research
∙
10/25/2022
A Survey on 3D-aware Image Synthesis
Recent years have seen remarkable progress in deep learning powered visu...
share
research
∙
07/16/2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition
Most existing compound facial expression recognition (FER) methods rely ...
research
∙
03/08/2022
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes
Over the past few years, deep convolutional neural network-based methods...
research
∙
01/18/2022
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework
Human emotions involve basic and compound facial expressions. However, c...
research
∙
11/24/2021
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
Few-shot semantic segmentation aims to segment novel-class objects in a ...
research
∙
09/24/2021
Dimension Reduction for Data with Heterogeneous Missingness
Dimension reduction plays a pivotal role in analysing high-dimensional d...
research
∙
05/17/2021
Deep Metric Learning for Few-Shot Image Classification: A Selective Review
Few-shot image classification is a challenging problem which aims to ach...
research
∙
04/19/2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes
Few-shot semantic segmentation aims to segment novel-class objects in a ...
research
∙
04/18/2021
Towards Open-World Text-Guided Face Image Generation and Manipulation
The existing text-guided image synthesis methods can only produce limite...
research
∙
12/06/2020
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
In this work, we propose TediGAN, a novel framework for multi-modal imag...
research
∙
11/29/2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
Few-shot learning for fine-grained image classification has gained recen...
research
∙
11/17/2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
This paper proposes a dual-supervised uncertainty inference (DS-UI) fram...
research
∙
10/11/2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world appli...
research
∙
10/09/2020
Controllable Continuous Gaze Redirection
In this work, we present interpGaze, a novel framework for controllable ...
research
∙
06/27/2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
Despite achieving state-of-the-art performance, deep learning methods ge...
research
∙
06/10/2020
Towards Certified Robustness of Metric Learning
Metric learning aims to learn a distance metric such that semantically s...
research
∙
05/22/2020
A Concise Review of Recent Few-shot Meta-learning Methods
Few-shot meta-learning has been recently reviving with expectations to m...
research
∙
04/20/2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
A deep neural network of multiple nonlinear layers forms a large functio...
research
∙
03/28/2020
Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth
Multi-focus image fusion, a technique to generate an all-in-focus image ...
research
∙
02/27/2020
XSepConv: Extremely Separated Convolution
Depthwise convolution has gradually become an indispensable operation fo...
research
∙
02/10/2020
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification
Facial Attribute Classification (FAC) has attracted increasing attention...
research
∙
11/02/2019
Domain-Aware No-Reference Image Quality Assessment
No-reference image quality assessment (NR-IQA) is a fundamental yet chal...
research
∙
11/02/2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Image-to-image translation has drawn great attention during the past few...
research
∙
11/01/2019
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches
Image generation task has received increasing attention because of its w...
research
∙
10/29/2019
Discriminant analysis based on projection onto generalized difference subspace
This paper discusses a new type of discriminant analysis based on the or...
research
∙
09/09/2019
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution
In this paper, we develop a concise but efficient network architecture c...
research
∙
03/14/2019
Constrained Mutual Convex Cone Method for Image Set Based Recognition
In this paper, we propose a method for image-set classification based on...
research
∙
02/26/2019
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
In human-computer interaction, it is important to accurately estimate th...
research
∙
08/09/2018
Deep Learning for Single Image Super-Resolution: A Brief Review
Single image super-resolution (SISR) is a notoriously challenging ill-po...
research
∙
07/28/2018
SEA: A Combined Model for Heat Demand Prediction
Heat demand prediction is a prominent research topic in the area of inte...
research
∙
07/08/2018
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint
A Bayesian approach termed BAyesian Least Squares Optimization with Nonn...
research
∙
02/09/2018
Metric Learning via Maximizing the Lipschitz Margin Ratio
In this paper, we propose the Lipschitz margin ratio and a new metric le...
research
∙
02/09/2018
Learning Local Metrics and Influential Regions for Classification
The performance of distance-based classifiers heavily depends on the und...
research
∙
05/30/2017