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researcher

Marius Leordeanu

40 papers hereh-index 335.1k citations84 works total

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

author position
  • sole author1
  • first author5
  • middle author3
  • last author31

Across the 40 of 40 papers where every author was matched, so the position is known.

fields
  • cs.CV35
  • cs.LG2
  • cs.CL1
  • eess.IV1
  • q-bio.PE1
same name
  • Marius Leordeanu — 12 papers, h 4
  • Marius Leordeanu — 6 papers, h 1
  • Marius Leordeanu — 3 papers, h 1
  • Marius Leordeanu — 3 papers, h 1
  • Marius Leordeanu — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedUnsupervised learning of foreground object detection

43 citations · 162 across the 34 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CV2017★ 1 cited

Learning a Robust Society of Tracking Parts

Elena Burceanu, Marius Leordeanu

Object tracking is an essential task in computer vision that has been studied since the early days of the field. Being able to follow objects that undergo different transformations…

cs.CV2017★ 6 cited

How hard can it be? Estimating the difficulty of visual search in an image

Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu +3

We address the problem of estimating image difficulty defined as the human response time for solving a visual search task. We collect human annotations of image difficulty for the…

cs.CV2017

Unsupervised object segmentation in video by efficient selection of highly probable positive features

Emanuela Haller, Marius Leordeanu

We address an essential problem in computer vision, that of unsupervised object segmentation in video, where a main object of interest in a video sequence should be automatically s…

cs.CV2017

Unsupervised learning from video to detect foreground objects in single images

Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu

Unsupervised learning from visual data is one of the most difficult challenges in computer vision, being a fundamental task for understanding how visual recognition works. From a p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.