Yağız Nalçakan, PhD

I am currently a Postdoctoral researcher at Yonsei University’s Seamless Transportation Lab (STL). I received my Ph.D. degree in computer science from the Izmir Institute of Technology, under the guidance of Prof. Dr. Yalin Bastanlar. My doctoral research focused on vehicle maneuver detection for advanced driver assistance systems (ADAS). During my Ph.D., I had the opportunity to spend a term as a visiting research scholar at Seoul National University’s Vehicle Dynamics and Control Laboratory (VDCL) & the Future Mobility Technology Center (FMTC) supported by a research scholarship from TUBITAK (The Scientific and Technological Research Council of Turkey).

My current research interests revolve around computer vision and deep learning, with a specialization in multispectral camera systems, perception in adverse weather scenarios, representation learning, and vision-language modeling.

news

Sep 25, 2024	Our new reprint, “Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation” is now available on arXiv.
Dec 11, 2023	At the start of 2024, I will begin a new role as a Postdoctoral Researcher at Yonsei University’s Seamless Transportation Lab. Under the guidance of Prof. Shiho Kim, I’ll be working on new challenges of intelligent vehicles and smart mobility.
Oct 20, 2023	Our work “Lane Change Detection with an Ensemble of Image-based and Video-based Deep Learning Models” received the Best Paper Award (3rd place) at the IEEE Innovations in Intelligent Systems and Applications Conference (ASYU 2023), 11-13 October 2023.
Aug 3, 2023	I have successfuly defended my Ph.D. thesis “Classification of Maneuvers of Vehicles In Front for Driver Assistance Systems”. You can access the full thesis here: PDF.
Mar 1, 2023	Our research article, titled “Cut-in Maneuver Detection with Self-supervised Contrastive Video Representation Learning” has been published in the Signal, Image and Video Processing (SIVP) journal.

selected publications

preprint

Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation

Jin, Youngwan, Park, Incheol, Song, Hanbin, Ju, Hyeongjin, Nalcakan, Yagiz, and Kim, Shiho

arXiv preprint arXiv:2409.16706 2024

Bib LINK

@article{nalcakan2024pix2next,
  abbr = {preprint},
  title = {Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation},
  author = {Jin, Youngwan and Park, Incheol and Song, Hanbin and Ju, Hyeongjin and Nalcakan, Yagiz and Kim, Shiho},
  journal = {arXiv preprint arXiv:2409.16706},
  year = {2024},
  selected = {true},
  bibtex_show = {true},
  html = {https://arxiv.org/abs/2409.16706},
  publisher = {arXiv}
}

IEEE

Lane Change Detection with an Ensemble of Image-based and Video-based Deep Learning Models

Nalcakan, Yagiz, and Bastanlar, Yalin

In 2023 Innovations in Intelligent Systems and Applications Conference (ASYU) 2023

Bib LINK

@inproceedings{nalcakan2023asyu,
  abbr = {IEEE},
  author = {Nalcakan, Yagiz and Bastanlar, Yalin},
  booktitle = {2023 Innovations in Intelligent Systems and Applications Conference (ASYU)},
  title = {Lane Change Detection with an Ensemble of Image-based and Video-based Deep Learning Models},
  year = {2023},
  volume = {},
  number = {},
  pages = {1-7},
  selected = {true},
  bibtex_show = {true},
  publisher = {IEEE},
  html = {https://ieeexplore.ieee.org/document/10296634},
  doi = {10.1109/ASYU58738.2023.10296634}
}

SIVP

Cut-in maneuver detection with self-supervised contrastive video representation learning

Nalcakan, Yagiz, and Bastanlar, Yalin

Signal, Image and Video Processing 2023

Bib LINK

@article{nalcakan2023cut,
  abbr = {SIVP},
  title = {Cut-in maneuver detection with self-supervised contrastive video representation learning},
  author = {Nalcakan, Yagiz and Bastanlar, Yalin},
  journal = {Signal, Image and Video Processing},
  pages = {1--9},
  year = {2023},
  selected = {true},
  bibtex_show = {true},
  html = {https://link.springer.com/article/10.1007/s11760-023-02512-3},
  publisher = {Springer}
}

