24 citations · 36 across the 5 of their papers we have counts for
5 papers
PointPatchMix: Point Cloud Mixing with Patch Scoring
Yi Wang, Jiaze Wang, Jinpeng Li +4
Data augmentation is an effective regularization strategy for mitigating overfitting in deep neural networks, and it plays a crucial role in 3D vision tasks, where the point cloud…
A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd
Jianheng Tang, Kejia Fan, Wenxuan Xie +6
The recruitment of trustworthy and high-quality workers is an important research issue for MCS. Previous studies either assume that the qualities of workers are known in advance, o…
CNN-VWII: An Efficient Approach for Large-Scale Video Retrieval by Image Queries
Chengyuan Zhang, Yunwu Lin, Lei Zhu +3
This paper aims to solve the problem of large-scale video retrieval by a query image. Firstly, we define the problem of top- image to video query. Then, we combine the merits of…
Hierarchical Information Quadtree: Efficient Spatial Temporal Image Search for Multimedia Stream
Chengyuan Zhang, Ruipeng Chen, Lei Zhu +3
Massive amount of multimedia data that contain times- tamps and geographical information are being generated at an unprecedented scale in many emerging applications such as photo s…
MAEC : A Movement-Assisted Energy Conserving Method in Event Driven Wireless Sensor Networks
Ming Zhao, Zhigang Chen, Xiaoheng Deng +3
Energy is one of the most important resources in wireless sensor networks. Recently, the mobility of base station has been exploited to preserve the energy. But in event driven net…