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researcher

Aykut Erdem

Koç University, Istanbul, Turkey

34 papers hereh-index 305.3k citations122 works total

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

author position
  • middle author22
  • last author11

Across the 33 of 34 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.CL6
  • cs.RO2
  • eess.IV2
  • cs.AI1
affiliations
  • Koç University, Istanbul, Turkey
Homepage
same name
  • Aykut Erdem — 26 papers, h 10
  • Aykut Erdem — 2 papers

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
20112023
most citedLearning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts

116 citations · 371 across the 28 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 1 cited

Detecting Euphemisms with Literal Descriptions and Visual Imagery

İlker Kesen, Aykut Erdem, Erkut Erdem +1

This paper describes our two-stage system for the Euphemism Detection shared task hosted by the 3rd Workshop on Figurative Language Processing in conjunction with EMNLP 2022. Euphe…

cs.CV2022

Disentangling Content and Motion for Text-Based Neural Video Manipulation

Levent Karacan, Tolga Kerimoğlu, İsmail İnan +3

Giving machines the ability to imagine possible new objects or scenes from linguistic descriptions and produce their realistic renderings is arguably one of the most challenging pr…

cs.CV2022

Perception-Distortion Trade-off in the SR Space Spanned by Flow Models

Cansu Korkmaz, A. Murat Tekalp, Zafer Dogan +2

Flow-based generative super-resolution (SR) models learn to produce a diverse set of feasible SR solutions, called the SR space. Diversity of SR solutions increases with the temper…

cs.CV2022★ 5 cited

Stochastic Video Prediction with Structure and Motion

Adil Kaan Akan, Sadra Safadoust, Fatma Güney

While stochastic video prediction models enable future prediction under uncertainty, they mostly fail to model the complex dynamics of real-world scenes. For example, they cannot p…

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