19 citations · 55 across the 8 of their papers we have counts for
8 papers
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain
Chuanlin Lan, Ziyuan Yin, Arindam Basu +1
3D hand tracking methods based on monocular RGB videos are easily affected by motion blur, while event camera, a sensor with high temporal resolution and dynamic range, is naturall…
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning
Qihan Yang, Fan Feng, Rosa Chan
With the capacity of continual learning, humans can continuously acquire knowledge throughout their lifespan. However, computational systems are not, in general, capable of learnin…
The CORSMAL benchmark for the prediction of the properties of containers
Alessio Xompero, Santiago Donaher, Vladimir Iashin +17
The contactless estimation of the weight of a container and the amount of its content manipulated by a person are key pre-requisites for safe human-to-robot handovers. However, opa…
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report
Qi She, Fan Feng, Qi Liu +33
This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…
OpenLORIS-Object: A Robotic Vision Dataset and Benchmark for Lifelong Deep Learning
Qi She, Fan Feng, Xinyue Hao +9
The recent breakthroughs in computer vision have benefited from the availability of large representative datasets (e.g. ImageNet and COCO) for training. Yet, robotic vision poses u…
Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM
Xuesong Shi, Dongjiang Li, Pengpeng Zhao +15
Service robots should be able to operate autonomously in dynamic and daily changing environments over an extended period of time. While Simultaneous Localization And Mapping (SLAM)…
Mutual Information-Based Unsupervised Feature Transformation for Heterogeneous Feature Subset Selection
Min Wei, Tommy W. S. Chow, Rosa H. M. Chan
Conventional mutual information (MI) based feature selection (FS) methods are unable to handle heterogeneous feature subset selection properly because of data format differences or…
Naming Game on Networks: Let Everyone be Both Speaker and Hearer
Yuan Gao, Guanrong Chen, Rosa H. M. Chan
To investigate how consensus is reached on a large self-organized peer-to-peer network, we extended the naming game model commonly used in language and communication to Naming Game…