9 citations · 24 across the 5 of their papers we have counts for
6 papers
RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
While most current RGB-D-based category-level object pose estimation methods achieve strong performance, they face significant challenges in scenes lacking depth information. In th…
Learning-based Parameterized Barrier Function for Safety-Critical Control of Unknown Systems
Sihua Zhang, Di-Hua Zhai, Xiaobing Dai +3
With the increasing complexity of real-world systems and varying environmental uncertainties, it is difficult to build an accurate dynamic model, which poses challenges especially…
Egret: Reinforcement Mechanism for Sequential Computation Offloading in Edge Computing
Haosong Peng, Yufeng Zhan, DiHua Zhai +2
As an emerging computing paradigm, edge computing offers computing resources closer to the data sources, helping to improve the service quality of many real-time applications. A cr…
Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
Xiaobing Dai, Zewen Yang, Sihua Zhang +3
In the realm of the cooperative control of multi-agent systems (MASs) with unknown dynamics, Gaussian process (GP) regression is widely used to infer the uncertainties due to its m…
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Yongkang Wang, Dihua Zhai, Yufeng Zhan +1
Federated learning (FL) is a distributed machine learning paradigm where enormous scattered clients (e.g. mobile devices or IoT devices) collaboratively train a model under the orc…
DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction
Zigeng Yan, Di-Hua Zhai, Yuanqing Xia
Human motion prediction is an important and challenging task in many computer vision application domains. Recent work concentrates on utilizing the timing processing ability of rec…