3 papers
cs.LG2026
NeSy-CSA: A Neuro-Symbolic Framework for Open-Ended Critical Scenario Attribution
Qitong Chu, Xunjie He, Chen Deng +2
Understanding why discovered scenarios become critical in scenario-based testing is essential for effectively leveraging them in decision-making systems. Reasoning about such criti…
cs.CV2025
DINO-CoDT: Multi-class Collaborative Detection and Tracking with Vision Foundation Models
Xunjie He, Christina Dao Wen Lee, Meiling Wang +4
Collaborative perception plays a crucial role in enhancing environmental understanding by expanding the perceptual range and improving robustness against sensor failures, which pri…
cs.CV2024
Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments
Meng Yu, Luojie Yang, Xunjie He +2
Semantic segmentation is a critical technique for effective scene understanding. Traditional RGB-T semantic segmentation models often struggle to generalize across diverse scenario…