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researcher

V. B. Yesilkaynak

5 papers hereh-index 254 citations7 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedDetecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks

44 citations · 52 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 1 cited

RLSEP: Learning Label Ranks for Multi-label Classification

Emine Dari, V. Bugra Yesilkaynak, Alican Mertan +1

Multi-label ranking maps instances to a ranked set of predicted labels from multiple possible classes. The ranking approach for multi-label learning problems received attention for…

cs.CV2021★ 44 cited

Detecting Visual Design Principles in Art and Architecture through Deep Convolutional Neural Networks

Gozdenur Demir, Asli Cekmis, Vahit Bugra Yesilkaynak +1

Visual design is associated with the use of some basic design elements and principles. Those are applied by the designers in the various disciplines for aesthetic purposes, relying…

cs.CV2020★ 7 cited

EfficientSeg: An Efficient Semantic Segmentation Network

Vahit Bugra Yesilkaynak, Yusuf H. Sahin, Gozde Unal

Deep neural network training without pre-trained weights and few data is shown to need more training iterations. It is also known that, deeper models are more successful than their…

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