Recent deep networks that directly handle points in a point set, eg, PointNet, have been
state-of-the-art for supervised learning tasks on point clouds such as classification and …

We consider the problem of estimating 3-d structure from a single still image of an outdoor
urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. We …

Accurate classification of Pap smear images becomes the challenging task in medical image
processing. This can be improved in two ways. One way is by selecting suitable well defined …

This paper presents a procedure for automatic extraction and segmentation of a class-
specific object (or region) by learning class-specific boundaries. We describe and evaluate …

Cervical cancer accounts for a large number of fatalities among cancer patients. It is ranked
fourth in the total cancer patients and total number of deaths due to cancer. Developing …

Рассмотрен метод распознавания контуров зданий и служебной информации на
топографическом плане. Предложены метод трехмерной реконструкции объектов …

В статье описывается метод реконструкции городского пространства на основе
данных топографического плана. Также предлагается метод трехмерной …

We studied the problem of 3D reconstruction from a single image. The 3D reconstruction is
one of the basic problems in Computer Vision. The 3D reconstruction is usually achieved by …

АННОТАЦИЯ В данной работе рассматривается проблема несбалансированных
классов (imbalanced data) в задачах классификации, характерная для области …

This thesis is about the detection and tracking of vanishing points in images, its application
to rectification of planes, and the additional considerations that the road scenario imposes …