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Kun Zhao

Cascaded Residual Density Network for Crowd Counting


Jul 29, 2021
Kun Zhao, Luchuan Song, Bin Liu, Qi Chu, Nenghai Yu

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Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph


Apr 30, 2021
Chi-Man Wong, Fan Feng, Wen Zhang, Chi-Man Vong, Hui Chen, Yichi Zhang, Peng He, Huan Chen, Kun Zhao, Huajun Chen

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* Paper is accepted by ICDE2021 industry track 
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Scalable Bayesian Deep Learning with Kernel Seed Networks


Apr 19, 2021
Sam Maksoud, Kun Zhao, Can Peng, Brian C. Lovell

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* Under review 
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A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images


Mar 16, 2021
Hongjie He, Ke Yang, Yuwei Cai, Zijian Jiang, Qiutong Yu, Kun Zhao, Junbo Wang, Sarah Narges Fatholahi, Yan Liu, Hasti Andon Petrosians, Bingxu Hu, Liyuan Qing, Zhehan Zhang, Hongzhang Xu, Siyu Li, Linlin Xu, Jonathan Li

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Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network


Feb 26, 2021
Chen Li, JinZhe Jiang, YaQian Zhao, RenGang Li, EnDong Wang, Xin Zhang, Kun Zhao

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* 20 pages, 5 figures 
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Polynomial Trajectory Predictions for Improved Learning Performance


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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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