120 citations · 570 across the 46 of their papers we have counts for
46 papers
Collaborative Auto-encoding for Blind Image Quality Assessment
Zehong Zhou, Fei Zhou, Guoping Qiu
Blind image quality assessment (BIQA) is a challenging problem with important real-world applications. Recent efforts attempting to exploit powerful representations by deep neural…
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…
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
Zhendi Gong, Andrew P. French, Guoping Qiu +1
Convolutional neural networks (CNNs) achieved the state-of-the-art performance in medical image segmentation due to their ability to extract highly complex feature representations.…
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…
Restoration of User Videos Shared on Social Media
Hongming Luo, Fei Zhou, Kin-man Lam +1
User videos shared on social media platforms usually suffer from degradations caused by unknown proprietary processing procedures, which means that their visual quality is poorer t…
Lightness Modulated Deep Inverse Tone Mapping
Kanglin Liu, Gaofeng Cao, Jiang Duan +1
Single-image HDR reconstruction or inverse tone mapping (iTM) is a challenging task. In particular, recovering information in over-exposed regions is extremely difficult because de…
Clustering-Based Representation Learning through Output Translation and Its Application to Remote--Sensing Images
Qinglin Li, Bin Li, Jonathan M Garibaldi +1
In supervised deep learning, learning good representations for remote--sensing images (RSI) relies on manual annotations. However, in the area of remote sensing, it is hard to obta…
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…
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning
Zhi Chen, Jiang Duan, Li Kang +1
Anomaly detection has wide applications in machine intelligence but is still a difficult unsolved problem. Major challenges include the rarity of labeled anomalies and it is a clas…
Super-resolving Compressed Images via Parallel and Series Integration of Artifact Reduction and Resolution Enhancement
Hongming Luo, Fei Zhou, Guangsen Liao +1
In real-world applications, such as sharing photos on social media platforms, images are always not only sub-sampled but also heavily compressed thus often containing various artef…
Quarter Laplacian Filter for Edge Aware Image Processing
Yuanhao Gong, Wenming Tang, Lebin Zhou +2
This paper presents a quarter Laplacian filter that can preserve corners and edges during image smoothing. Its support region is , which is smaller than the su…
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…
VHS to HDTV Video Translation using Multi-task Adversarial Learning
Hongming Luo, Guangsen Liao, Xianxu Hou +3
There are large amount of valuable video archives in Video Home System (VHS) format. However, due to the analog nature, their quality is often poor. Compared to High-definition tel…
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…
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…
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation
Jun Liu, Qing Li, Rui Cao +2
Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently,…
PoseGAN: A Pose-to-Image Translation Framework for Camera Localization
Kanglin Liu, Qing Li, Guoping Qiu
Camera localization is a fundamental requirement in robotics and computer vision. This paper introduces a pose-to-image translation framework to tackle the camera localization prob…
Class-Aware Domain Adaptation for Improving Adversarial Robustness
Xianxu Hou, Jingxin Liu, Bolei Xu +3
Recent works have demonstrated convolutional neural networks are vulnerable to adversarial examples, i.e., inputs to machine learning models that an attacker has intentionally desi…
Gaussian Curvature Filter on 3D Meshes
Wenming Tang, Yuanhao Gong, Kanglin Liu +4
Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…
Discriminative Dimension Reduction based on Mutual Information
Orod Razeghi, Guoping Qiu
The "curse of dimensionality" is a well-known problem in pattern recognition. A widely used approach to tackling the problem is a group of subspace methods, where the original feat…
Object Recognition with Human in the Loop Intelligent Frameworks
Orod Razeghi, Guoping Qiu
Classifiers embedded within human in the loop visual object recognition frameworks commonly utilise two sources of information: one derived directly from the imagery data of an obj…
Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation
Xianxu Hou, Jingxin Liu, Bolei Xu +6
Supervised semantic segmentation normally assumes the test data being in a similar data domain as the training data. However, in practice, the domain mismatch between the training…
Spectral Regularization for Combating Mode Collapse in GANs
Kanglin Liu, Wenming Tang, Fei Zhou +1
Despite excellent progress in recent years, mode collapse remains a major unsolved problem in generative adversarial networks (GANs).In this paper, we present spectral regularizati…
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training
Xianxu Hou, Ke Sun, Linlin Shen +1
We present a new method for improving the performances of variational autoencoder (VAE). In addition to enforcing the deep feature consistent principle thus ensuring the VAE output…