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20132022
most citedImproving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training

61 citations · 211 across the 27 of their papers we have counts for

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25 papers · 1 filter

cs.CV2022

Aesthetically Relevant Image Captioning

Zhipeng Zhong, Fei Zhou, Guoping Qiu

Image aesthetic quality assessment (AQA) aims to assign numerical aesthetic ratings to images whilst image aesthetic captioning (IAC) aims to generate textual descriptions of the a…

cs.CV20221 cited

Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images

Qinglin Li, Guoping Qiu

Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have gre…

cs.CV2021

Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification

Wenming Tang Guoping Qiu

This paper presents new designs of graph convolutional neural networks (GCNs) on 3D meshes for 3D object segmentation and classification. We use the faces of the mesh as basic proc…

cs.CV20212 cited

A Discrete Scheme for Computing Image's Weighted Gaussian Curvature

Yuanhao Gong, Wenming Tang, Lebin Zhou +2

Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image…

cs.CV20208 cited

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

Qing Li, Jiasong Zhu, Jun Liu +4

Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…

cs.CV2020

Towards Disentangling Latent Space for Unsupervised Semantic Face Editing

Kanglin Liu, Gaofeng Cao, Fei Zhou +3

Facial attributes in StyleGAN generated images are entangled in the latent space which makes it very difficult to independently control a specific attribute without affecting the o…