6 papers
Lane-Wise Highway Anomaly Detection
Mei Qiu, William Lorenz Reindl, Yaobin Chen +2
This paper proposes a scalable and interpretable framework for lane-wise highway traffic anomaly detection, leveraging multi-modal time series data extracted from surveillance came…
Towards Predicting the Success of Transfer-based Attacks by Quantifying Shared Feature Representations
Ashley S. Dale, Mei Qiu, Foo Bin Che +3
Much effort has been made to explain and improve the success of transfer-based attacks (TBA) on black-box computer vision models. This work provides the first attempt at a priori p…
Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID
Mei Qiu, Lauren Ann Christopher, Stanley Chien +1
Vision Transformers (ViTs) have shown exceptional performance in vehicle re-identification (ReID) tasks. However, non-square aspect ratios of image or video inputs can negatively i…
Optimizing ROI Benefits Vehicle ReID in ITS
Mei Qiu, Lauren Ann Christopher, Lingxi Li +2
Vehicle re-identification (ReID) is a computer vision task that matches the same vehicle across different cameras or viewpoints in a surveillance system. This is crucial for Intell…
Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification
Mei Qiu, Lauren Christopher, Lingxi Li
Vision Transformers (ViTs) have excelled in vehicle re-identification (ReID) tasks. However, non-square aspect ratios of image or video input might significantly affect the re-iden…
Enhancing Vehicle Re-identification and Matching for Weaving Analysis
Mei Qiu, Wei Lin, Stanley Chien +3
Vehicle weaving on highways contributes to traffic congestion, raises safety issues, and underscores the need for sophisticated traffic management systems. Current tools are inadeq…