Kun Zhao

Orcid: 0000-0003-3193-8467

Affiliations:

University of Queensland, School of ITEE, Brisbane, Australia

According to our database¹, Kun Zhao authored at least 25 papers between 2014 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2023

DIODE: Dilatable Incremental Object Detection.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

2022

Efficient Cell Labelling for Gram Stain WSIs.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Few-Shot Class-Incremental Learning from an Open-Set Perspective.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2021

Scalable Bayesian Deep Learning with Kernel Seed Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.

[BibT_eX]

[DOI]

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology.

[BibT_eX]

[DOI]

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

Omni-supervised joint detection and pose estimation for wild animals.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Faster ILOD: Incremental learning for object detectors based on faster RCNN.

[BibT_eX]

[DOI]

Can Peng

Kun Zhao

Brian C. Lovell

Pattern Recognit. Lett., 2020

SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Convex class model on symmetric positive definite manifolds.

[BibT_eX]

[DOI]

Image Vis. Comput., 2019

CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Instance-Level Hard Negative Mining Model for Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks.

[BibT_eX]

[DOI]

Kieren Astin-Walmsley

Brian C. Lovell

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?

[BibT_eX]

[DOI]

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2018

SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence.

[BibT_eX]

[DOI]

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Fast and accurate image and video analysis on Riemannian manifolds

[BibT_eX]

[DOI]

Kun Zhao

PhD thesis, 2016

Efficient clustering on Riemannian manifolds: A kernelised random projection approach.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Determining the best attributes for surveillance video keywords generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Identity, 2016

Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Manifold convex hull (MACH): Satisfying a need for SPD.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition.

[BibT_eX]

[DOI]

Kun Zhao

Arnold Wiliem

Brian C. Lovell

Proceedings of the IEEE International Conference on Identity, 2015

2014

Random projections on manifolds of Symmetric Positive Definite matrices for image classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Kun Zhao

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