Random projections on manifolds of Symmetric Positive Definite matrices for image classification. - Azadeh Alavi; Arnold Wiliem; Kun Zhao 001; Brian C. Lovell; Conrad Sanderson (WACV, 2014)

Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. - Kun Zhao 001; Arnold Wiliem; Brian C. Lovell (ISBA, 2015)

Manifold convex hull (MACH): Satisfying a need for SPD. - Kun Zhao 001; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (ICIP, 2016)

Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition. - Kun Zhao 001; Siqi Yang 001; Arnold Wiliem; Brian C. Lovell (ICPR, 2016)

Determining the best attributes for surveillance video keywords generation. - Liangchen Liu; Arnold Wiliem; Shaokang Chen; Kun Zhao 001; Brian C. Lovell (ISBA, 2016)

Efficient clustering on Riemannian manifolds: A kernelised random projection approach. - Kun Zhao 001; Azadeh Alavi; Arnold Wiliem; Brian C. Lovell (Pattern Recognit., 2016)

Fast and accurate image and video analysis on Riemannian manifolds - Kun Zhao 001 (2016)

An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. - Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Paul Finucane; Peter Hobson; Anthony Jennings; Rodney McDougall; Brian C. Lovell (CVPR Workshops, 2017)

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. - Kun Zhao 001; Yu Ji Jerry Tang; Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2018)

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. - Teng Zhang 004; Johanna Carvajal; Daniel F. Smith; Kun Zhao 001; Arnold Wiliem; Peter Hobson; Anthony Jennings; Brian C. Lovell (ICPR, 2018)

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? - Can Peng; Kun Zhao 001; Arnold Wiliem; Teng Zhang 004; Peter Hobson; Anthony Jennings; Brian C. Lovell (DICTA, 2019)

Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. - Liangchen Liu; Teng Zhang 004; Kun Zhao 001; Arnold Wiliem; Kieren Astin-Walmsley; Brian C. Lovell (ICIP, 2019)

Deep Instance-Level Hard Negative Mining Model for Histopathology Images. - Meng Li; Lin Wu 001; Arnold Wiliem; Kun Zhao 001; Teng Zhang 004; Brian C. Lovell (MICCAI (1), 2019)

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. - Sam Maksoud; Arnold Wiliem; Kun Zhao 001; Teng Zhang 004; Lin Wu 001; Brian C. Lovell (MICCAI (1), 2019)

Convex class model on symmetric positive definite manifolds. - Kun Zhao 001; Arnold Wiliem; Shaokang Chen; Brian C. Lovell (Image Vis. Comput., 2019)

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. - Sam Maksoud; Kun Zhao 001; Peter Hobson; Anthony Jennings; Brian C. Lovell (CVPR, 2020)

Faster ILOD: Incremental learning for object detectors based on faster RCNN. - Can Peng; Kun Zhao 001; Brian C. Lovell (Pattern Recognit. Lett., 2020)

Omni-supervised joint detection and pose estimation for wild animals. - Teng Zhang 004; Liangchen Liu; Kun Zhao 001; Arnold Wiliem; Graham Hemson; Brian C. Lovell (Pattern Recognit. Lett., 2020)

Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. - Sarah Alhammad; Kun Zhao 001; Anthony Jennings; Peter Hobson; Daniel F. Smith; Brett Baker; Justin Staweno; Brian C. Lovell (DICTA, 2021)

Deep Adaptive Few Example Learning for Microscopy Image Cell Counting. - Meng Li; Kun Zhao 001; Can Peng; Peter Hobson; Tony Jennings; Brian C. Lovell (DICTA, 2021)

Scalable Bayesian Deep Learning with Kernel Seed Networks. - Sam Maksoud; Kun Zhao 001; Can Peng; Brian C. Lovell (CoRR, 2021)

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. - Can Peng; Kun Zhao 001; Sam Maksoud; Meng Li; Brian C. Lovell (Comput. Vis. Image Underst., 2021)

Few-Shot Class-Incremental Learning from an Open-Set Perspective. - Can Peng; Kun Zhao 001; Tianren Wang; Meng Li; Brian C. Lovell (ECCV (25), 2022)

Efficient Cell Labelling for Gram Stain WSIs. - Sarah Alhammad; Teng Zhang 004; Kun Zhao 001; Peter Hobson; Anthony Jennings; Brian C. Lovell (ICPR, 2022)

DIODE: Dilatable Incremental Object Detection. - Can Peng; Kun Zhao 001; Sam Maksoud; Tianren Wang; Brian C. Lovell (Pattern Recognit., 2023)