53 citations · 139 across the 16 of their papers we have counts for
14 papers
STMTrack: Template-free Visual Tracking with Space-time Memory Networks
Zhihong Fu, Qingjie Liu, Zehua Fu +1
Boosting performance of the offline trained siamese trackers is getting harder nowadays since the fixed information of the template cropped from the first frame has been almost tho…
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng, Qingjie Liu, Mingming Zhang +2
Hyperspectral image classification (HIC) is an important but challenging task, and a problem that limits the algorithmic development in this field is that the ground truths of hype…
MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
Ran Qin, Qingjie Liu, Guangshuai Gao +2
Objects in aerial images usually have arbitrary orientations and are densely located over the ground, making them extremely challenge to be detected. Many recently developed method…
PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening
Huanyu Zhou, Qingjie Liu, Yunhong Wang
Pan-sharpening aims at fusing a low-resolution (LR) multi-spectral (MS) image and a high-resolution (HR) panchromatic (PAN) image acquired by a satellite to generate an HR MS image…
Co-Saliency Detection with Co-Attention Fully Convolutional Network
Guangshuai Gao, Wenting Zhao, Qingjie Liu +1
Co-saliency detection aims to detect common salient objects from a group of relevant images. Some attempts have been made with the Fully Convolutional Network (FCN) framework and a…
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao, Junyu Gao, Qingjie Liu +2
Accurately estimating the number of objects in a single image is a challenging yet meaningful task and has been applied in many applications such as urban planning and public safet…