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.
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
@misc{HoughNet2021,
title={HoughNet: Integrating near and long-range evidence for visual detection},
author={Nermin Samet and Samet Hicsonmez and Emre Akbas},
year={2021},
}
|
Adversarial Segmentation Loss for Sketch Colorization
Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
International Conference on Image Processing (ICIP) 2021
@INPROCEEDINGS{hicsonmez2021adversarial,
author={Hicsonmez, Samet and Samet, Nermin and Akbas, Emre and Duygulu, Pinar},
booktitle={2021 IEEE International Conference on Image Processing (ICIP)},
title={Adversarial Segmentation Loss For Sketch Colorization},
year={2021},
pages={2403-2407},
doi={10.1109/ICIP42928.2021.9506637}}
|
Reducing Label Noise in Anchor-Free Object Detection
Nermin Samet, Samet Hicsonmez, Emre Akbas
British Machine Vision Conference (BMVC) 2020
@inproceedings{PPDet,
author = {Nermin Samet and Samet Hicsonmez and Emre Akbas},
title = {Reducing {L}abel {N}oise in {A}nchor-{F}ree {O}bject {D}etection},
booktitle = {British Machine Vision Conference (BMVC)},
year = {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
@inproceedings{samet2020houghnet,
title={HoughNet: Integrating near and long-range evidence for bottom-up object detection},
author={Samet, Nermin and Hicsonmez, Samet and Akbas, Emre},
booktitle={European Conference on Computer Vision},
pages={406--423},
year={2020},
organization={Springer}
}
|
GANILLA: Generative adversarial networks for image to illustration translation
Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
Image and Vision Computing (IMAVIS) 2020
@article{hicsonmez2020ganilla,
title={GANILLA: Generative adversarial networks for image to illustration translation},
author={Hicsonmez, Samet and Samet, Nermin and Akbas, Emre and Duygulu, Pinar},
journal={Image and Vision Computing},
volume={95},
pages={103886},
year={2020},
publisher={Elsevier}
}
|
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
@inproceedings{hicsonmez2017draw,
title={DRAW: Deep networks for Recognizing styles of Artists Who illustrate children's books},
author={Hicsonmez, Samet and Samet, Nermin and Sener, Fadime and Duygulu, Pinar},
booktitle={Proceedings of the 2017 ACM on international conference on multimedia retrieval},
pages={338--346},
year={2017}
}
|
Could We Create A Training Set For Image Captioning Using Automatic Translation?
Nermin Samet, Samet Hicsonmez, Pinar Duygulu, Emre Akbas
SIU 2017
@inproceedings{samet2017captioning,
title = {Could we create a training set for image captioning using automatic translation?},
author = {Nermin Samet and Samet Hicsonmez and Pinar Duygulu and Emre Akbas},
booktitle = {25th Signal Processing and Communications Applications Conference, {SIU} 2017, Antalya, Turkey, May 15-18, 2017},
pages = {1--4},
year = {2017},
organization={IEEE}
}
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