64 citations · 103 across the 10 of their papers we have counts for
4 papers · 1 filter
FPD-Drive: Future Policy Distillation for End-to-End Autonomous Driving
Li-Heng Chen, Qifeng Chen, Chengwei Wu +4
End-to-end autonomous driving models are typically trained on real-world driving logs, which record only the trajectory actually executed in each scene. This provides limited super…
USR-Drive: Unified Driving Scene Representation via Joint Denoising of 3D Gaussians and Boxes
Li-Heng Chen, Haokai Pang, Chengye Su +7
Spatial representation learning for autonomous driving aims to map raw visual signals into structured 3D scene representations, where object-centric bounding boxes and rendering-or…
VistaGEN: Consistent Driving Video Generation with Fine-Grained Control Using Multiview Visual-Language Reasoning
Li-Heng Chen, Ke Cheng, Yahui Liu +3
Driving video generation has achieved much progress in controllability, video resolution, and length, but fails to support fine-grained object-level controllability for diverse dri…
Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals
Yu-Chih Chen, Michael Wang, Chieh-Dun Wen +4
No-reference video quality assessment (NR-VQA) for gaming videos is challenging due to limited human-rated datasets and unique content characteristics including fast motion, styliz…