Light field salient object detection (SOD) is an emerging research direc...
Inspired by expert evaluation policy for urban perception, we proposed a...
Recently CNN-based RGB-D salient object detection (SOD) has obtained
sig...
Unmanned aerial vehicle (UAV) tracking has wide potential applications i...
Estimating homography from an image pair is a fundamental problem in ima...
Depth can provide useful geographical cues for salient object detection
...
RGB-D salient object detection (SOD) recently has attracted increasing
r...
With the increasing demand for search and rescue, it is highly demanded ...
(Discriminative) Correlation Filter has been successfully applied to vis...
Unmanned aerial vehicle (UAV)-based tracking is attracting increasing
at...
Depth information has been proved beneficial in RGB-D salient object
det...
Digital watermarking has been widely used to protect the copyright and
i...
RGB-D salient object detection (SOD) recently has attracted increasing
r...
Salient object detection (SOD) is a long-standing research topic in comp...
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
Existing RGB-D salient object detection (SOD) models usually treat RGB a...
Unsupervised crowd counting is a challenging yet not largely explored ta...
This paper proposes a novel joint learning and densely-cooperative fusio...
Giant pandas, stereotyped as silent animals, make significantly more voc...
Individual identification is essential to animal behavior and ecology
re...
Modern crowd counting methods usually employ deep neural networks (DNN) ...
Depth information has been proven useful for face recognition. However,
...
This paper proposes an encoder-decoder network to disentangle shape feat...
This paper investigates the evaluation of dense 3D face reconstruction f...
Face alignment and 3D face reconstruction are traditionally accomplished...
In this paper, we propose a novel face alignment method using single dee...