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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 2021Show all

4 papers · 1 filter

cs.CV2021

SLAMP: Stochastic Latent Appearance and Motion Prediction

Adil Kaan Akan, Erkut Erdem, Aykut Erdem +1

Motion is an important cue for video prediction and often utilized by separating video content into static and dynamic components. Most of the previous work utilizing motion is det…

cs.CV2021

A Gated Fusion Network for Dynamic Saliency Prediction

Aysun Kocak, Erkut Erdem, Aykut Erdem

Predicting saliency in videos is a challenging problem due to complex modeling of interactions between spatial and temporal information, especially when ever-changing, dynamic natu…

cs.RO2021★ 9 cited

Object and Relation Centric Representations for Push Effect Prediction

Ahmet E. Tekden, Aykut Erdem, Erkut Erdem +2

Pushing is an essential non-prehensile manipulation skill used for tasks ranging from pre-grasp manipulation to scene rearrangement, reasoning about object relations in the scene,…

cs.CL2021

Cross-lingual Visual Pre-training for Multimodal Machine Translation

Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac +4

Pre-trained language models have been shown to improve performance in many natural language tasks substantially. Although the early focus of such models was single language pre-tra…

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