3 citations · 4 across the 4 of their papers we have counts for
8 papers
Image Deraining and Denoising Convolutional Neural Network ForAutonomous Driving
Kaige Wang, Long Chen, TIanming Wang +3
Perception plays an important role in reliable decision-making for autonomous vehicles. Over the last ten years, huge advances have been made in the field of perception. However, p…
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
HanQin Cai, Jian-Feng Cai, Tianming Wang +1
Consider a spectrally sparse signal that consists of complex sinusoids with or without damping. We study the robust recovery problem for the spectrally sparse…
SketchyCoreSVD: SketchySVD from Random Subsampling of the Data Matrix
Chandrajit Bajaj, Yi Wang, Tianming Wang
We present a method called SketchyCoreSVD to compute the near-optimal rank r SVD of a data matrix by building random sketches only from its subsampled columns and rows. We provide…
Fast Cadzow's Algorithm and a Gradient Variant
Haifeng Wang, Jian-Feng Cai, Tianming Wang +1
The Cadzow's algorithm is a signal denoising and recovery method which was designed for signals corresponding to low rank Hankel matrices. In this paper we first introduce a Fast C…
Blind Hyperspectral-Multispectral Image Fusion via Graph Laplacian Regularization
Chandrajit Bajaj, Tianming Wang
Fusing a low-resolution hyperspectral image (HSI) and a high-resolution multispectral image (MSI) of the same scene leads to a super-resolution image (SRI), which is information ri…
Outlier Detection using Generative Models with Theoretical Performance Guarantees
Jirong Yi, Anh Duc Le, Tianming Wang +2
This paper considers the problem of recovering signals from compressed measurements contaminated with sparse outliers, which has arisen in many applications. In this paper, we prop…