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Samet Hicsonmez

I am working as a Research Scientist in TraxRetail. I received my Ph.D. in the Computer Engineering Department at Hacettepe University under supervision of Prof. Dr. Pinar Duygulu and Asst. Prof. Emre Akbas.
Before coming to Hacettepe, I received my master degree from TOBB Economics and Technology University, Computer Engineering Department in 2013, and bachelor degree from Istanbul Technical University, Electronics Engineering in 2009.


News

Aug 2022

I successfully defended my Ph.D thesis!

Aug 2022

Our extended work on HoughNet is accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

Apr 2022

I started as a Research Scientist at TraxRetail.

May 2021

Our paper entitled “Adversarial Segmentation Loss for Sketch Colorization” is accepted to the International Conference on Image Processing (ICIP).

Feb 2021

Our paper entitled “Adversarial Segmentation Loss for Sketch Colorization” is now available on arXiv.

Sep 2020

Our work GANILLA has been featured in “The Batch”, a new weekly newsletter from deeplearning.ai.

Aug 2020

Our paper entitled “Reducing Label Noise in Anchor-Free Object Detection” is accepted to the British Machine Vision Conference (BMVC).

Jun 2020

Our paper entitled “HoughNet: Integrating near and long-range evidence for bottom-up object detection” is accepted to the European Conference on Computer Vision (ECCV).

Jan 2020

Our paper entitled “GANILLA: Generative adversarial networks for image to illustration translation” is accepted to Image and Vision Computing.


Research

HoughNet: Integrating near and long-range evidence for visual detection


Nermin Samet, Samet Hicsonmez, Emre Akbas
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022

Adversarial Segmentation Loss for Sketch Colorization


Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
International Conference on Image Processing (ICIP) 2021

Reducing Label Noise in Anchor-Free Object Detection


Nermin Samet, Samet Hicsonmez, Emre Akbas
British Machine Vision Conference (BMVC) 2020

HoughNet: Integrating near and long-range evidence for bottom-up object detection


Nermin Samet, Samet Hicsonmez, Emre Akbas
European Conference on Computer Vision (ECCV) 2020

GANILLA: Generative adversarial networks for image to illustration translation


Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
Image and Vision Computing (IMAVIS) 2020

DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books


Samet Hicsonmez, Nermin Samet, Fadime Sener, Pinar Duygulu
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval 2017

Could We Create A Training Set For Image Captioning Using Automatic Translation?


Nermin Samet, Samet Hicsonmez, Pinar Duygulu, Emre Akbas
SIU 2017

Inspired from Jon Barron's website