Shiji Li's research while affiliated with China Agricultural University and other places
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Publications (7)
Traditional Chinese portrait is popular all over the world because of its unique oriental charm. However, how to use neural network to express the aesthetic and feelings in instantiated Chinese portrait effectively is still a challenging problem. This paper proposes a Photo to Chinese Portrait method (P-CP) providing immersive traditional Chinese p...
As a unique representative of Chinese culture and civilization, Chinese traditional portrait painting has a certain cultural influence all over the world. However, what kind of human-computer interaction system can attract more people’s interest and attention, is still a field worthy of exploration. This paper focuses on the instantiation expressio...
Aiming at the problem of ORB feature matching algorithm extracting background pixels as feature points and matching wrong feature points in a complex background environment, an improved ORB algorithm based on adaptive threshold is proposed, and GMS algorithm is used to screen out mismatches in the feature matching stage. First, the algorithm calcul...
With the emergence of Kinect, many research results have emerged in human action recognition based on skeleton information, which has promoted the development of human-computer interaction. In this paper, from the skeleton data obtained by Kinect, static features and dynamic features are extracted, and the two are merged; SVM classifier is used for...
![Figure 1. Neural Style Transfer Output Effects [3].](publication/347180236/figure/fig1/AS:1022415605874688@1620774284833/Neural-Style-Transfer-Output-Effects-3_Q320.jpg)
![Figure 3. Model-Optimisation-Based Neural Style Transfer System [5].](publication/347180236/figure/fig3/AS:1022415605886976@1620774284899/Model-Optimisation-Based-Neural-Style-Transfer-System-5_Q320.jpg)
![Figure 4. Deep Image Analogy for a Monet Painting [11].](publication/347180236/figure/fig4/AS:1022415605886977@1620774284933/Deep-Image-Analogy-for-a-Monet-Painting-11_Q320.jpg)
Image style transfer is a method that can output styled images, which can both retain the original image content and add new artistic style. When using neural network, this method is referred as Neural Style Transfer (NST), which is a hot topic in the field of image processing and video processing. This article will provide a comprehensive overview...
Object recognition is one of the classic problems in computer vision. It is very important for computers to recognize the common objects in life like the human brain and the human eye. This is also an important step in the development of computers in the direction of intelligence. This article summarizes the current research on object recognition,...
In the field of human-computer interaction, it is very important for computers to understand human behaviors, so human action recognition is of great significance. But in the current action recognition work, most of them are for the segmented action data. Compared with this, there is less research on continuous action recognition. Therefore, this p...
Citations
... Unsupervised image style transfer, on the other hand, is currently possible using a variety of different approaches. Some researchers have proposed a Bayesian framework that incorporates prior knowledge through the use of Markov random fields and a likelihood term known as the Markov likelihood term [23]. Do not overlook the visual aspect. ...
... From the restored static or changing background image, the motion of the foreground image is estimated by matching the line segments in the background image, and finally, the center of the bounding box is used to achieve tracking. The human body tracking system of Li et al. [14] uses the corner points of the motion contour as the corresponding features. These feature points use distance metrics based on position and curvature to perform forward and reverse matching between consecutive frames. ...
... Based on the survey of WHO, the number of the aged people is quickly growing in the whole world, and their living homes need much resources such as human and healthcare expenses. Hence, the intensive care services are required to tackle the wide use of resources in order to improve the living styles of the aged people [12]. Lots of studies have been recommended for the intensive care services that might reduce the death rates for the aged people. ...
... Another recently-studied strategy to overcome training data limitations is RGB-to-IR cross-modal style transfer (CMST) [11], which is the focus of this work. The goal of CMST [5] is to transform RGB (i.e., color) imagery so that it appears as though it were collected under similar conditions using an IR camera [11]. ...
