Tongtong Cheng — accepted AI-conference papers

2026

BEV-CAR: Enhancing Monocular Bird's Eye View Segmentation with Context-Aware Rasterization

Yixin Xiong, Ke Wang, Tongtong Cheng, Chunhui Liu, Kai Liu

CVPR 2026

Bird's Eye View (BEV) semantic segmentation is essential for autonomous driving and mobile robotics, yet it still faces significant challenges on accurate segmentation of foreground object and efficient estimating of layout categories obscured by objects. To address these issues, we propose BEV-CAR,

Cited by 0 Source ↗code ↗Scholar ↗

2025

MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video Understanding

Tongtong Cheng, Rongzhen Li, Yixin Xiong, Tao Zhang, Jing Wang, Kai Liu

ICCV 2025poster

Accurate driving behavior recognition and reasoning are critical for autonomous driving video understanding. However, existing methods often tend to dig out the shallow causal, fail to address spurious correlations across modalities, and ignore the ego-vehicle level causality modeling. To overcome t…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