Chuanfei Hu

According to our database1, Chuanfei Hu authored at least 13 papers between 2020 and 2022.

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

Timeline

Legend:

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Bibliography

2022
Spatial-Temporal Feature Fusion Neural Network for EEG-Based Emotion Recognition.
IEEE Trans. Instrum. Meas., 2022

Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning.
CoRR, 2022

ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition.
CoRR, 2022

An Anomaly Detection Method Based on Self-Supervised Learning with Soft Label Assignment for Defect Visual Inspection.
Proceedings of the IEEE International Conference on Acoustics, 2022

TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
BCNet: Bidirectional collaboration network for edge-guided salient object detection.
Neurocomputing, 2021

Contrastive Representation For Few-Shot Vehicle Footprint Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

A Semantic-Enhanced Method Based On Deep SVDD for Pixel-Wise Anomaly Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
An Efficient Convolutional Neural Network Model Based on Object-Level Attention Mechanism for Casting Defect Detection on Radiography Images.
IEEE Trans. Ind. Electron., 2020

Self-attention guided model for defect detection of aluminium alloy casting on X-ray image.
Comput. Electr. Eng., 2020

A CNN Model for Herb Identification Based on Part Priority Attention Mechanism.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A saliency-guided clothing attribute recognition method by fusing salient prior information.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Salient Object Detection with Boundary Information.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020


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