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Vasileios Argyriou

11 papers hereh-index 11522 citations23 works total

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

author position
  • middle author9
  • last author2

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.AI1
  • eess.IV1
same name
  • Vasileios Argyriou — 25 papers, h 16
  • Vasileios Argyriou — 9 papers, h 5
  • Vasileios Argyriou — 4 papers, h 15
  • Vasileios Argyriou — 2 papers
  • Vasileios Argyriou — 2 papers, h 2
  • Vasileios Argyriou — 1 paper, h 3

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
20182026
most citedSemi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs

10 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Summarizing Videos with Attention

Jiri Fajtl, Hajar Sadeghi Sokeh, Vasileios Argyriou +2

In this work we propose a novel method for supervised, keyshots based video summarization by applying a conceptually simple and computationally efficient soft, self-attention mecha…

cs.CV2018

Object 3D Reconstruction based on Photometric Stereo and Inverted Rendering

Anish R. Khadka, Paolo Remagnino, Vasileios Argyriou

Methods for 3D reconstruction such as Photometric stereo recover the shape and reflectance properties using multiple images of an object taken with variable lighting conditions fro…

cs.AI2018

AMNet: Memorability Estimation with Attention

Jiri Fajtl, Vasileios Argyriou, Dorothy Monekosso +1

In this paper we present the design and evaluation of an end-to-end trainable, deep neural network with a visual attention mechanism for memorability estimation in still images. We…

cs.CV2018

Superframes, A Temporal Video Segmentation

Hajar Sadeghi Sokeh, Vasileios Argyriou, Dorothy Monekosso +1

The goal of video segmentation is to turn video data into a set of concrete motion clusters that can be easily interpreted as building blocks of the video. There are some works on…

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