19 citations · 21 across the 6 of their papers we have counts for
7 papers
When Coordination Becomes a Threat: Communication Attacks in LLM-Controlled Multi-Robot Systems
Zhen Huang, Zhihuang Liu, Weijia Shi +3
Large Language Models (LLMs) are increasingly used as high-level planners in embodied multi-robot systems, enabling robots to interpret natural language instructions and coordinate…
Propagating Unsafe Actions in LLM Controlled Multi-Robot Collaboration via Single Robot Compromise
Zhen Huang, Zhihuang Liu, Mengxuan Luo +2
Large language models (LLMs) are increasingly used as general planners in embodied intelligence, enabling high level coordination and low level task planning for both single robot…
MetaTrading: An Immersion-Aware Model Trading Framework for Vehicular Metaverse Services
Hongjia Wu, Hui Zeng, Zehui Xiong +5
Timely updating of Internet of Things data is crucial for achieving immersion in vehicular metaverse services. However, challenges such as latency caused by massive data transmissi…
RayMVSNet++: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo
Yifei Shi, Junhua Xi, Dewen Hu +2
Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of ou…
Delving into Crispness: Guided Label Refinement for Crisp Edge Detection
Yunfan Ye, Renjiao Yi, Zhirui Gao +2
Learning-based edge detection usually suffers from predicting thick edges. Through extensive quantitative study with a new edge crispness measure, we find that noisy human-labeled…
RARE: Robust Masked Graph Autoencoder
Wenxuan Tu, Qing Liao, Sihang Zhou +5
Masked graph autoencoder (MGAE) has emerged as a promising self-supervised graph pre-training (SGP) paradigm due to its simplicity and effectiveness. However, existing efforts perf…
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
Yunfan Ye, Renjiao Yi, Zhirui Gao +3
We study the problem of reconstructing 3D feature curves of an object from a set of calibrated multi-view images. To do so, we learn a neural implicit field representing the densit…