398 citations · 2k across the 69 of their papers we have counts for
20 papers · 1 filter
Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images
Cuican Yu, Guansong Lu, Yihan Zeng +7
Generating 3D faces from textual descriptions has a multitude of applications, such as gaming, movie, and robotics. Recent progresses have demonstrated the success of unconditional…
Keypoint-Guided Optimal Transport: Models, Algorithms, and Applications
Xiang Gu, Yucheng Yang, Wei Zeng +2
Existing Optimal Transport (OT) methods mainly derive the optimal transport plan/matching under the criterion of transport cost/distance minimization, which may cause incorrect mat…
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
Jiahong Fu, Hong Wang, Qi Xie +3
Although current deep learning-based methods have gained promising performance in the blind single image super-resolution (SISR) task, most of them mainly focus on heuristically co…
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions
Qi Xie, Qian Zhao, Zongben Xu +1
It has been shown that equivariant convolution is very helpful for many types of computer vision tasks. Recently, the 2D filter parametrization technique plays an important role wh…
Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field
Haixia Bi, Lin Xu, Xiangyong Cao +2
Polarimetric synthetic aperture radar (PolSAR) image segmentation is currently of great importance in image processing for remote sensing applications. However, it is a challenging…
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Qi Xie, Minghao Zhou, Qian Zhao +3
Hyperspectral imaging can help better understand the characteristics of different materials, compared with traditional image systems. However, only high-resolution multispectral (H…
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN
Heran Yang, Jian Sun, Aaron Carass +4
The cycleGAN is becoming an influential method in medical image synthesis. However, due to a lack of direct constraints between input and synthetic images, the cycleGAN cannot guar…
Semi-supervised Transfer Learning for Image Rain Removal
Wei Wei, Deyu Meng, Qian Zhao +2
Single image rain removal is a typical inverse problem in computer vision. The deep learning technique has been verified to be effective for this task and achieved state-of-the-art…
Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang, Jian Sun, Huibin Li +2
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of method…
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning
Kaidong Wang, Yao Wang, Qian Zhao +2
It is known that Boosting can be interpreted as a gradient descent technique to minimize an underlying loss function. Specifically, the underlying loss being minimized by the tradi…
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang, Jian Sun, Huibin Li +1
Compressive sensing (CS) is an effective approach for fast Magnetic Resonance Imaging (MRI). It aims at reconstructing MR images from a small number of under-sampled data in k-spac…
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
Xiangyong Cao, Feng Zhou, Lin Xu +3
This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian…
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Yang Chen, Xiangyong Cao, Qian Zhao +2
Hyperspectral image (HSI) denoising has been attracting much research attention in remote sensing area due to its importance in improving the HSI qualities. The existing HSI denois…
Low-rank Matrix Factorization under General Mixture Noise Distributions
Xiangyong Cao, Qian Zhao, Deyu Meng +2
Many computer vision problems can be posed as learning a low-dimensional subspace from high dimensional data. The low rank matrix factorization (LRMF) represents a commonly utilize…
Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition
Huibin Li, Jian Sun, Dong Wang +2
In this paper, we present a novel approach to automatic 3D Facial Expression Recognition (FER) based on deep representation of facial 3D geometric and 2D photometric attributes. A…
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
Jian Sun, Wenfei Cao, Zongben Xu +1
In this paper, we address the problem of estimating and removing non-uniform motion blur from a single blurry image. We propose a deep learning approach to predicting the probabili…
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements
Wenfei Cao, Yao Wang, Jian Sun +4
Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling.…
Video Primal Sketch: A Unified Middle-Level Representation for Video
Zhi Han, Zongben Xu, Song-Chun Zhu
This paper presents a middle-level video representation named Video Primal Sketch (VPS), which integrates two regimes of models: i) sparse coding model using static or moving primi…
On the Optimal Solution of Weighted Nuclear Norm Minimization
Qi Xie, Deyu Meng, Shuhang Gu +4
In recent years, the nuclear norm minimization (NNM) problem has been attracting much attention in computer vision and machine learning. The NNM problem is capitalized on its conve…
A recursive divide-and-conquer approach for sparse principal component analysis
Qian Zhao, Deyu Meng, Zongben Xu
In this paper, a new method is proposed for sparse PCA based on the recursive divide-and-conquer methodology. The main idea is to separate the original sparse PCA problem into a se…