Yan Zhou

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Salient feature network for semantic segmentation.

[BibT_eX]

[DOI]

Signal Image Video Process., 2022

MobileYOLO: Real-Time Object Detection Algorithm in Autonomous Driving Scenarios.

[BibT_eX]

[DOI]

Sensors, 2022

Multiple-Attention Mechanism Network for Semantic Segmentation.

[BibT_eX]

[DOI]

Sensors, 2022

Taming mode collapse in generative adversarial networks using cooperative realness discriminators.

[BibT_eX]

[DOI]

IET Image Process., 2022

Catastrophic Forgetting Problem in Semi-Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2022

Lightweight Self-Attention Network for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Self-attention feature fusion network for semantic segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Bilateral attention network for semantic segmentation.

[BibT_eX]

[DOI]

IET Image Process., 2021

Integration of gradient guidance and edge enhancement into super-resolution for small object detection in aerial images.

[BibT_eX]

[DOI]

IET Image Process., 2021

2019

A Hybrid Statistics-based Channel Pruning Method for Deep CNNs.

[BibT_eX]

[DOI]

Guangyi Liu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Moving Human Focus Inference Model for Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IECON 2019, 2019

LANet: A Ladder Attention Network for Image Semantic Segmentation.

[BibT_eX]

[DOI]

Bo Wang

Proceedings of the IECON 2019, 2019

TwinsAdvNet : Adversarial Learning for Semantic Segmentation.

[BibT_eX]

[DOI]

Bo Wang

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Human action recognition based on multi-mode spatial-temporal feature fusion.

[BibT_eX]

[DOI]

Jun Yang

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Action Recognition Based on Multi-feature Depth Motion Maps.

[BibT_eX]

[DOI]

Fang Ou

Proceedings of the IECON 2018, 2018

2017

Low-rate asynchronous UWB positioning based on Bayesian compressive sampling.

[BibT_eX]

[DOI]

Cong Zhou

Proceedings of the IEEE International Conference on Information and Automation, 2017

2016

Hierarchical-IMM Based Maneuvering Target Tracking in LOS/NLOS Hybrid Environments.

[BibT_eX]

[DOI]

Lan Hu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Axial-Decoupled Indoor Positioning Based on Location Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Distributed multi-object localisation by consensus on compressive sampling received signal strength fingerprints.

[BibT_eX]

[DOI]

IET Commun., 2015

2014

Consensus 3-D bearings-only tracking in switching senor networks.

[BibT_eX]

[DOI]

Signal Process., 2014

An indirect Lyapunov approach to the observer-based robust control for fractional-order complex dynamic networks.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Robust Estimation Fusion in Wireless Senor Networks with Outliers and Correlated Noises.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers.

[BibT_eX]

[DOI]

Int. J. Distributed Sens. Networks, 2014

Sparse posterior probability support vector machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A Bayesian Compressed Sensing Approach to Robust Object Localization in Wireless Sensor Networks.

[BibT_eX]

[DOI]

Yanhua Wei

Proceedings of the IEEE Third International Conference on Mobile Services, Anchorage, AK, USA, June 27, 2014

2013

Non-fragile Observer Design for Fractional-order One-sided Lipschitz Nonlinear Systems.

[BibT_eX]

[DOI]

Int. J. Autom. Comput., 2013

Cross-layer design of quantized-innovation-based target tracking in wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

Target tracking in wireless sensor networks using adaptive measurement quantization.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2012

2011

Binary tree of posterior probability support vector machines.

[BibT_eX]

[DOI]

Jianguo Zheng

J. Zhejiang Univ. Sci. C, 2011

2010

Posterior CramÉr-Rao Lower Bounds for Target Tracking in Sensor Networks With Quantized Range-Only Measurements.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2010

A scalable support vector machine for distributed classification in ad hoc sensor networks.

[BibT_eX]

[DOI]

Neurocomputing, 2010

2009

Distributed Sigma-Point Kalman Filtering for Sensor Networks: Dynamic Consensus Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

Collaborative Maneuvering Target Tracking in Wireless Sensor Network with Quantized Measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2009

Quantized measurement fusion for target tracking in wireless sensor networks.

[BibT_eX]

[DOI]