8 Result(s)
within
Rami Ben-Ari
Computer Science
Image Processing and Computer Vision
-
Chapter and Conference Paper
Classification-Regression for Chart Comprehension
Chart question answering (CQA) is a task used for assessing chart comprehension, which is fundamentally different from understanding natural images. CQA requires analyzing the relationships between the textual...
-
Chapter and Conference Paper
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning
To interpret a breast MRI study, a radiologist has to examine over 1000 images, and integrate spatial and temporal information from multiple sequences. The automated detection and classification of suspicious...
-
Article
A computationally efficient tracker with direct appearance-kinematic measure and adaptive Kalman filter
Visual tracking is considered a common procedure in many real-time applications. Such systems are required to track objects under changes in illumination, dynamic viewing angle, image noise and occlusions (to ...
-
Chapter and Conference Paper
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography
This paper addresses the problem of detection and classification of tumors in breast mammograms. We introduce a novel system that integrates several modules including a breast segmentation module and a fibrogl...
-
Chapter and Conference Paper
Image De-noising by Bayesian Regression
We present a kernel based approach for image de-noising in the spatial domain. The crux of evaluation for the kernel weights is addressed by a Bayesian regression. This approach introduces an adaptive filter, ...
-
Article
A Geometric Framework and a New Criterion in Optical Flow Modeling
We evaluate the dense optical flow between two frames via variational approach. In this paper, a new framework for deriving the regularization term is introduced giving a geometric insight into the action of a...
-
Article
A Geometric Approach for Regularization of the Data Term in Stereo-Vision
Every stereovision application must cope with the correspondence problem. The space of the matching variables, often consisting of spatial coordinates, intensity and disparity, is commonly referred as the data...
-
Chapter and Conference Paper
Geodesic Active Contours with Combined Shape and Appearance Priors
We present a new object segmentation method that is based on geodesic active contours with combined shape and appearance priors. It is known that using shape priors can significantly improve object segmentation i...
