51 citations · 95 across the 4 of their papers we have counts for
5 papers · 1 filter
Cross-View Cross-Scene Multi-View Crowd Counting
Qi Zhang, Wei Lin, Antoni B. Chan
Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend the field-of-view of a single camera, capturing more people in the scene, and improve coun…
Pixel-Level Self-Paced Learning for Super-Resolution
Wei. Lin, Junyu. Gao, Qi. Wang +1
Recently, lots of deep networks are proposed to improve the quality of predicted super-resolution (SR) images, due to its widespread use in several image-based fields. However, wit…
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization
Qi Wang, Junyu Gao, Wei Lin +1
In the last decade, crowd counting and localization attract much attention of researchers due to its wide-spread applications, including crowd monitoring, public safety, space desi…
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
Junyu Gao, Wei Lin, Bin Zhao +3
This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (CF). The contrib…
Learning from Synthetic Data for Crowd Counting in the Wild
Qi Wang, Junyu Gao, Wei Lin +1
Recently, counting the number of people for crowd scenes is a hot topic because of its widespread applications (e.g. video surveillance, public security). It is a difficult task in…