Kun Zhao

39 papers A* 1A 1B 5Misc 4Journal 21Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
DIODE: Dilatable Incremental Object Detection.
Pattern Recognit.
Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
2022 B conf
Efficient Cell Labelling for Gram Stain WSIs.
ICPR
Sarah Alhammad, Teng Zhang, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
2022 — conf
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
ECCV (25)
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2022 J jnl
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
CoRR
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2021 J jnl
DIODE: Dilatable Incremental Object Detection.
CoRR
Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
2021 Misc conf
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.
DICTA
Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell
2021 Misc conf
Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology.
DICTA
Sarah Alhammad, Kun Zhao, Anthony Jennings, Peter Hobson, Daniel F. Smith, Brett Baker, Justin Staweno, Brian C. Lovell
2021 J jnl
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.
Comput. Vis. Image Underst.
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2021 J jnl
Scalable Bayesian Deep Learning with Kernel Seed Networks.
CoRR
Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell
2020 J jnl
Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN.
CoRR
Can Peng, Kun Zhao, Brian C. Lovell
2020 J jnl
Faster ILOD: Incremental learning for object detectors based on faster RCNN.
Pattern Recognit. Lett.
Can Peng, Kun Zhao, Brian C. Lovell
2020 J jnl
Omni-supervised joint detection and pose estimation for wild animals.
Pattern Recognit. Lett.
Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell
2020 J jnl
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation.
CoRR
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2020 A* conf
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.
CVPR
Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
2020 J jnl
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification.
CoRR
Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian C. Lovell
2019 — conf
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.
MICCAI (1)
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell
2019 J jnl
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels.
CoRR
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell
2019 J jnl
Convex class model on symmetric positive definite manifolds.
Image Vis. Comput.
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2019 B conf
Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks.
ICIP
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
2019 — conf
Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
MICCAI (1)
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
2019 J jnl
Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
CoRR
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
2019 J jnl
Deep inspection: an electrical distribution pole parts study via deep neural networks.
CoRR
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
2019 Misc conf
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
DICTA
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
2019 J jnl
To What Extent Does Downsampling, Compression, and Data Scarcity Impact Renal Image Analysis?
CoRR
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018 J jnl
Convex Class Model on Symmetric Positive Definite Manifolds.
CoRR
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2018 Misc conf
DGDI: A Dataset for Detecting Glomeruli on Renal Direct Immunofluorescence.
DICTA
Kun Zhao, Yu Ji Jerry Tang, Teng Zhang, Johanna Carvajal, Daniel F. Smith, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018 B conf
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks.
ICPR
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2018 J jnl
SlideNet: Fast and Accurate Slide Quality Assessment Based on Deep Neural Networks.
CoRR
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell
2017 — conf
An Early Experience Toward Developing Computer Aided Diagnosis for Gram-Stained Smears Images.
CVPR Workshops
Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Paul Finucane, Peter Hobson, Anthony Jennings, Rodney McDougall, Brian C. Lovell
2016 — conf
Determining the best attributes for surveillance video keywords generation.
ISBA
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
2016 J jnl
Determining the best attributes for surveillance video keywords generation.
CoRR
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
2016 J jnl
Efficient clustering on Riemannian manifolds: A kernelised random projection approach.
Pattern Recognit.
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
2016 — —
Fast and accurate image and video analysis on Riemannian manifolds
Kun Zhao
2016 B conf
Landmark manifold: Revisiting the Riemannian manifold approach for facial emotion recognition.
ICPR
Kun Zhao, Siqi Yang, Arnold Wiliem, Brian C. Lovell
2016 B conf
Manifold convex hull (MACH): Satisfying a need for SPD.
ICIP
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
2015 J jnl
Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach.
CoRR
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell
2015 — conf
Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition.
ISBA
Kun Zhao, Arnold Wiliem, Brian C. Lovell
2014 J jnl
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification.
CoRR
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson
2014 A conf
Random projections on manifolds of Symmetric Positive Definite matrices for image classification.
WACV
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson