37 citations · 44 across the 6 of their papers we have counts for
6 papers
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
Yuanman Li, Yingjie He, Changsheng Chen +4
Recent advances in deep learning algorithms have shown impressive progress in image copy-move forgery detection (CMFD). However, these algorithms lack generalizability in practical…
Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
Rongqin Liang, Yuanman Li, Jiantao Zhou +1
Traffic anomaly detection (TAD) in driving videos is critical for ensuring the safety of autonomous driving and advanced driver assistance systems. Previous single-stage TAD method…
Multi-scale Target-Aware Framework for Constrained Image Splicing Detection and Localization
Yuxuan Tan, Yuanman Li, Limin Zeng +3
Constrained image splicing detection and localization (CISDL) is a fundamental task of multimedia forensics, which detects splicing operation between two suspected images and local…
Image Copy-Move Forgery Detection via Deep Cross-Scale PatchMatch
Yingjie He, Yuanman Li, Changsheng Chen +1
The recently developed deep algorithms achieve promising progress in the field of image copy-move forgery detection (CMFD). However, they have limited generalizability in some prac…
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos
Rongqin Liang, Yuanman Li, Yingxin Yi +2
Identifying traffic accidents in driving videos is crucial to ensuring the safety of autonomous driving and driver assistance systems. To address the potential danger caused by the…
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction
Rongqin Liang, Yuanman Li, Jiantao Zhou +1
The pedestrian trajectory prediction task is an essential component of intelligent systems. Its applications include but are not limited to autonomous driving, robot navigation, an…