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Polynomial Trajectory Predictions for Improved Learning Performance

Jan 29, 2021
Ido Freeman, Kun Zhao, Anton Kummert

* Submitted to IEEE ICIP 2021 

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SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation

Dec 31, 2020
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell


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Bounding Boxes Are All We Need: Street View Image Classification via Context Encoding of Detected Buildings

Oct 12, 2020
Kun Zhao, Yongkun Liu, Siyuan Hao, Shaoxing Lu, Hongbin Liu, Lijian Zhou

* Figure 1 has been added, and the order of the rest of the figures continues. Figure 6 (Figure 5 of the previous version) and Figure 7 (Figure 6 of the previous version) have been modified. Figure 7, Figure 15, and Figure 16 of the previous versionhave have been removed. The structure of Section 4 has been adjusted 

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PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information

Oct 02, 2020
Thomas Kurbiel, Akash Sachdeva, Kun Zhao, Markus Buehren

* 8 pages, 9 figures 

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Learning to Estimate Driver Drowsiness from Car Acceleration Sensors using Weakly Labeled Data

May 12, 2020
Takayuki Katsuki, Kun Zhao, Takayuki Yoshizumi

* Accepted by ICASSP2020 

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

Mar 11, 2020
Sam Maksoud, Kun Zhao, Peter Hobson, Anthony Jennings, Brian Lovell

* Accepted for publication at CVPR2020 

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Faster ILOD: Incremental Learning for Object Detectors based on Faster RCNN

Mar 09, 2020
Can Peng, Kun Zhao, Brian C. Lovell

* This paper is submitted to Pattern Recognition Letters 

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

Sep 22, 2019
Can Peng, Kun Zhao, Arnold Wiliem, Teng Zhang, Peter Hobson, Anthony Jennings, Brian C. Lovell


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Deep inspection: an electrical distribution pole parts study via deep neural networks

Jul 16, 2019
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian Lovell

* electrical distribution pole inspection, integrated inspection system, object detection, imbalanced data classification, To appear in Proceeding of ICIP 2019 

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Visual analytics for team-based invasion sports with significant events and Markov reward process

Jul 02, 2019
Kun Zhao, Takayuki Osogami, Tetsuro Morimura

* 8 pages, 10 figures 

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Deep Instance-Level Hard Negative Mining Model for Histopathology Images

Jun 27, 2019
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

* Accepted by MICCAI 2019 

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

Jun 24, 2019
Sam Maksoud, Arnold Wiliem, Kun Zhao, Teng Zhang, Lin Wu, Brian C. Lovell

* Accepted for MICCAI 2019 

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Convex Class Model on Symmetric Positive Definite Manifolds

Jun 14, 2018
Kun Zhao, Arnold Wiliem, Shaokang Chen, Brian C. Lovell


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

Mar 20, 2018
Teng Zhang, Johanna Carvajal, Daniel F. Smith, Kun Zhao, Arnold Wiliem, Peter Hobson, Anthony Jennings, Brian C. Lovell


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Lung Nodule Classification by the Combination of Fusion Classifier and Cascaded Convolutional Neural Networks

Dec 18, 2017
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama

* Draft of ISBI2018. arXiv admin note: text overlap with arXiv:1703.00311 

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Multi-stage Neural Networks with Single-sided Classifiers for False Positive Reduction and its Evaluation using Lung X-ray CT Images

Mar 21, 2017
Masaharu Sakamoto, Hiroki Nakano, Kun Zhao, Taro Sekiyama

* arXiv admin note: text overlap with arXiv:1611.07136 

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Topic Modeling the Hàn diăn Ancient Classics

Feb 02, 2017
Colin Allen, Hongliang Luo, Jaimie Murdock, Jianghuai Pu, Xiaohong Wang, Yanjie Zhai, Kun Zhao

* 24 pages; 14 pages supplemental 

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Determining the best attributes for surveillance video keywords generation

Feb 21, 2016
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell

* 7 pages, ISBA 2016. arXiv admin note: text overlap with arXiv:1602.01940 

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Efficient Clustering on Riemannian Manifolds: A Kernelised Random Projection Approach

Sep 18, 2015
Kun Zhao, Azadeh Alavi, Arnold Wiliem, Brian C. Lovell


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Temporal Embedding in Convolutional Neural Networks for Robust Learning of Abstract Snippets

Feb 18, 2015
Jiajun Liu, Kun Zhao, Brano Kusy, Ji-rong Wen, Raja Jurdak

* a submission to kdd 15' 

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Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification

Mar 04, 2014
Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson

* IEEE Winter Conference on Applications of Computer Vision (WACV), 2014 

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