Fei Wang

Orcid: 0000-0001-8296-8039

Affiliations:
  • Northeastern University, Faculty of Robot Science and Engineering, Shenyang, China
  • University of Tokushima, Japan (PhD 2004)


According to our database1, Fei Wang authored at least 29 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Efficient Stacking and Grasping in Unstructured Environments.
J. Intell. Robotic Syst., June, 2024

HFE-Net: hierarchical feature extraction and coordinate conversion of point cloud for object 6D pose estimation.
Neural Comput. Appl., February, 2024

A real-time CNN-BiLSTM-based classifier for patient-centered AR-SSVEP active rehabilitation exoskeleton system.
Expert Syst. Appl., 2024

FBN-TCN: Temporal convolutional neural network based on spatial domain fusion brain networks for affective brain-computer interfaces.
Biomed. Signal Process. Control., 2024

2023
CSCMOT: Multi-object tracking based on channel spatial cooperative attention mechanism.
Eng. Appl. Artif. Intell., November, 2023

TIM-SLR: a lightweight network for video isolated sign language recognition.
Neural Comput. Appl., October, 2023

A portable SSVEP-BCI system for rehabilitation exoskeleton in augmented reality environment.
Biomed. Signal Process. Control., May, 2023

KVNet: An iterative 3D keypoints voting network for real-time 6-DoF object pose estimation.
Neurocomputing, April, 2023

2022
A Hierarchical Path Planning Approach with Multi-SARSA Based on Topological Map.
Sensors, 2022

Deep Neural Network for Point Sets Based on Local Feature Integration.
Sensors, 2022

An approach based on 1D fully convolutional network for continuous sign language recognition and labeling.
Neural Comput. Appl., 2022

(2+1)D-SLR: an efficient network for video sign language recognition.
Neural Comput. Appl., 2022

Multi-domain fusion deep graph convolution neural network for EEG emotion recognition.
Neural Comput. Appl., 2022

2021
Keypoint-Based Robotic Grasp Detection Scheme in Multi-Object Scenes.
Sensors, 2021

A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition.
Neural Comput. Appl., 2021

A two-stage temporal proposal network for precise action localization in untrimmed video.
Int. J. Mach. Learn. Cybern., 2021

LHFF-Net: Local heterogeneous feature fusion network for 6DoF pose estimation.
Int. J. Mach. Learn. Cybern., 2021

PatchCNN: An Explicit Convolution Operator for Point Clouds Perception.
IEEE Geosci. Remote. Sens. Lett., 2021

Cornerstone network with feature extractor: a metric-based few-shot model for chinese natural sign language.
Appl. Intell., 2021

Real-Time Vision-Based Chinese Sign Language Recognition with Pose Estimation and Attention Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

Critical Information Selection for Affective Brain-computer Interfaces Based on Brain Function Networks.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

2020
Multiple nonlinear features fusion based driving fatigue detection.
Biomed. Signal Process. Control., 2020

An Adaptive Control Approach for Intelligent Wheelchair Based on BCI Combining with QoO.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
An Recognition-Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion.
Sensors, 2019

An Improved Point Cloud Descriptor for Vision Based Robotic Grasping System.
Sensors, 2019

SAST: Learning Semantic Action-Aware Spatial-Temporal Features for Efficient Action Recognition.
IEEE Access, 2019

A Bi-directional Interactive System of Sign Language and Visual Speech Based on Portable Devices.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Deep Learning Based Gesture Recognition and Its Application in Interactive Control of Intelligent Wheelchair.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

Cross-Subject EEG-Based Emotion Recognition with Deep Domain Confusion.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019


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