7 citations · 22 across the 11 of their papers we have counts for
11 papers
Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment
Xin Jin, Hao Lou, Huang Heng +4
In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets. To re…
Focusing on Persons: Colorizing Old Images Learning from Modern Historical Movies
Xin Jin, Zhonglan Li, Ke Liu +6
In industry, there exist plenty of scenarios where old gray photos need to be automatically colored, such as video sites and archives. In this paper, we present the HistoryNet focu…
Confused Modulo Projection based Somewhat Homomorphic Encryption -- Cryptosystem, Library and Applications on Secure Smart Cities
Xin Jin, Hongyu Zhang, Xiaodong Li +5
With the development of cloud computing, the storage and processing of massive visual media data has gradually transferred to the cloud server. For example, if the intelligent vide…
A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
Xin Jin, Xiqiao Li, Heng Huang +2
The task of aesthetic quality assessment is complicated due to its subjectivity. In recent years, the target representation of image aesthetic quality has changed from a one-dimens…
Aesthetic Attributes Assessment of Images
Xin Jin, Le Wu, Geng Zhao +6
Image aesthetic quality assessment has been a relatively hot topic during the last decade. Most recently, comments type assessment (aesthetic captions) has been proposed to describ…
Facial Makeup Transfer Combining Illumination Transfer
Xin Jin, Rui Han, Ning Ning +2
To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software. The makeup effec…
Multi-level Chaotic Maps for 3D Textured Model Encryption
Xin Jin, Shuyun Zhu, Le Wu +4
With rapid progress of Virtual Reality and Augmented Reality technologies, 3D contents are the next widespread media in many applications. Thus, the protection of 3D models is prim…
Single Reference Image based Scene Relighting via Material Guided Filtering
Xin Jin, Yannan Li, Ningning Liu +4
Image relighting is to change the illumination of an image to a target illumination effect without known the original scene geometry, material information and illumination conditio…
Predicting Aesthetic Score Distribution through Cumulative Jensen-Shannon Divergence
Xin Jin, Le Wu, Xiaodong Li +6
Aesthetic quality prediction is a challenging task in the computer vision community because of the complex interplay with semantic contents and photographic technologies. Recent st…
Efficient Privacy Preserving Viola-Jones Type Object Detection via Random Base Image Representation
Xin Jin, Peng Yuan, Xiaodong Li +4
A cloud server spent a lot of time, energy and money to train a Viola-Jones type object detector with high accuracy. Clients can upload their photos to the cloud server to find obj…
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation
Xin Jin, Le Wu, Xiaodong Li +6
In this paper, we address a challenging problem of aesthetic image classification, which is to label an input image as high or low aesthetic quality. We take both the local and glo…