Chengqi Li
Chengqi Li
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Image-Pretrained Vision Transformers for Real-Time Traffic Anomaly Detection
This project explores the trade-offs of using image-pretrained ViTs for traffic anomaly detection, achieving 78.1% AUC-ROC at 200 FPS on the DoTA benchmark.
Feb 6, 2026
VRU tracking in LiDAR point cloud
Inspired by Spatio-Temporal Tracking paradigms, we leverage LiDAR data to track pedestrians in 3D space.
Oct 1, 2023
YourArXiv.com -- a Personalized ArXiv with Embedding based recommendation
Inspired by language model for recommendation, we leverage Ada2 model to build a personalized ArXiv recommendation system.
Apr 20, 2023
Deployment and optimization pipeline for YOLOv5 models on detection and segmentation tasks
Deployment and optimization pipeline for YOLOv5 models on detection and segmentation tasks
Dec 18, 2022
Object Detection