1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2026
GRAVA: Grounded Reasoning-to-Action Representation and Learning for Autonomous Driving
Xiao Liu, Haoyu Li, Jianghao Leng +2
Driving vision-language-action (VLA) models increasingly reason before acting, but their intermediate reasoning is often weakly grounded in physical scene evidence and loosely conn…
cs.CV2025
PillarMamba: Learning Local-Global Context for Roadside Point Cloud via Hybrid State Space Model
Zhang Zhang, Chao Sun, Chao Yue +3
Serving the Intelligent Transport System (ITS) and Vehicle-to-Everything (V2X) tasks, roadside perception has received increasing attention in recent years, as it can extend the pe…
cs.CV2025★ 1 cited
HeightFormer: Learning Height Prediction in Voxel Features for Roadside Vision Centric 3D Object Detection via Transformer
Zhang Zhang, Chao Sun, Chao Yue +4
Roadside vision centric 3D object detection has received increasing attention in recent years. It expands the perception range of autonomous vehicles, enhances the road safety. Pre…