research
∙
08/28/2023
Referring Image Segmentation Using Text Supervision
Existing Referring Image Segmentation (RIS) methods typically require ex...
share
research
∙
08/02/2023
Digital Twin Brain: a simulation and assimilation platform for whole human brain
In this work, we present a computing platform named digital twin brain (...
research
∙
03/23/2023
Neural Preset for Color Style Transfer
In this paper, we present a Neural Preset technique to address the limit...
research
∙
03/15/2023
Capacity-Achieving Sparse Regression Codes via Vector Approximate Message Passing
Sparse regression codes (SPARCs) are a promising coding scheme that can ...
research
∙
02/27/2023
Do as You Say: Consistency Detection of Data Practice in Program Code and Privacy Policy in Mini-App
Mini-app is an emerging form of mobile application that combines web tec...
research
∙
02/09/2023
Gaussian Process-Gated Hierarchical Mixtures of Experts
In this paper, we propose novel Gaussian process-gated hierarchical mixt...
research
∙
02/07/2023
Mismatched estimation of non-symmetric rank-one matrices corrupted by structured noise
We study the performance of a Bayesian statistician who estimates a rank...
research
∙
01/29/2023
Sequential Estimation of Gaussian Process-based Deep State-Space Models
We consider the problem of sequential estimation of the unknowns of stat...
research
∙
01/29/2023
Data-driven intelligent computational design: Method, techniques, and applications
Data-driven intelligent computational design (DICD) is a research hotspo...
research
∙
10/13/2022
Wider and Higher: Intensive Integration and Global Foreground Perception for Image Matting
This paper reviews recent deep-learning-based matting research and conce...
research
∙
10/13/2022
Hierarchical and Progressive Image Matting
Most matting researches resort to advanced semantics to achieve high-qua...
research
∙
05/18/2022
Sparse superposition codes with rotational invariant coding matrices for memoryless channels
We recently showed in [1] the superiority of certain structured coding m...
research
∙
02/09/2022
Sparse superposition codes under VAMP decoding with generic rotational invariant coding matrices
Sparse superposition codes were originally proposed as a capacity-achiev...
research
∙
06/28/2021
Prior-Induced Information Alignment for Image Matting
Image matting is an ill-posed problem that aims to estimate the opacity ...
research
∙
01/07/2021
Multi-scale Information Assembly for Image Matting
Image matting is a long-standing problem in computer graphics and vision...
research
∙
10/13/2018
Deep learning based cloud detection for remote sensing images by the fusion of multi-scale convolutional features
Cloud detection is an important preprocessing step for the precise appli...
research
∙
06/12/2015
