Preconditioning techniques for diagonal-times-Toeplitz matrices in fractional diffusion equations J Pan, R Ke, MK Ng, HW Sun SIAM Journal on Scientific Computing 36 (6), A2698-A2719, 2014 | 153 | 2014 |
A fast direct method for block triangular Toeplitz-like with tri-diagonal block systems from time-fractional partial differential equations R Ke, MK Ng, HW Sun Journal of Computational Physics 303, 203-211, 2015 | 96 | 2015 |
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation R Ke, AI Aviles-Rivero, S Pandey, S Reddy, CB Schönlieb IEEE Transactions on Image Processing 31, 1805-1815, 2022 | 59 | 2022 |
iUNets: learnable invertible up-and downsampling for large-scale inverse problems C Etmann, R Ke, CB Schönlieb 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 29 | 2020 |
Learning to segment microscopy images with lazy labels R Ke, A Bugeau, N Papadakis, P Schuetz, CB Schönlieb European Conference on Computer Vision, 411-428, 2020 | 26* | 2020 |
Multi-task deep learning for image segmentation using recursive approximation tasks R Ke, A Bugeau, N Papadakis, M Kirkland, P Schuetz, CB Schönlieb IEEE Transactions on Image Processing 30, 3555-3567, 2021 | 25 | 2021 |
iUNets: Fully invertible U-Nets with Learnable Up-and Downsampling C Etmann, R Ke, CB Schönlieb arXiv preprint arXiv:2005.05220, 2020 | 19 | 2020 |
Characterization of extreme points of multi-stochastic tensors R Ke, W Li, M Xiao Computational Methods in Applied Mathematics 16 (3), 459-474, 2016 | 18 | 2016 |
Unsupervised Image Restoration Using Partially Linear Denoisers R Ke, CB Schonlieb IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 15 | 2021 |
Numerical ranges of tensors R Ke, W Li, MK Ng Linear Algebra and its Applications 508, 100-132, 2016 | 13 | 2016 |
Efficient Preconditioning for Time Fractional Diffusion Inverse Source Problems R Ke, MK Ng, T Wei SIAM Journal on Matrix Analysis and Applications 41 (4), 1857-1888, 2020 | 9 | 2020 |
A C-eigenvalue problem for tensors with applications to higher-order multivariate Markov chains W Li, R Ke, WK Ching, MK Ng Computers & Mathematics with Applications 78 (3), 1008-1025, 2019 | 8 | 2019 |
TrafficCAM: A versatile dataset for traffic flow segmentation Z Deng, Y Chen, L Liu, S Wang, R Ke, CB Schonlieb, AI Aviles-Rivero arXiv preprint arXiv:2211.09620, 2022 | 5 | 2022 |
Backward errors of the linear complementarity problem XP Wu, RH Ke Numerical Algorithms 83 (3), 1249-1257, 2020 | 3 | 2020 |
Reconstruction of the high resolution phase in a closed loop adaptive optics system R Ke, R Wagner, R Ramlau, R Chan SIAM Journal on Imaging Sciences 13 (2), 775-806, 2020 | 3 | 2020 |
On the extreme points of slice-stochastic tensors Y Liang, R Ke, W Li, LB Cui Linear and Multilinear Algebra 70 (19), 3969-3981, 2022 | 1 | 2022 |
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation without Clean Data R Ke IEEE Transactions on Image Processing, 2024 | | 2024 |
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning Z Deng, R Ke, CB Schonlieb, AI Aviles-Rivero Transactions on Machine Learning Research, 2024 | | 2024 |