2 citations · 7 across the 11 of their papers we have counts for
12 papers
Flex-RSI: Benchmarking Recursive Self-Improvement of Frontier Agents
Jingdong Zhang, Jionghao Wang, Zhengming Yu +19
Frontier language models are increasingly deployed as agents, and how well an agent performs depends not only on its model but also on its harness: the prompts, tools, memory, and…
Vision-Language Assistant for Emotional Reactions to Risky Driving
Harine Choi, Eun Hak Lee, Zhengzhong Tu
This study introduces a vision-language pipeline that detects risky driving behaviors and generates emotionally expressive responses to support driver awareness and comfort. Althou…
A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models
Nuo Chen, Lulin Liu, Zihao Li +12
Generative world models hold immense promise as scalable simulators for autonomous systems, particularly for synthesizing rare but safety-critical multi-agent interactions, such as…
Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs
Xiangbo Gao, Xiukun Huang, Boyu Lu +5
Driving VLA models incorporating Chain-of-Thought (CoT) reasoning are attractive because they leverage pretrained VLM representations and expose intermediate decisions in natural l…
RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery
Yifan Yang, Wenjing Gong, Kaili Zhang +5
Due to the increasing frequency and intensity of extreme climate events, there is a clear demand for intelligent, scalable, and autonomous approaches to disaster damage assessment.…
Beyond Thinking: Imagining in 360 for Humanoid Visual Search
Jingdong Zhang, Yizhou Wang, Zhengzhong Tu +3
Humanoid Visual Search (HVS) requires agents to actively explore immersive 360 environments. While prior methods treat this as a monolithic task relying on cumulative, mult…
NavTrust: Benchmarking Trustworthiness for Embodied Navigation
Huaide Jiang, Yash Chaudhary, Yuping Wang +8
There are two major categories of embodied navigation: Vision-Language Navigation (VLN), where agents navigate by following natural language instructions; and Object-Goal Navigatio…
CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception
Rujia Wang, Xiangbo Gao, Hao Xiang +2
Multi-agent collaborative perception enhances each agent perceptual capabilities by sharing sensing information to cooperatively perform robot perception tasks. This approach has p…
STAMP: Scalable Task And Model-agnostic Collaborative Perception
Xiangbo Gao, Runsheng Xu, Jiachen Li +3
Perception is crucial for autonomous driving, but single-agent perception is often constrained by sensors' physical limitations, leading to degraded performance under severe occlus…
CoMamba: Real-time Cooperative Perception Unlocked with State Space Models
Jinlong Li, Xinyu Liu, Baolu Li +4
Cooperative perception systems play a vital role in enhancing the safety and efficiency of vehicular autonomy. Although recent studies have highlighted the efficacy of vehicle-to-e…
Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
Jinlong Li, Baolu Li, Zhengzhong Tu +5
Vision-centric perception systems for autonomous driving have gained considerable attention recently due to their cost-effectiveness and scalability, especially compared to LiDAR-b…
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
Baolu Li, Jinlong Li, Xinyu Liu +5
Current LiDAR-based Vehicle-to-Everything (V2X) multi-agent perception systems have shown the significant success on 3D object detection. While these models perform well in the tra…