572 citations · 3.2k across the 46 of their papers we have counts for
20 papers · 1 filter
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction
Junyu Gao, Tao Han, Qi Wang +1
Recently, crowd counting using supervised learning achieves a remarkable improvement. Nevertheless, most counters rely on a large amount of manually labeled data. With the release…
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao, Yuan Yuan, Qi Wang
With the development of deep neural networks, the performance of crowd counting and pixel-wise density estimation are continually being refreshed. Despite this, there are still two…
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao, Qi Wang, Yuan Yuan
Recently, crowd counting is a hot topic in crowd analysis. Many CNN-based counting algorithms attain good performance. However, these methods only focus on the local appearance fea…
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao, Qi Wang, Xuelong Li
Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion. Many methods only focus on the local appearan…
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification
Qi Wang, Xiange He, Xuelong Li
Hyperspectral image (HSI) classification, which aims to assign an accurate label for hyperspectral pixels, has drawn great interest in recent years. Although low rank representatio…
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
Qi Wang, Zhenghang Yuan, Qian Du +1
Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral i…