Peijun Zhao

According to our database, Peijun Zhao authored at least 33 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

IEEE Internet Things J., 2023

Research on Visual SLAM Navigation Techniques for Dynamic Environments.

Tongjun Wang, Peijun Zhao

Int. J. Distributed Sens. Networks, 2023

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing.

Fangqiang Ding, Zhen Luo, Peijun Zhao, Chris Xiaoxuan Lu

CoRR, 2023

Diastolic dysfunction assessed by cardiac magnetic resonance imaging tissue tracking on normal-thickness wall segments in hypertrophic cardiomyopathy.

Jinhan Qiao, Peijun Zhao, Jianyao Lu, Lu Huang, Xiaoling Ma, Xiaoyue Zhou, Liming Xia

BMC Medical Imaging, 2023

Degradation-Aware Transformer for Single Image Deraining.

Peijun Zhao, Tongjun Wang

IEEE Access, 2023

Motor Function Assessment of Children with Cerebral Palsy using Monocular Video.

Peijun Zhao, Moises Alencastre-Miranda, Zhan Shen, Ciaran O'Neill, David Whiteman, Javier Gervas-Arruga, Hermano Igo Krebs

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

mmPoint: Dense Human Point Cloud Generation from mmWave.

Qian Xie, Qianyi Deng, Ta Ying Cheng, Peijun Zhao, Amir Patel, Niki Trigoni, Andrew Markham

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

Human tracking and identification through a millimeter wave radar.

Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham

Ad Hoc Networks, 2021

3D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching.

Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

High-quality face image generation based on generative adversarial networks.

Zhixin Zhang, Xuhua Pan, Shuhao Jiang, Peijun Zhao

J. Vis. Commun. Image Represent., 2020

Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

IEEE Internet Things J., 2020

3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Niki Trigoni, Andrew Markham

CoRR, 2020

milliEgo: mmWave Aided Egomotion Estimation with Deep Sensor Fusion.

Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

CoRR, 2020

PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization.

Wei Wang, Bing Wang, Peijun Zhao, Changhao Chen, Ronald Clark, Bo Yang, Andrew Markham, Niki Trigoni

CoRR, 2020

Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

CoRR, 2020

milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.

Chris Xiaoxuan Lu, Muhamad Risqi Utama Saputra, Peijun Zhao, Yasin Almalioglu, Pedro P. B. de Gusmao, Changhao Chen, Ke Sun, Niki Trigoni, Andrew Markham

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

See through smoke: robust indoor mapping with low-cost mmWave radar.

Chris Xiaoxuan Lu, Stefano Rosa, Peijun Zhao, Bing Wang, Changhao Chen, John A. Stankovic, Niki Trigoni, Andrew Markham

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Heart Rate Sensing with a Robot Mounted mmWave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang, Changhao Chen, Linhai Xie, Mengyu Wang, Niki Trigoni, Andrew Markham

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

AtLoc: Attention Guided Camera Localization.

Bing Wang, Changhao Chen, Chris Xiaoxuan Lu, Peijun Zhao, Niki Trigoni, Andrew Markham

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Autonomous Learning of Speaker Identity and WiFi Geofence From Noisy Sensor Data.

Chris Xiaoxuan Lu, Yuanbo Xiangli, Peijun Zhao, Changhao Chen, Niki Trigoni, Andrew Markham

IEEE Internet Things J., 2019

DeepPCO: End-to-End Point Cloud Odometry through Deep Parallel Neural Network.

Wei Wang, Muhamad Risqi Utama Saputra, Peijun Zhao, Pedro P. B. de Gusmao, Bo Yang, Changhao Chen, Andrew Markham, Niki Trigoni

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

iSCAN: automatic speaker adaptation via iterative cross-modality association.

Yuanbo Xiangli, Chris Xiaoxuan Lu, Peijun Zhao, Changhao Chen, Andrew Markham

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

mID: Tracking and Identifying People with Millimeter Wave Radar.

Peijun Zhao, Chris Xiaoxuan Lu, Jianan Wang, Changhao Chen, Wei Wang, Niki Trigoni, Andrew Markham

Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

2018

OxIOD: The Dataset for Deep Inertial Odometry.

Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni

CoRR, 2018

Analyzing and Predicting Emoji Usages in Social Media.

Peijun Zhao, Jia Jia, Yongsheng An, Jie Liang, Lexing Xie, Jiebo Luo

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Automatic Face Recognition Adaptation via Ambient Wireless Identifiers.

Chris Xiaoxuan Lu, Peijun Zhao, Bowen Du, Hongkai Wen, Andrew Markham, Stefano Rosa, Niki Trigoni

Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Simultaneous Localization and Mapping with Power Network Electromagnetic Field.

Chris Xiaoxuan Lu, Yang Li, Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.

Chris Xiaoxuan Lu, Bowen Du, Peijun Zhao, Hongkai Wen, Yiran Shen, Andrew Markham, Niki Trigoni

Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018

2017

Inferring Emotional Tags From Social Images With User Demographics.

Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, Qi Tian

IEEE Trans. Multim., 2017

ViVo: Video-Augmented Dictionary for Vocabulary Learning.

Yeshuang Zhu, Yuntao Wang, Chun Yu, Shaoyun Shi, Yankai Zhang, Shuang He, Peijun Zhao, Xiaojuan Ma, Yuanchun Shi

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

One-Dimensional Handwriting: Inputting Letters and Words on Smart Glasses.

Chun Yu, Ke Sun, Mingyuan Zhong, Xincheng Li, Peijun Zhao, Yuanchun Shi

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Understanding the emotions behind social images: Inferring with user demographics.

Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015