research
∙
05/27/2023
Deep learning network to correct axial and coronal eye motion in 3D OCT retinal imaging
Optical Coherence Tomography (OCT) is one of the most important retinal ...
share
research
∙
06/25/2021
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection
Ultrasound scanning is essential in several medical diagnostic and thera...
research
∙
02/09/2021
SG2Caps: Revisiting Scene Graphs for Image Captioning
The mainstream image captioning models rely on Convolutional Neural Netw...
research
∙
01/23/2019
Toward Joint Image Generation and Compression using Generative Adversarial Networks
In this paper, we present a generative adversarial network framework tha...
research
∙
01/23/2019
Random Forest with Learned Representations for Semantic Segmentation
In this work, we present a random forest framework that learns the weigh...
research
∙
05/27/2018
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
JPEG is one of the widely used lossy compression methods. JPEG-compresse...
research
∙
03/12/2018
Correction by Projection: Denoising Images with Generative Adversarial Networks
Generative adversarial networks (GANs) transform low-dimensional latent ...
research
∙
02/05/2018
Image restoration with generalized Gaussian mixture model patch priors
Patch priors have became an important component of image restoration. A ...
research
∙
10/23/2017
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100× speed-up
Image restoration methods aim to recover the underlying clean image from...
research
∙
08/05/2017
Depth Adaptive Deep Neural Network for Semantic Segmentation
In this work, we present the depth-adaptive deep neural network using a ...
research
∙
03/30/2017
Relevance Subject Machine: A Novel Person Re-identification Framework
We propose a novel method called the Relevance Subject Machine (RSM) to ...
research
∙
04/07/2016
A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS ...
research
∙
03/08/2016
Hand Segmentation for Hand-Object Interaction from Depth map
Hand-object interaction is important for many applications such as augme...
research
∙
01/19/2016
Adaptive Image Denoising by Mixture Adaptation
We propose an adaptive learning procedure to learn patch-based image pri...
research
∙
10/04/2015
Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map
Real-time hand articulations tracking is important for many applications...
research
∙
09/10/2015
Real-time Sign Language Fingerspelling Recognition using Convolutional Neural Networks from Depth map
Sign language recognition is important for natural and convenient commun...
research
∙
06/30/2015
Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution
This letter presents a novel approach to extract reliable dense and long...
research
∙
07/14/2014
Depth Reconstruction from Sparse Samples: Representation, Algorithm, and Sampling
The rapid development of 3D technology and computer vision applications ...
research
∙
06/30/2014
