Peijun Zhao
Orcid: 0000-0003-2843-6941
According to our database1,
Peijun Zhao
authored at least 39 papers
between 2015 and 2024.
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Bibliography
2024
Improving Robustness of High-Low-Order Coupled Networks against Malicious Attacks Based on a Simulated Annealing Algorithm.
Entropy, January, 2024
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.
CoRR, 2024
J. Complex Networks, 2024
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing.
Proceedings of the Computer Vision - ECCV 2024, 2024
Distilling Knowledge in Vision-Based Human Motor Assessment for Improved Accuracy and Running Efficiency.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024
Modeling Uncertainty in Computer Vision Based Gross Motor Function Assessment of Children with Cerebral Palsy.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024
2023
CubeLearn: End-to-End Learning for Human Motion Recognition From Raw mmWave Radar Signals.
IEEE Internet Things J., 2023
Int. J. Distributed Sens. Networks, 2023
Diastolic dysfunction assessed by cardiac magnetic resonance imaging tissue tracking on normal-thickness wall segments in hypertrophic cardiomyopathy.
BMC Medical Imaging, 2023
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2021
Ad Hoc Networks, 2021
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
J. Vis. Commun. Image Represent., 2020
Deep-Learning-Based Pedestrian Inertial Navigation: Methods, Data Set, and On-Device Inference.
IEEE Internet Things J., 2020
CoRR, 2020
Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference.
CoRR, 2020
milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
IEEE Internet Things J., 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
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
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019
2018
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018
Deepauth: in-situ authentication for smartwatches via deeply learned behavioural biometrics.
Proceedings of the 2018 ACM International Symposium on Wearable Computers, 2018
2017
IEEE Trans. Multim., 2017
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017
2016
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016
2015
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015