This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
This paper presents a multi-output regression model for crowd counting in public scenes. Existing counting by regression methods either learn a single model for global counting, or...
Ke Chen, Chen Change Loy, Shaogang Gong, Tao Xiang...
The node localization problem in Wireless Sensor Networks has received considerable attention, driven by the need to obtain a higher location accuracy without incurring a large, p...
Background: Subcellular localization of a new protein sequence is very important and fruitful for understanding its function. As the number of new genomes has dramatically increas...
—Location information of nodes is the basis for many applications in wireless sensor networks (WSNs). However, most previous localization methods make the unrealistic assumption:...
Yuanfang Chen, Lei Shu, Mingchu Li, Ziqi Fan, Lei ...