Dr Rihuan Ke
BSc, MSc, PhD
Current positions
Lecturer
School of Mathematics
Contact
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Research interests
My research interest lies in the fields of machine learning, mathematical image analysis, and scientific computing. My current research focuses on developing mathematical and data-driven models for analysing large-scale imaging data as well as their applications in material sciences, medical imaging, remote sensing, and astronomical imaging.
Publications
Selected publications
03/02/2022A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
IEEE Transactions on Image Processing
Unsupervised Image Restoration Using Partially Linear Denoisers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks
IEEE Transactions on Image Processing
IUNets: 30th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2020 - IEEE International Workshop on Machine Learning for Signal Processing, MLSP
Proceedings of the 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing, MLSP 2020
Learning to Segment Microscopy Images with Lazy Labels: Workshops held at the 16th European Conference on Computer Vision, ECCV 2020 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Computer Vision – ECCV 2020 Workshops, Proceedings
Recent publications
05/05/2026Learning-based Statistical Refinement for Denoising
Learning-based Statistical Refinement for Denoising
Vehicle detection from GSV imagery: Predicting travel behaviour for cycling and motorcycling using Computer Vision
Vehicle detection from GSV imagery
Deep Variation Prior: Joint Image Denoising and Noise Variance Estimation Without Clean Data
IEEE Transactions on Image Processing
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
NorMatch
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
IEEE Transactions on Image Processing