Onur Bayrak

Machine Learning | Data Analysis

[Ugochukwu Madu @UgochukwuCFR]

“Zhang et al.” have to be the most cited authors alive.

[Onur Bayrak @onurcbayrak]

@ziyausta61 @kilicbatuhann @mustuner2 @YildizEdu teşekkür ederiz hocalarım

[Turkish Archives @TurkishArc]

In Olympic shooting, they use equipment like:

> A lens to avoid blur
> A lens for better precision
> ear protectors for noise

Then a Turkish guy (Dikeç) came and won a silver medal with just a pair of GLASSES.

[(fan) Trey @UTDTrey]

This Arda Guler video will forever be cold 🥶https://t.co/rZ7IcoV9wi

[3DOMFBK @3DOMFBK]

how to improve #3D #semantic #segmentation of under-represented #urban objects?
we present the ESTATE dataset to boost #classification performance of #deeplearning methods
https://t.co/se6iWgvT1W
#photogrammetry #LiDAR #mapping @ISPRS @FBK_research #AI

[3DOMFBK @3DOMFBK]

2 #PhD topics available for 3-years fully funded positions with us:
- Meta-learning for advanced #3D representations
- Multi-modal #learning-based #SLAM
https://t.co/rIUUEMCYrK
deadline: Jun 20
#photogrammetry #geomatics #robotics @FBK_research #mapping #AI #classification @uniud

[Onur Bayrak @onurcbayrak]

Congratulations my friend ! Excellent work !

[Atakan Bilgili @atakanbilgili6]

🚨🚨 New paper alert🚨🚨

I am delighted to announce that our new paper with my colleagues @AdrianTum1 and @kilicbatuhann has been published in Energy Conversion and Management (WoS: Q1 and IF: 10.4).

You can check it in the link below⬇️
https://t.co/q3OjVCVOdj

@ResearchYtu

[3DOMFBK @3DOMFBK]

our co-organized @EuroGeosciences session on "Advances in #Geospatial #AI for large-scale, regional & continental #mapping" was a success!
https://t.co/QsMvuMbeYM
stay-tuned for further activities on the topic!
@IGNFrance @FBK_research @USGS @NRCan #photogrammetry #LiDAR

[3DOMFBK @3DOMFBK]

dont miss our talk at @EuroGeosciences General Assembly 2024:
https://t.co/fOyKeNUrCC
Monday, 15 Apr, 14:50–15:00, Room 2.16
#mapping #AI #3D @onurcbayrak #pointcloud #deeplearning #photogrammetry #lidar #egu24

[3DOMFBK @3DOMFBK]

dont miss our talk at @EuroGeosciences General Assembly 2024:
https://t.co/xRitDiHOlb
Monday, 15 Apr, 11:10–11:20, Room G1
#AI #egu24 #matching #deeplearning @francescoioli
@lcmorelli3 @LabMGF @PolitecnicoDICA @FBK_research

[3DOMFBK @3DOMFBK]

here our contribution (1/3) for the European Geosciences Union (@EuroGeosciences) General Assembly 2024:
- Operationalize large-scale #pointcloud #classification: potentials & challenges https://t.co/fOyKeNUZsa
Monday, 15 Apr, 14:50–15:00, Room 2.16
CU in Vienna!
#mapping #AI #3D

[3DOMFBK @3DOMFBK]

new release of the Deep-Image-Matching framework: https://t.co/xiwHGnC7fz
- export for #OpenMVG & #MicMac
- different camera models
- Graph visualization (thanks @gperda)
- Docker installation (thanks @kauevestena)
@francescoioli @lcmorelli3 #photogrammetry #AI #deeplearning

[3DOMFBK @3DOMFBK]

#urban #pointcloud #classification requires correctly annotated data without #bias.
Many available #datasets contain annotation errors that hamper #supervised #learning methods capabilities. Time to go #unsupervised!
#deeplearning #semantics #AI #3D #LiDAR #photogrammetry

[Batuhan Kılıç @kilicbatuhann]

I am thrilled to announce that our new paper is now open access in the Journal of Geographical Systems @JGeoSys
Thanks to everyone who contributed. @fatihgulgen @onurcbayrak
You can find it at the link below⬇️⬇️

https://t.co/lolzDxZtuN

[Seda Özarpacı @sedaozarpaci]

I am happy to announce that our paper is now open access in GPS Solutions @SpringerGeo

You can find it in link below
⬇️⬇️⬇️

https://t.co/ukp74SuZ0J

[Yasar Kondakci @YasarKondakci]

Üzülerek söylüyorum, Türkiye'de doktora programı olarak yürütülen programların çoğu doktora değil, doktora tezi olarak sunulan tezlerin çoğu doktora tezi değil. Özellikle Eğitim alanında durum daha da vahim.

[Onur Bayrak @onurcbayrak]

@kilicbatuhann Thank you so much

[Onur Bayrak @onurcbayrak]

Our latest article has been published in Ecological Informatics. For Scots Pine classification from aerial imagery, we conclude that biomedical image classification features are more effective than GLCM features commonly used in remote sensing.

https://t.co/V8YPknxru2