4 papers
CrACK: Adversarial Attacks on Cross-Model Consistency in Collaborative Vision Foundation Models
Feifei Liu, Jintao Cheng, Chi Man Vong +1
Training-free collaborative pipelines that integrate Vision Foundation Models such as CLIP, SAM, and DINO achieve strong open-vocabulary dense prediction and are increasingly deplo…
SIPTraj: Map-Free End-to-End Trajectory Prediction via Physics-Guided Scene Interaction
Feifei Liu, Zejun Wei, Haozhe Wang +6
Trajectory prediction of surrounding agents is a prerequisite for safe planning and decision making in autonomous driving. Without high-definition (HD) maps, sensor-derived bird's-…
Diffusion-Based Restoration for Multi-Modal 3D Object Detection in Adverse Weather
Zhijian He, Feifei Liu, Yuwei Li +4
Multi-modal 3D object detection is important for reliable perception in robotics and autonomous driving. However, its effectiveness remains limited under adverse weather conditions…
Beyond ADE and FDE: A Comprehensive Evaluation Framework for Safety-Critical Prediction in Multi-Agent Autonomous Driving Scenarios
Feifei Liu, Haozhe Wang, Zejun Wei +5
Current evaluation methods for autonomous driving prediction models rely heavily on simplistic metrics such as Average Displacement Error (ADE) and Final Displacement Error (FDE).…