Kun Zhao

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 34

Top Topics

Object Detectors

Image Classification

Incremental Learning

Top Venues

Publications

Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
DIODE: Dilatable Incremental Object Detection. Pattern Recognit. 136 (2023)
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
Few-Shot Class-Incremental Learning from an Open-Set Perspective. CoRR (2022)
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
Few-Shot Class-Incremental Learning from an Open-Set Perspective. ECCV (25) (2022)
Sarah Alhammad, Teng Zhang, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
Efficient Cell Labelling for Gram Stain WSIs. ICPR (2022)
Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
DIODE: Dilatable Incremental Object Detection. CoRR (2021)
Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting. DICTA (2021)
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. Comput. Vis. Image Underst. 210 (2021)
Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell
Scalable Bayesian Deep Learning with Kernel Seed Networks. CoRR (2021)
Sarah Alhammad, Kun Zhao, Anthony Jennings, Peter Hobson, Daniel F. Smith, Brett Baker, Justin Staweno, Brian C. Lovell
Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. DICTA (2021)
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation. CoRR (2020)
Can Peng, Kun Zhao, Brian C. Lovell
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. CoRR (2020)
Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell
Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognit. Lett. 132 (2020)
Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. CVPR (2020)
Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. CoRR (2020)
Can Peng, Kun Zhao, Brian C. Lovell
Faster ILOD: Incremental learning for object detectors based on faster RCNN. Pattern Recognit. Lett. 140 (2020)
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. ICIP (2019)
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. CoRR (2019)
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Convex class model on symmetric positive definite manifolds. Image Vis. Comput. 87 (2019)
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? DICTA (2019)
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis? CoRR (2019)
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. CoRR (2019)
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels. MICCAI (1) (2019)
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
Deep Instance-Level Hard Negative Mining Model for Histopathology Images. MICCAI (1) (2019)
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
Deep inspection: an electrical distribution pole parts study via deep neural networks. CoRR (2019)
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Convex Class Model on Symmetric Positive Definite Manifolds. CoRR (2018)
Kun Zhao, Yu Ji Jerry Tang, Teng Zhang, Johanna Carvajal, Daniel F. Smith, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence. DICTA (2018)
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. CoRR (2018)
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks. ICPR (2018)
Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell
An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images. CVPR Workshops (2017)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
Determining the best attributes for surveillance video keywords generation. CoRR (2016)
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Manifold convex hull (MACH): Satisfying a need for SPD. ICIP (2016)
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
Efficient clustering on Riemannian manifolds: A kernelised random projection approach. Pattern Recognit. 51 (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
Determining the best attributes for surveillance video keywords generation. ISBA (2016)
Kun Zhao, Siqi Yang, Arnold Wiliem, Brian C. Lovell
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition. ICPR (2016)
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach. CoRR (2015)
Kun Zhao, Arnold Wiliem, Brian C. Lovell
Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. ISBA (2015)
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. CoRR (2014)
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson
Random projections on manifolds of Symmetric Positive Definite matrices for image classification. WACV (2014)