Chengjun Liu

Chengjun Liu

New Jersey Institute of Technology

H-index: 41

North America-United States

About Chengjun Liu

Chengjun Liu, With an exceptional h-index of 41 and a recent h-index of 21 (since 2020), a distinguished researcher at New Jersey Institute of Technology, specializes in the field of Computer Vision – Face Recognition, Traffic Video Analytics, Image Search &Video Retrieval, Artificial Intelligence – Machin.

His recent articles reflect a diverse array of research interests and contributions to the field:

Intelligent Traffic Video Analytics

Object detection in traffic videos: A survey

CS 670: Artificial Intelligence

Ammunition Component Classification Using Deep Learning

Unsupervised anomaly detection in traffic surveillance based on global foreground modeling

Real-time hysteresis foreground detection in video captured by moving cameras

Illumination-aware image segmentation for real-time moving cast shadow suppression

Real-time accident detection in traffic surveillance using deep learning

Chengjun Liu Information

University

Position

Professor of Computer Science

Citations(all)

10601

Citations(since 2020)

1829

Cited By

9471

hIndex(all)

41

hIndex(since 2020)

21

i10Index(all)

84

i10Index(since 2020)

47

Email

University Profile Page

Google Scholar

Chengjun Liu Skills & Research Interests

Computer Vision – Face Recognition

Traffic Video Analytics

Image Search &Video Retrieval

Artificial Intelligence – Machin

Top articles of Chengjun Liu

Intelligent Traffic Video Analytics

2023/4/12

Object detection in traffic videos: A survey

2023/3/30

CS 670: Artificial Intelligence

2023

Chengjun Liu
Chengjun Liu

H-Index: 25

Ammunition Component Classification Using Deep Learning

arXiv preprint arXiv:2208.12863

2022/8/26

Unsupervised anomaly detection in traffic surveillance based on global foreground modeling

2022/6/21

Real-time hysteresis foreground detection in video captured by moving cameras

2022/6/21

Illumination-aware image segmentation for real-time moving cast shadow suppression

2022/6/21

Real-time accident detection in traffic surveillance using deep learning

2022/6/21

Traffic surveillance video analytics: A concise survey

Proc. 18th Int. Conf. Mach. Learn. Data Mining, New York, NY, USA

2022

Smart traffic monitoring system using computer vision and edge computing

IEEE Transactions on Intelligent Transportation Systems

2021/9/22

A new online approach for moving cast shadow suppression in traffic videos

2021/9/19

Anomalous driving detection for traffic surveillance video analysis

2021/8/24

An innovative video quality assessment method and an impairment video dataset

2021/8/24

Hang Shi
Hang Shi

H-Index: 2

Chengjun Liu
Chengjun Liu

H-Index: 25

Automatic road detection in traffic videos

2020/12/17

A new adaptive bidirectional region-of-interest detection method for intelligent traffic video analysis

2020/12/9

A statistical modeling method for road recognition in traffic video analytics

2020/9/23

Hang Shi
Hang Shi

H-Index: 2

Chengjun Liu
Chengjun Liu

H-Index: 25

A real time accident detection framework for traffic video analysis

Machine Learning and Data Mining in Pattern Recognition, MLDM

2020/7

A new cast shadow detection method for traffic surveillance video analysis using color and statistical modeling

Image and Vision Computing

2020/2/1

Hang Shi
Hang Shi

H-Index: 2

Chengjun Liu
Chengjun Liu

H-Index: 25

CS 782-001: Pattern Recognition & Applications

2020

Chengjun Liu
Chengjun Liu

H-Index: 25

See List of Professors in Chengjun Liu University(New Jersey Institute of Technology)