Hongjun Li

Orcid: 0000-0001-7500-4979

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Adaptive loitering anomaly detection based on motion states.
Multim. Tools Appl., July, 2025

A novel spatio-temporal memory network for video anomaly detection.
Multim. Tools Appl., March, 2025

Detecting Adversarial Attacks Based on Tracking Differences in Frequency Bands.
IEEE Trans. Multim., 2025

A multi-memory-augmented network with a curvy metric method for video anomaly detection.
Neural Networks, 2025

Spatial scene temporal behavior framework for anomaly detection.
Digit. Signal Process., 2025

2024
Advancing scene text image super-resolution via edge enhancement priors.
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

Appearance-motion heterogeneous networks for video anomaly detection.
Multim. Tools Appl., May, 2024

MTM-net: a multidimensional two-stage memory-guided network for vedio abnormal detection.
Multim. Tools Appl., May, 2024

Grey-adversary perceptual network for anomaly detection.
Multim. Tools Appl., April, 2024

TMTB: Transformer based multi-task branching multi-object tracking algorithm for wide-view scenes.
Multim. Tools Appl., April, 2024

An informative dual ForkNet for video anomaly detection.
Neural Networks, 2024

Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection.
Neural Networks, 2024

FOAD: a novel video anomaly detection focusing on objects.
Multim. Tools Appl., 2024

A Helium Speech Correction Method Based on Generative Adversarial Networks.
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
Video anomaly detection based on scene classification.
Multim. Tools Appl., December, 2023

Multi-memory video anomaly detection based on scene object distribution.
Multim. Tools Appl., September, 2023

MPAT: multi-path attention temporal method for video anomaly detection.
Multim. Tools Appl., March, 2023

Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking.
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

Transformer-Based Multi-object Tracking in Unmanned Aerial Vehicles.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
A near effective and efficient model in recognition.
Pattern Recognit., 2022

A novel vertical-cross-horizontal network.
Multim. Tools Appl., 2022

Spatio-Temporal United Memory for Video Anomaly Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Transformer with Spatio-Temporal Representation for Video Anomaly Detection.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

2021
Fall detection based on fused saliency maps.
Multim. Tools Appl., 2021

2020
RCCM: Reinforce Cycle Cascade Model for Image Recognition.
IEEE Access, 2020

S3GRN: Structural Similar Stepwise Generative Recognizable Network for Human Action Recognition With Limited Training Data.
IEEE Access, 2020

Multi-features Integration for Speech Emotion Recognition.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Transformed Network Based on Task-Driven.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

Generative Adversarial-Synergetic Networks for Anomaly Detection.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2020

2019
Sparse-Temporal Segment Network for Action Recognition.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019

2017
Joint object region location and deep feature learning for fall recognition.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Fall detection based on depth images via wavelet moment.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Robust face recognition based on dynamic rank representation.
Pattern Recognit., 2016

A novel Non-local means image denoising method based on grey theory.
Pattern Recognit., 2016

2014
Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014


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