activity
20172024
most citedDeep Multimodality Learning for UAV Video Aesthetic Quality Assessment

29 citations · 42 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2024

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…

cs.CV202029 cited

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…

cs.CV2020

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…

cs.CV2019

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…

cs.CV20197 cited

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…

cs.CV2017

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…