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20232026
most citedOn the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

21 citations · 21 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Holi-Spatial: Evolving Video Streams into Holistic 3D Spatial Intelligence

Yuanyuan Gao, Hao Li, Yifei Liu +14

The pursuit of spatial intelligence fundamentally relies on access to large-scale, fine-grained 3D data. However, existing approaches predominantly construct spatial understanding…

cs.CV2025

UR-Bench: A Benchmark for Multi-Hop Reasoning over Ultra-High-Resolution Images

Siqi Li, Xinyu Cai, Jianbiao Mei +7

Recent multimodal large language models (MLLMs) show strong capabilities in visual-language reasoning, yet their performance on ultra-high-resolution imagery remains largely unexpl…

cs.CV2025

Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World Models

Jianbiao Mei, Yu Yang, Xuemeng Yang +4

End-to-end autonomous driving systems increasingly rely on vision-centric world models to understand and predict their environment. However, a common ineffectiveness in these model…

cs.CV2025

IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?

Yang Chen, Minghao Liu, Yufan Shen +18

The webpage-to-code task requires models to understand visual representations of webpages and generate corresponding code. However, existing benchmarks primarily focus on static sc…

cs.CV2024

ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving

Tao Ma, Hongbin Zhou, Qiusheng Huang +7

Offboard perception aims to automatically generate high-quality 3D labels for autonomous driving (AD) scenes. Existing offboard methods focus on 3D object detection with closed-set…

cs.CV2024

DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes

Jianbiao Mei, Tao Hu, Xuemeng Yang +7

Recent advances in diffusion models have improved controllable streetscape generation and supported downstream perception and planning tasks. However, challenges remain in accurate…