1.2k citations · 1.9k across the 34 of their papers we have counts for
36 papers
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Xi Weng, Yan Yan, Si Chen +2
Over the past few years, deep convolutional neural network-based methods have made great progress in semantic segmentation of street scenes. Some recent methods align feature maps…
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Xinyi Zou, Yan Yan, Jing-Hao Xue +2
Human emotions involve basic and compound facial expressions. However, current research on facial expression recognition (FER) mainly focuses on basic expressions, and thus fails t…
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu +3
Few-shot semantic segmentation aims to segment novel-class objects in a given query image with only a few labeled support images. Most advanced solutions exploit a metric learning…
Dimension Reduction for Data with Heterogeneous Missingness
Yurong Ling, Zijing Liu, Jing-Hao Xue
Dimension reduction plays a pivotal role in analysing high-dimensional data. However, observations with missing values present serious difficulties in directly applying standard di…
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments
Xiaoxu Li, Xiaochen Yang, Zhanyu Ma +1
Few-shot image classification is a challenging problem that aims to achieve the human level of recognition based only on a small number of training images. One main solution to few…
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu +3
Few-shot semantic segmentation aims to segment novel-class objects in a query image with only a few annotated examples in support images. Most of advanced solutions exploit a metri…
Towards Open-World Text-Guided Face Image Generation and Manipulation
Weihao Xia, Yujiu Yang, Jing-Hao Xue +1
The existing text-guided image synthesis methods can only produce limited quality results with at most \mbox{} resolution and the textual instructions are constrained…
GAN Inversion: A Survey
Weihao Xia, Yulun Zhang, Yujiu Yang +3
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN model, for the image to be faithfully reconstructed from the inverted code by the generato…
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
Weihao Xia, Yujiu Yang, Jing-Hao Xue +1
In this work, we propose TediGAN, a novel framework for multi-modal image generation and manipulation with textual descriptions. The proposed method consists of three components: S…
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Xiaoxu Li, Jijie Wu, Zhuo Sun +3
Few-shot learning for fine-grained image classification has gained recent attention in computer vision. Among the approaches for few-shot learning, due to the simplicity and effect…
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue +2
This paper proposes a dual-supervised uncertainty inference (DS-UI) framework for improving Bayesian estimation-based uncertainty inference (UI) in deep neural network (DNN)-based…
Controllable Continuous Gaze Redirection
Weihao Xia, Yujiu Yang, Jing-Hao Xue +1
In this work, we present interpGaze, a novel framework for controllable gaze redirection that achieves both precise redirection and continuous interpolation. Given two gaze images…
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Jiyang Xie, Zhanyu Ma, and Jianjun Lei +4
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate o…
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
Xiaoxu Li, Liyun Yu, Xiaochen Yang +4
Despite achieving state-of-the-art performance, deep learning methods generally require a large amount of labeled data during training and may suffer from overfitting when the samp…
Towards Certified Robustness of Distance Metric Learning
Xiaochen Yang, Yiwen Guo, Mingzhi Dong +1
Metric learning aims to learn a distance metric such that semantically similar instances are pulled together while dissimilar instances are pushed away. Many existing methods consi…
A Concise Review of Recent Few-shot Meta-learning Methods
Xiaoxu Li, Zhuo Sun, Jing-Hao Xue +1
Few-shot meta-learning has been recently reviving with expectations to mimic humanity's fast adaption to new concepts based on prior knowledge. In this short communication, we give…
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li, Dongliang Chang, Zhanyu Ma +5
A deep neural network of multiple nonlinear layers forms a large function space, which can easily lead to overfitting when it encounters small-sample data. To mitigate overfitting…
Real-MFF: A Large Realistic Multi-focus Image Dataset with Ground Truth
Juncheng Zhang, Qingmin Liao, Shaojun Liu +3
Multi-focus image fusion, a technique to generate an all-in-focus image from two or more partially-focused source images, can benefit many computer vision tasks. However, currently…
XSepConv: Extremely Separated Convolution
Jiarong Chen, Zongqing Lu, Jing-Hao Xue +1
Depthwise convolution has gradually become an indispensable operation for modern efficient neural networks and larger kernel sizes () have been applied to it recently. In thi…
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Longbiao Mao, Yan Yan, Jing-Hao Xue +1
Facial Attribute Classification (FAC) has attracted increasing attention in computer vision and pattern recognition. However, state-of-the-art FAC methods perform face detection/al…
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Weihao Xia, Yujiu Yang, Jing-Hao Xue
Image-to-image translation has drawn great attention during the past few years. It aims to translate an image in one domain to a given reference image in another domain. Due to its…
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions
Weihao Xia, Zhanglin Cheng, Yujiu Yang +1
Most state-of-the-art semantic segmentation approaches only achieve high accuracy in good conditions. In practically-common but less-discussed adverse environmental conditions, the…
Domain Fingerprints for No-reference Image Quality Assessment
Weihao Xia, Yujiu Yang, Jing-Hao Xue +1
Human fingerprints are detailed and nearly unique markers of human identity. Such a unique and stable fingerprint is also left on each acquired image. It can reveal how an image wa…
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Human-Like Sketches
Weihao Xia, Yujiu Yang, Jing-Hao Xue
Image generation has received increasing attention because of its wide application in security and entertainment. Sketch-based face generation brings more fun and better quality of…