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20212026
most citedHUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting

2 citations · 5 across the 26 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

Monocular Visual 8D Pose Estimation for Articulated Bicycles and Cyclists

Eduardo R. Corral-Soto, Yang Liu, Yuan Ren +2

In Autonomous Driving, cyclists belong to the safety-critical class of Vulnerable Road Users (VRU), and accurate estimation of their pose is critical for cyclist crossing intention…

cs.CV2025

MoVieDrive: Urban Scene Synthesis with Multi-Modal Multi-View Video Diffusion Transformer

Guile Wu, David Huang, Dongfeng Bai +1

Urban scene synthesis with video generation models has recently shown great potential for autonomous driving. Existing video generation approaches to autonomous driving primarily f…

cs.CV2025

ArmGS: Composite Gaussian Appearance Refinement for Modeling Dynamic Urban Environments

Guile Wu, Dongfeng Bai, Bingbing Liu

This work focuses on modeling dynamic urban environments for autonomous driving simulation. Contemporary data-driven methods using neural radiance fields have achieved photorealist…

cs.CV2025

EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis

Sheng Miao, Jiaxin Huang, Dongfeng Bai +6

Novel view synthesis of urban scenes is essential for autonomous driving-related applications.Existing NeRF and 3DGS-based methods show promising results in achieving photorealisti…

cs.LG2025

CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving

Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi +6

In this paper, we introduce Context-Aware Priority Sampling (CAPS), a novel method designed to enhance data efficiency in learning-based autonomous driving systems. CAPS addresses…