◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Agata Mosinska

4 papers hereh-index 12658 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedBeyond the Pixel-Wise Loss for Topology-Aware Delineation

17 citations · 19 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2019

GLAMpoints: Greedily Learned Accurate Match points

Prune Truong, Stefanos Apostolopoulos, Agata Mosinska +3

We introduce a novel CNN-based feature point detector - GLAMpoints - learned in a semi-supervised manner. Our detector extracts repeatable, stable interest points with a dense cove…

cs.CV2019★ 2 cited

Joint Segmentation and Path Classification of Curvilinear Structures

Agata Mosinska, Mateusz Kozinski, Pascal Fua

Detection of curvilinear structures in images has long been of interest. One of the most challenging aspects of this problem is inferring the graph representation of the curvilinea…

cs.CV2018

Tracing in 2D to Reduce the Annotation Effort for 3D Deep Delineation

Mateusz Koziński, Agata Mosinska, Mathieu Salzmann +1

The difficulty of obtaining annotations to build training databases still slows down the adoption of recent deep learning approaches for biomedical image analysis. In this paper, w…

cs.CV2017★ 17 cited

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

Agata Mosinska, Pablo Marquez-Neila, Mateusz Kozinski +1

Delineation of curvilinear structures is an important problem in Computer Vision with multiple practical applications. With the advent of Deep Learning, many current approaches on…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.