Dr Kun Zhao
Research Fellow
School of Information Technology and Electrical Engineering
Journal Articles
Peng, Can, Zhao, Kun, Maksoud, Sam, Wang, Tianren and Lovell, Brian C. (2023). DIODE: dilatable incremental object detection. Pattern Recognition, 136 109244. doi: 10.1016/j.patcog.2022.109244
Peng, Can, Zhao, Kun, Maksoud, Sam, Li, Meng and Lovell, Brian C. (2021). SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation. Computer Vision and Image Understanding, 210 103229, 103229. doi: 10.1016/j.cviu.2021.103229
Peng, Can, Zhao, Kun and Lovell, Brian C. (2020). Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN. Pattern Recognition Letters, 140, 109-115. doi: 10.1016/j.patrec.2020.09.030
Zhang, Teng, Liu, Liangchen, Zhao, Kun, Wiliem, Arnold, Hemson, Graham and Lovell, Brian (2020). Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognition Letters, 132, 84-90. doi: 10.1016/j.patrec.2018.11.002
Zhao, Kun, Wiliem, Arnold, Chen, Shaokang and Lovell, Brian C. (2019). Convex class model on symmetric positive definite manifolds. Image and Vision Computing, 87, 57-67. doi: 10.1016/j.imavis.2019.04.005
Zhao, Kun, Alavi, Azadeh, Wiliem, Arnold and Lovell, Brian C. (2015). Efficient clustering on Riemannian manifolds: A kernelised random projection approach. Pattern Recognition, 51, 333-345. doi: 10.1016/j.patcog.2015.09.017
Conference Papers
Alhammad, Sarah, Zhao, Kun, Jennings, Anthony, Hobson, Peter, Smith, Daniel F., Baker, Brett, Staweno, Justin and Lovell, Brian C. (2021). Efficient DNN-Based Classification of Whole Slide Gram Stain Images for Microbiology. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647415
Li, Meng, Zhao, Kun, Peng, Can, Hobson, Peter, Jennings, Tony and Lovell, Brian C. (2021). Deep adaptive few example learning for microscopy image cell counting. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, Australia, 29 November - 1 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/DICTA52665.2021.9647246
Maksoud, Sam, Zhao, Kun, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2020). SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA United States, 13-19 June 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/cvpr42600.2020.00392
Li, Meng, Wu, Lin, Wiliem, Arnold, Zhao, Kun, Zhang, Teng and Lovell, Brian (2019). Deep instance-level hard negative mining model for histopathology images. MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Shenzhen, China, 13-17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-32239-7_57
Peng, Can, Zhao, Kun, Wiliem, Arnold, Zhang, Teng, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). To what extent does downsampling, compression, and data scarcity impact renal image analysis?. 2019 Digital Image Computing: Techniques and Applications (DICTA), Perth, WA Australia, 2-4 December 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA47822.2019.8945813
Zhao, Kun, Tang, Yu Ji Jerry, Zhang, Teng, Carvajal, Johanna, Smith, Daniel F., Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2019). DGDI: a dataset for detecting glomeruli on renal direct immunofluorescence. 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Canberra, ACT, Australia, 10-13 December 2018. New York, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2018.8615769
Liu, Liangchen, Zhang, Teng, Zhao, Kun, Wiliem, Arnold, Astin-Walmsley, Kieren and Lovell, Brian (2019). Deep inspection: an electrical distribution pole parts study VIA deep neural networks. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 22-25 September 2019. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICIP.2019.8803415
Maksoud, Sam, Wiliem, Arnold, Zhao, Kun, Zhang, Teng, Wu, Lin and Lovell, Brian (2019). CORAL8: Concurrent object regression for area localization in medical image panels. MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention, Shenzhen, China, 13-17 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-32239-7_48
Zhang, Teng, Carvajal, Johanna, Smith, Daniel F., Zhao, Kun, Wiliem, Arnold, Hobson, Peter, Jennings, Anthony and Lovell, Brian C. (2018). SlideNet: fast and accurate slide quality assessment based on deep neural networks. 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, 20 - 24 August 2018. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICPR.2018.8546205
Zhao, Kun, Yang, Siqi, Wiliem, Arnold and Lovell, Brian C. (2017). Landmark manifold: revisiting the Riemannian manifold approach for facial emotion recognition. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 4-8 December 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/ICPR.2016.7899782
Carvajal, Johanna, Smith, Daniel F., Zhao, Kun, Wiliem, Arnold, Finucane, Paul, Hobson, Peter, Jennings, Anthony, McDougall, Rodney and Lovell, Brian (2017). An early experience toward developing computer aided diagnosis for gram-stained smears images. 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Honolulu, HI, United States, 21-26 July 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/CVPRW.2017.113
Zhao, Kun, Wiliem, Arnold, Chen, Shaokang and Lovell, Brian C. (2016). Manifold convex hull (MACH): satisfying a need for SPD. 23rd IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, United States, 25-28 September 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICIP.2016.7532357
Liu, Liangchen, Wiliem, Arnold, Chen, Shaokang, Zhao, Kun and Lovell, Brian C. (2016). Determining the best attributes for surveillance video keywords generation. 2nd IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2016, Sendai, Japan, 29 February - 2 March 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISBA.2016.7477239
Zhao, Kun, Wiliem, Arnold and Lovell, Brian (2015). Kernelised orthonormal random projection on grassmann manifolds with applications to action and gait-based gender recognition. 2015 IEEE International Conference on Identity, Security and Behavior Analysis, ISBA 2015, Hong Kong, March 23-25, 2015. Piscataway, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ISBA.2015.7126348
Alavi, Azadeh, Wiliem, Arnold, Zhao, Kun, Lovell, Brian C. and Sanderson, Conrad (2014). Random projections on manifolds of symmetric positive definite matrices for image classification. IEEE Winter Conference on Applications of Computer Vision (WACV 2014), Steamboat Springs, CO, United States, 24-26 March 2014. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV.2014.6836085
Preprint
Thesis
Zhao, Kun (2016). Fast and accurate image and video analysis on Riemannian manifolds. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2017.11