activity
20222026
most citedDeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

978 citations · 1.4k across the 18 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective

Tianyuan Zhang, Xianglong Liu, Aishan Liu +6

Environmental illusions (eg., shadows, reflections, and tire marks) are naturally existing yet overlooked phenomena in real-world driving environments. They can disturb visual perc…

cs.CV2025

Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles

Jiangfan Liu, Yongkang Guo, Fangzhi Zhong +7

The generation of safety-critical scenarios in simulation has become increasingly crucial for safety evaluation in autonomous vehicles prior to road deployment in society. However,…

cs.CV2025

Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving

Tianyuan Zhang, Ting Jin, Lu Wang +5

Vision-Language Models (VLMs) have recently emerged as a promising paradigm in autonomous driving (AD). However, current performance evaluation protocols for VLM-based AD systems (…

cs.CV2025

PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation

Zonglei Jing, Xiao Yang, Xiaoqian Li +4

Text-to-image (T2I) models have demonstrated remarkable generative capabilities but remain vulnerable to producing not-safe-for-work (NSFW) content, such as violent or explicit ima…

cs.CV2025

Manipulating Multimodal Agents via Cross-Modal Prompt Injection

Le Wang, Zonghao Ying, Tianyuan Zhang +5

The emergence of multimodal large language models has redefined the agent paradigm by integrating language and vision modalities with external data sources, enabling agents to bett…

cs.CV2022

Federated Remote Physiological Measurement with Imperfect Data

Xin Liu, Mingchuan Zhang, Ziheng Jiang +2

The growing need for technology that supports remote healthcare is being acutely highlighted by an aging population and the COVID-19 pandemic. In health-related machine learning ap…