Search Results for author:
Found 17 papers, 6 papers with code
Learning to Recover Spectral Reflectance from RGB Images
Instead of relying on naive end-to-end training, we also propose a novel architecture that integrates the physical relationship between the spectral reflectance and the corresponding RGB images into the network based on our mathematical analysis.
SF2Former: Amyotrophic Lateral Sclerosis Identification From Multi-center MRI Data Using Spatial and Frequency Fusion Transformer
Finally, a majority voting scheme has been employed to those coronal slices of a particular subject to produce the final classification decision.
Glass Segmentation with RGB-Thermal Image Pairs
Due to the large difference between the transmission property of visible light and that of the thermal energy through the glass where most glass is transparent to the visible light but opaque to thermal energy, glass regions of a scene are made more distinguishable with a pair of RGB and thermal images than solely with an RGB image.
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution
Transformer-based architectures start to emerge in single image super resolution (SISR) and have achieved promising performance.
Blind Image Deconvolution Using Variational Deep Image Prior
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization.
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
In this paper, we propose a new architecture which consists of multiple Atrous Spatial Pyramid Deformable Convolution (ASPDC) modules to deblur an image end-to-end with more flexibility.
Online Learnable Keyframe Extraction in Videos and its Application with Semantic Word Vector in Action Recognition
Instead, the important frames called keyframes not only are helpful in the recognition of an action but also can reduce the processing time of each video sequence for classification or in other applications, e. g. summarization.
Blind Image Super-Resolution with Spatial Context Hallucination
Deep convolution neural networks (CNNs) play a critical role in single image super-resolution (SISR) since the amazing improvement of high performance computing.
Do-It-Yourself Single Camera 3D Pointer Input Device
We present a new algorithm for single camera 3D reconstruction, or 3D input for human-computer interfaces, based on precise tracking of an elongated object, such as a pen, having a pattern of colored bands.
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene
This paper presents the first approach for simultaneously recovering the 3D shape of both the wavy water surface and the moving underwater scene.
Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization
3D reconstruction of dynamic fluid surfaces is an open and challenging problem in computer vision.
Texture Classification of MR Images of the Brain in ALS using CoHOG
For the first time we extend a well-known gradient-based method, Co-occurrence Histograms of Oriented Gradients (CoHOG) to extract texture features from 2D Magnetic Resonance Images (MRI).
Frequency-Based Environment Matting by Compressive Sensing
Extracting environment mattes using existing approaches often requires either thousands of captured images or a long processing time, or both.
Design and Implementation of a 3D Undersea Camera System
The goal of our system is to provide a 3D model of the undersea habitat in a long-term continuous manner.
Two-View Camera Housing Parameters Calibration for Multi-Layer Flat Refractive Interface
At the heart of our method is an important finding that the thickness of the interface can be estimated from a set of pixel correspondences in the stereo images when the refractive axis is given.
Frequency-Based 3D Reconstruction of Transparent and Specular Objects
3D reconstruction of transparent and specular objects is a very challenging topic in computer vision.
Underwater Camera Calibration Using Wavelength Triangulation
In underwater imagery, the image formation process includes refractions that occur when light passes from water into the camera housing, typically through a flat glass port.
