Yan Zhou

Orcid: 0000-0002-2372-4947

Affiliations:
  • Xiangtan University, School of Information Engineering, China
  • Shanghai Jiao Tong University, Department of Automation, China (PhD 2010)


According to our database1, Yan Zhou authored at least 41 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
DCMA-Net: dual cross-modal attention for fine-grained few-shot recognition.
Multim. Tools Appl., February, 2024

Multi-object tracking using context-sensitive enhancement via feature fusion.
Multim. Tools Appl., 2024

2023
MLST-Former: Multi-Level Spatial-Temporal Transformer for Group Activity Recognition.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Multi-directional feature refinement network for real-time semantic segmentation in urban street scenes.
IET Comput. Vis., June, 2023

Adversarial learning based intermediate feature refinement for semantic segmentation.
Appl. Intell., June, 2023

A Strip Dilated Convolutional Network for Semantic Segmentation.
Neural Process. Lett., 2023

2022
Salient feature network for semantic segmentation.
Signal Image Video Process., 2022

MobileYOLO: Real-Time Object Detection Algorithm in Autonomous Driving Scenarios.
Sensors, 2022

Multiple-Attention Mechanism Network for Semantic Segmentation.
Sensors, 2022

Taming mode collapse in generative adversarial networks using cooperative realness discriminators.
IET Image Process., 2022

Catastrophic Forgetting Problem in Semi-Supervised Semantic Segmentation.
IEEE Access, 2022

Lightweight Self-Attention Network for Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Self-attention feature fusion network for semantic segmentation.
Neurocomputing, 2021

Bilateral attention network for semantic segmentation.
IET Image Process., 2021

Integration of gradient guidance and edge enhancement into super-resolution for small object detection in aerial images.
IET Image Process., 2021

2019
A Hybrid Statistics-based Channel Pruning Method for Deep CNNs.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Moving Human Focus Inference Model for Action Recognition.
Proceedings of the IECON 2019, 2019

LANet: A Ladder Attention Network for Image Semantic Segmentation.
Proceedings of the IECON 2019, 2019

TwinsAdvNet : Adversarial Learning for Semantic Segmentation.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Human action recognition based on multi-mode spatial-temporal feature fusion.
Proceedings of the 22th International Conference on Information Fusion, 2019

2018
Action Recognition Based on Multi-feature Depth Motion Maps.
Proceedings of the IECON 2018, 2018

2017
Low-rate asynchronous UWB positioning based on Bayesian compressive sampling.
Proceedings of the IEEE International Conference on Information and Automation, 2017

2016
Hierarchical-IMM Based Maneuvering Target Tracking in LOS/NLOS Hybrid Environments.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Axial-Decoupled Indoor Positioning Based on Location Fingerprints.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Distributed multi-object localisation by consensus on compressive sampling received signal strength fingerprints.
IET Commun., 2015

2014
Consensus 3-D bearings-only tracking in switching senor networks.
Signal Process., 2014

An indirect Lyapunov approach to the observer-based robust control for fractional-order complex dynamic networks.
Neurocomputing, 2014

Robust Estimation Fusion in Wireless Senor Networks with Outliers and Correlated Noises.
Int. J. Distributed Sens. Networks, 2014

Energy-Efficient Target Tracking in Wireless Sensor Networks: A Quantized Measurement Fusion Framework.
Int. J. Distributed Sens. Networks, 2014

Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers.
Int. J. Distributed Sens. Networks, 2014

Sparse posterior probability support vector machines.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

A Bayesian Compressed Sensing Approach to Robust Object Localization in Wireless Sensor Networks.
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.
Int. J. Autom. Comput., 2013

Cross-layer design of quantized-innovation-based target tracking in wireless sensor networks.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Target tracking in wireless sensor networks using adaptive measurement quantization.
Sci. China Inf. Sci., 2012

2011
Binary tree of posterior probability support vector machines.
J. Zhejiang Univ. Sci. C, 2011

2010
Posterior CramÉr-Rao Lower Bounds for Target Tracking in Sensor Networks With Quantized Range-Only Measurements.
IEEE Signal Process. Lett., 2010

A scalable support vector machine for distributed classification in ad hoc sensor networks.
Neurocomputing, 2010

2009
Distributed Sigma-Point Kalman Filtering for Sensor Networks: Dynamic Consensus Approach.
Proceedings of the IEEE International Conference on Systems, 2009

Collaborative Maneuvering Target Tracking in Wireless Sensor Network with Quantized Measurements.
Proceedings of the IEEE International Conference on Systems, 2009

Quantized measurement fusion for target tracking in wireless sensor networks.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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