3 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
PhysFlow: Physics-Aware Optical Flow for Motion Controllable Video Generation
Cong Wang, Hanxin Zhu, Yonglin Tian +5
Video generation models have recently attracted substantial attention for their ability to generate visually compelling videos, yet ensuring physically consistent and plausible dyn…
OWMDrive: Causality-Aware End-to-End Autonomous Driving via 4D Occupancy World Model
Junjie Cheng, Ruiqi Song, Ye Wu +3
Autonomous driving systems are steadily moving toward end-to-end paradigms to mitigate the limited adaptability of rule-based pipelines in complex traffic environments. However, mo…
UnsOcc: 3D Semantic Occupancy Prediction in Unstructured Scene via Rendering Fusion
Ye Wu, Ruiqi Song, Baiyong Ding +3
Unstructured scenes present unique challenges for autonomous driving, as irregular obstacles and sparse scene layouts undermine the effectiveness of traditional perception methods…
DriveSplat: Unified Neural Gaussian Reconstruction for Dynamic Driving Scenes
Cong Wang, Ruiqi Song, Wei Tian +3
Reconstructing large-scale dynamic driving scenes remains challenging due to the coexistence of static environments with extreme depth variation and diverse dynamic actors exhibiti…
InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
Ruiqi Song, Xianda Guo, Yanlun Peng +3
Conventional end-to-end autonomous driving methods often rely on explicit global scene representations, which typically consist of 3D object detection, online mapping, and motion p…
GenAD: Generative End-to-End Autonomous Driving
Wenzhao Zheng, Ruiqi Song, Xianda Guo +2
Directly producing planning results from raw sensors has been a long-desired solution for autonomous driving and has attracted increasing attention recently. Most existing end-to-e…