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20232026
most citedVision Language Models in Autonomous Driving: A Survey and Outlook

17 citations · 21 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

VeCAS: Vessel-Focused Contrast-Free Angiogram Synthesis for Vascular Interventions

De-Xing Huang, Chen-Yu Wang, Hao Liang +10

X-ray angiography relies on iodinated contrast agents to visualize vascular structures during image-guided interventions. However, contrast administration carries risks of adverse…

cs.CV2026

Backbone-Agnostic Stochastic Perturbation Learning for End-to-End Real-World Image Dehazing

Bingcai Wei, Yuning Cui, Mingyu Liu +5

Real-world paired image dehazing remains challenging because haze degradation is spatially non-uniform, illumination-dependent, and physically ambiguous even when haze-free referen…

cs.CV2026

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs

Xingcheng Zhou, Hao Guo, Rui Song +5

Safety-critical traffic reasoning requires contrastive consistency: models must detect true hazards when an accident occurs, and reliably reject plausible-but-false hypotheses unde…

cs.CV2026

LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results

Xiang Chen, Hao Li, Jiangxin Dong +54

This paper presents a review for the LoViF Challenge on Real-World All-in-One Image Restoration. The challenge aimed to advance research on real-world all-in-one image restoration…

cs.CV2026

SGTA: Scene-Graph Based Multi-Modal Traffic Agent for Video Understanding

Xingcheng Zhou, Mingyu Liu, Walter Zimmer +2

We present Scene-Graph Based Multi-Modal Traffic Agent (SGTA), a modular framework for traffic video understanding that combines structured scene graphs with multi-modal reasoning.…