CCIS

Monocular Vision-Based Prediction of Cut-In Manoeuvres with LSTM Networks

Nalcakan, Yagiz, and Bastanlar, Yalin

In Science, Engineering Management and Information Technology 2023

Bib LINK

@inproceedings{10.1007/978-3-031-40395-8_8,
  abbr = {CCIS},
  author = {Nalcakan, Yagiz and Bastanlar, Yalin},
  title = {Monocular Vision-Based Prediction of Cut-In Manoeuvres with LSTM Networks},
  booktitle = {Science, Engineering Management and Information Technology},
  year = {2023},
  publisher = {Springer Nature Switzerland},
  pages = {111--123},
  isbn = {978-3-031-40395-8},
  selected = {true},
  bibtex_show = {true},
  html = {https://link.springer.com/chapter/10.1007/978-3-031-40395-8_8}
}

Overview of Machine Learning Approaches for Wireless Communication

Ensari, Tolga, Nalçakan, Yağız, Günay, Melike, and Yıldız, Eyyüp

In Science, Engineering Management and Information Technology 2019

Bib LINK

@incollection{ensari2019overview,
  title = {Overview of Machine Learning Approaches for Wireless Communication},
  author = {Ensari, Tolga and Nal{\c{c}}akan, Ya{\u{g}}{\i}z and G{\"u}nay, Melike and Y{\i}ld{\i}z, Eyy{\"u}p},
  booktitle = {Next-Generation Wireless Networks Meet Advanced Machine Learning Applications},
  pages = {123--140},
  year = {2019},
  publisher = {IGI Global},
  selected = {true},
  bibtex_show = {true},
  html = {https://www.igi-global.com/chapter/overview-of-machine-learning-approaches-for-wireless-communication/221429}
}

IEEE

Automatic HTML code generation from mock-up images using machine learning techniques

Aşıroğlu, Batuhan, Mete, Büşta Rümeysa, Yıldız, Eyyüp, Nalçakan, Yağız, Sezen, Alper, Dağtekin, Mustafa, and Ensari, Tolga

In 2019 Scientific Meeting on Electrical-Electronics & Biomedical Engineering and Computer Science (EBBT) 2019

Bib LINK

@inproceedings{acsirouglu2019automatic,
  abbr = {IEEE},
  title = {Automatic HTML code generation from mock-up images using machine learning techniques},
  author = {A{\c{s}}{\i}ro{\u{g}}lu, Batuhan and Mete, B{\"u}{\c{s}}ta R{\"u}meysa and Y{\i}ld{\i}z, Eyy{\"u}p and Nal{\c{c}}akan, Ya{\u{g}}{\i}z and Sezen, Alper and Da{\u{g}}tekin, Mustafa and Ensari, Tolga},
  booktitle = {2019 Scientific Meeting on Electrical-Electronics \& Biomedical Engineering and Computer Science (EBBT)},
  pages = {1--4},
  year = {2019},
  organization = {Ieee},
  selected = {true},
  bibtex_show = {true},
  html = {https://ieeexplore.ieee.org/abstract/document/8741736}
}

Decision of Neural Networks Hyperparameters with a Population-based Algorithm

Nalçakan, Yağız, and Ensari, Tolga

In The Fourth International Conference on Machine Learning, Optimization, and Data Science 2018

Bib LINK

@inproceedings{nalcakan2018decision,
  title = {Decision of Neural Networks Hyperparameters with a Population-based Algorithm},
  author = {Nal{\c{c}}akan, Ya{\u{g}}{\i}z and Ensari, Tolga},
  booktitle = {The Fourth International Conference on Machine Learning, Optimization, and Data Science},
  volume = {11331},
  year = {2018},
  selected = {true},
  bibtex_show = {true},
  html = {https://link.springer.com/chapter/10.1007/978-3-030-13709-0_23}
}

Digital Data Forgetting: A Machine Learning Approach

Günay, Melike, Yıldız, Eyyüp, Nalçakan, Yağız, Aşıroğlu, B, Zencirli, A, Mete, B, and Ensari, Tolga

In 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) 2018

Bib LINK

@inproceedings{gunay2018digital,
  title = {Digital Data Forgetting: A Machine Learning Approach},
  author = {G{\"u}nay, Melike and Y{\i}ld{\i}z, Eyy{\"u}p and Nal{\c{c}}akan, Ya{\u{g}}{\i}z and A{\c{s}}{\i}ro{\u{g}}lu, B and Zencirli, A and Mete, B and Ensari, Tolga},
  booktitle = {2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)},
  pages = {1--4},
  year = {2018},
  organization = {DOI: 10.1109/ISMSIT.2018.8567046},
  selected = {true},
  bibtex_show = {true},
  html = {https://doi.org/10.1109/ISMSIT.2018.8567046}
}