149 citations · 582 across the 49 of their papers we have counts for
14 papers · 1 filter
Gated SwitchGAN for multi-domain facial image translation
Xiaokang Zhang, Yuanlue Zhu, Wenting Chen +2
Recent studies on multi-domain facial image translation have achieved impressive results. The existing methods generally provide a discriminator with an auxiliary classifier to imp…
Fingerprint Presentation Attack Detection by Channel-wise Feature Denoising
Feng Liu, Zhe Kong, Haozhe Liu +2
Due to the diversity of attack materials, fingerprint recognition systems (AFRSs) are vulnerable to malicious attacks. It is thus important to propose effective fingerprint present…
Learning Graph Representation of Person-specific Cognitive Processes from Audio-visual Behaviours for Automatic Personality Recognition
Siyang Song, Zilong Shao, Shashank Jaiswal +3
This approach builds on two following findings in cognitive science: (i) human cognition partially determines expressed behaviour and is directly linked to true personality traits;…
Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
Jinheng Xie, Cheng Luo, Xiangping Zhu +3
We present a two-stage learning framework for weakly supervised object localization (WSOL). While most previous efforts rely on high-level feature based CAMs (Class Activation Maps…
Manifold-preserved GANs
Haozhe Liu, Hanbang Liang, Xianxu Hou +3
Generative Adversarial Networks (GANs) have been widely adopted in various fields. However, existing GANs generally are not able to preserve the manifold of data space, mainly due…
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Zhe Kong, Wentian Zhang, Feng Liu +4
Biometric systems are vulnerable to Presentation Attacks (PA) performed using various Presentation Attack Instruments (PAIs). Even though there are numerous Presentation Attack Det…
WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo +1
Though widely used in image classification, convolutional neural networks (CNNs) are prone to noise interruptions, i.e. the CNN output can be drastically changed by small image noi…
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Zhongliang Li, Zhihao Jin, Xuechen Li +1
The Coronavirus disease 2019 (COVID-19) has rapidly spread all over the world since its first report in December 2019 and thoracic computed tomography (CT) has become one of the ma…
Neuron segmentation using 3D wavelet integrated encoder-decoder network
Qiufu Li, Linlin Shen
Motivation: 3D neuron segmentation is a key step for the neuron digital reconstruction, which is essential for exploring brain circuits and understanding brain functions. However,…
Learning a Model-Driven Variational Network for Deformable Image Registration
Xi Jia, Alexander Thorley, Wei Chen +9
Data-driven deep learning approaches to image registration can be less accurate than conventional iterative approaches, especially when training data is limited. To address this wh…
AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
Bing Li, Yuanlue Zhu, Yitong Wang +3
In this paper, we propose a novel framework to translate a portrait photo-face into an anime appearance. Our aim is to synthesize anime-faces which are style-consistent with a give…
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism
Wei Chen, Xi Jia, Hyung Jin Chang +3
In this paper, we focus on category-level 6D pose and size estimation from monocular RGB-D image. Previous methods suffer from inefficient category-level pose feature extraction wh…
Group-wise Inhibition based Feature Regularization for Robust Classification
Haozhe Liu, Haoqian Wu, Weicheng Xie +2
The convolutional neural network (CNN) is vulnerable to degraded images with even very small variations (e.g. corrupted and adversarial samples). One of the possible reasons is tha…
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
Luyan Liu, Zhiwei Wen, Songwei Liu +6
Considering the scarcity of medical data, most datasets in medical image analysis are an order of magnitude smaller than those of natural images. However, most Network Architecture…