skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


  • NSF Public Access
  • Search Results
  • A disparity refinement framework for learning-based stereo matching methods in cross-domain setting for laparoscopic images
Title: A disparity refinement framework for learning-based stereo matching methods in cross-domain setting for laparoscopic images
Award ID(s):
1808530
PAR ID:
10487898
Author(s) / Creator(s):
; ;
Editor(s):
Linte, Cristian A.; Siewerdsen, Jeffrey H.
Publisher / Repository:
SPIE
Date Published:
Journal Name:
Proc SPIE Medical Imaging
Volume:
12466
ISSN:
1605-7422
ISBN:
9781510660373
Page Range / eLocation ID:
1246607-1-7
Format(s):
Medium: X
Location:
San Diego, United States
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; (, Southeastern Robert Noyce Conference)
    null (Ed.)
    This presentation poster summarizes the recruitment efforts, insights gained, and lessons learned through the VolsTeach for Appalachia project that focuses on recruiting and preparing community college students in becoming STEM teachers in East Tennessee. 
    more » « less
  2. ; (, Journal of Construction Engineering and Management)
    null (Ed.)
  3. (, Schloss Dagstuhl – Leibniz-Zentrum für Informatik)
    Beyersdorff, Olaf; Kanté, Mamadou Moustapha; Kupferman, Orna; Lokshtanov, Daniel (Ed.)
    Given a set P of n points and a set S of n segments in the plane, we consider the problem of computing for each segment of S its closest point in P. The previously best algorithm solves the problem in n^{4/3}2^{O(log^*n)} time [Bespamyatnikh, 2003] and a lower bound (under a somewhat restricted model) Ω(n^{4/3}) has also been proved. In this paper, we present an O(n^{4/3}) time algorithm and thus solve the problem optimally (under the restricted model). In addition, we also present data structures for solving the online version of the problem, i.e., given a query segment (or a line as a special case), find its closest point in P. Our new results improve the previous work. 
    more » « less
  4. ; ; ; (, Sustainable Earth Reviews)
  5. ; ; ; ; ; (, ACM Conference on Datta and Application Security and Privacy (CODASPY) 2021)
    null (Ed.)
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email