Hongjun Li
Orcid: 0000-0001-7500-4979Affiliations:
- Nantong University, School of Information Science and Technology, Jiangsu, China
- Concordia University, Centre for Pattern Recognition and Machine Intelligence (CENPARMI), Montreal, QC, Canada (2013-2014)
- Nanjing University of Aeronautics and Astronautics, Nanjing, China (PhD 2011)
According to our database1,
Hongjun Li
authored at least 41 papers
between 2014 and 2025.
Collaborative distances:
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Bibliography
2025
Multim. Tools Appl., July, 2025
Multim. Tools Appl., March, 2025
IEEE Trans. Multim., 2025
A multi-memory-augmented network with a curvy metric method for video anomaly detection.
Neural Networks, 2025
Digit. Signal Process., 2025
2024
Signal Image Video Process., November, 2024
Channel based approach via faster dual prediction network for video anomaly detection.
Multim. Tools Appl., October, 2024
Spatiotemporal heterogeneous information fusion model for loitering anomaly detection.
Signal Image Video Process., September, 2024
A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis.
Sensors, July, 2024
Multim. Tools Appl., May, 2024
MTM-net: a multidimensional two-stage memory-guided network for vedio abnormal detection.
Multim. Tools Appl., May, 2024
Multim. Tools Appl., April, 2024
TMTB: Transformer based multi-task branching multi-object tracking algorithm for wide-view scenes.
Multim. Tools Appl., April, 2024
Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection.
Neural Networks, 2024
Big Data Cogn. Comput., 2024
Research on the Identification of Common Economic Shellfish in Jiangsu Based on Fused-ResNet Network.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024
2023
Multim. Tools Appl., December, 2023
Multim. Tools Appl., September, 2023
Multim. Tools Appl., March, 2023
IEEE Trans. Multim., 2023
HN-MUM: heterogeneous video anomaly detection network with multi-united-memory module.
Multim. Tools Appl., 2023
Future frame prediction based on generative assistant discriminative network for anomaly detection.
Appl. Intell., 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
2022
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022
2021
2020
S3GRN: Structural Similar Stepwise Generative Recognizable Network for Human Action Recognition With Limited Training Data.
IEEE Access, 2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020
2019
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
2017
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Pattern Recognit., 2016
Pattern Recognit., 2016
2014
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014