29 citations · 48 across the 11 of their papers we have counts for
11 papers
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition
Shiming Ge, Kangkai Zhang, Haolin Liu +4
In spite of great success in many image recognition tasks achieved by recent deep models, directly applying them to recognize low-resolution images may suffer from low accuracy due…
Deep Multimodality Learning for UAV Video Aesthetic Quality Assessment
Qi Kuang, Xin Jin, Qinping Zhao +1
Despite the growing number of unmanned aerial vehicles (UAVs) and aerial videos, there is a paucity of studies focusing on the aesthetics of aerial videos that can provide valuable…
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…
Privacy Preserving Face Retrieval in the Cloud for Mobile Users
Xin Jin, Shiming Ge, Chenggen Song
Recently, cloud storage and processing have been widely adopted. Mobile users in one family or one team may automatically backup their photos to the same shared cloud storage space…
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…