): 775-806 (2020) - [j5]Rihuan Ke, Michael K. Ng, Ting Wei:
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems. SIAM J. Matrix Anal. Appl. 41(4): 1857-1888 (2020) - [c2]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
Learning to Segment Microscopy Images with Lazy Labels. ECCV Workshops (1) 2020: 411-428 - [c1]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems. MLSP 2020: 1-6 - [i5]Christian Etmann, Rihuan Ke, Carola-Bibiane Schönlieb:
iUNets: Fully invertible U-Nets with Learnable Up- and Downsampling. CoRR abs/2005.05220 (2020) - [i4]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 abs/2005.13053 (2020) - [i3]Rihuan Ke, Carola-Bibiane Schönlieb:
Unsupervised Image Restoration Using Partially Linear Denoisers. CoRR abs/2008.06164 (2020) - [i2]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 abs/2012.00827 (2020)
2010 – 2019
- 2019
- [j4]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): 1008-1025 (2019) - [i1]Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schütz, Carola-Bibiane Schönlieb:
A multi-task U-net for segmentation with lazy labels. CoRR abs/1906.12177 (2019) - 2016
- [j3]Rihuan Ke, Wen Li, Mingqing Xiao:
Characterization of Extreme Points of Multi-Stochastic Tensors. Comput. Methods Appl. Math. 16(3): 459-474 (2016) - 2015
- [j2]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: 203-211 (2015) - 2014
- [j1]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)
Coauthor Index
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