Jinshen Wang

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CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection
Duan, Y., Ouyang, T. & Wang, J., Jul 2023, In: Remote Sensing. 15, 13, 3357.
Research output: Contribution to journal › Article › peer-review

Open Access
6 Link opens in a new tab Scopus citations
An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5
Chen, K., Li, H., Li, C., Zhao, X., Wu, S., Duan, Y. & Wang, J., Oct 2022, In: Sensors. 22, 20, 7907.
Research output: Contribution to journal › Article › peer-review

Open Access
62 Link opens in a new tab Scopus citations
SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral Anomaly Detection
Wang, J., Ouyang, T., Duan, Y. & Cui, L., Nov 2022, In: Remote Sensing. 14, 21, 5555.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Link opens in a new tab Scopus citations
Hole repairing algorithm for 3d point cloud model of symmetrical objects grasped by the manipulator
Cui, L., Zhang, G. & Wang, J., 1 Nov 2021, In: Sensors. 21, 22, 7558.
Research output: Contribution to journal › Article › peer-review

Open Access
12 Link opens in a new tab Scopus citations
LSTM-ADVERSARIAL AUTOENCODER FOR SPECTRAL FEATURE LEARNING IN HYPERSPECTRAL ANOMALY DETECTION
Ouyang, T., Wang, J., Zhao, X. & Wu, S., 2021, IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2162-2165 4 p. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2021-July).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Link opens in a new tab Scopus citations

Jinshen Wang

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Collaborations and top research areas from the last five years

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CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection

An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral Anomaly Detection

Hole repairing algorithm for 3d point cloud model of symmetrical objects grasped by the manipulator

LSTM-ADVERSARIAL AUTOENCODER FOR SPECTRAL FEATURE LEARNING IN HYPERSPECTRAL ANOMALY DETECTION

Jinshen Wang

Fingerprint

Collaborations and top research areas from the last five years

Research output

CRNN: Collaborative Representation Neural Networks for Hyperspectral Anomaly Detection

An Automatic Defect Detection System for Petrochemical Pipeline Based on Cycle-GAN and YOLO v5

SAOCNN: Self-Attention and One-Class Neural Networks for Hyperspectral Anomaly Detection

Hole repairing algorithm for 3d point cloud model of symmetrical objects grasped by the manipulator

LSTM-ADVERSARIAL AUTOENCODER FOR SPECTRAL FEATURE LEARNING IN HYPERSPECTRAL ANOMALY DETECTION