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Muhammet Baştan

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.MM1
ORCID 0000-0001-9714-2643

identity via Semantic Scholar / OpenAlex

most citedMT3S: Mobile Turkish Scene Text-to-Speech System for the Visually Impaired

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Unsupervised and semi-supervised co-salient object detection via segmentation frequency statistics

Souradeep Chakraborty, Shujon Naha, Muhammet Bastan +2

In this paper, we address the detection of co-occurring salient objects (CoSOD) in an image group using frequency statistics in an unsupervised manner, which further enable us to d…

cs.CV2023

ProcSim: Proxy-based Confidence for Robust Similarity Learning

Oriol Barbany, Xiaofan Lin, Muhammet Bastan +1

Deep Metric Learning (DML) methods aim at learning an embedding space in which distances are closely related to the inherent semantic similarity of the inputs. Previous studies hav…

cs.CV2016★ 1 cited

Active Canny: Edge Detection and Recovery with Open Active Contour Models

Muhammet Bastan, S. Saqib Bukhari, Thomas M. Breuel

We introduce an edge detection and recovery framework based on open active contour models (snakelets). This is motivated by the noisy or broken edges output by standard edge detect…

cs.MM2016★ 2 cited

MT3S: Mobile Turkish Scene Text-to-Speech System for the Visually Impaired

Muhammet Bastan, Hilal Kandemir, Busra Canturk

Reading text is one of the essential needs of the visually impaired people. We developed a mobile system that can read Turkish scene and book text, using a fast gradient-based mult…

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