Publications | ITU Vision & AI Lab

2026

CAADRIA

Integrating Perceptual and Computational Frameworks for Walkability Assessment in Campus Environments Using AI-Based Models

Sena Kaynarkaya , Aslı Çekmiş , İsmail Çetin , and 2 more authors

In Proceedings of the 31st International Conference on Computer-Aided Architectural Design Research in Asia , 2026

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@inproceedings{kaynarkaya2026campus,
  title = {Integrating Perceptual and Computational Frameworks for Walkability Assessment in Campus Environments Using AI-Based Models},
  author = {Kaynarkaya, Sena and Çekmiş, Aslı and Çetin, İsmail and Şahin, Yusuf Hüseyin and Ünal, Gözde},
  booktitle = {Proceedings of the 31st International Conference on Computer-Aided Architectural Design Research in Asia},
  year = {2026},
  url = {https://papers.cumincad.org/data/works/att/caadria2026_208.pdf},
}

arXiv

Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias

Muhammed Faruk Aytin , Zehra Demir , Alper Ünal , and 2 more authors

2026

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@article{aytin2026neural,
  title = {Neural Conjugate Aggregation: Identifiable Unsupervised Multi-Sensor Regression under Heterogeneous Sensor Bias},
  author = {Aytin, Muhammed Faruk and Demir, Zehra and Ünal, Alper and Marshall, Julian and Ünal, Gözde},
  booktitle = {arXiv Preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2606.22200},
}

arXiv

Masked and Predictive Self-Supervised Foundation Models for 3D Brain MRI

Esra Ergün , Hersh Chandarana , Dan Sodickson , and 1 more author

2026

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@article{ergun2026masked,
  title = {Masked and Predictive Self-Supervised Foundation Models for {3D} Brain {MRI}},
  author = {Ergün, Esra and Chandarana, Hersh and Sodickson, Dan and Ünal, Gözde},
  booktitle = {arXiv Preprint},
  year = {2026},
  url = {https://arxiv.org/abs/2606.13315},
}

IEEE TMI

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy

Rina Bao , Anna N. Foster , Ya’Nan Song , and 28 more authors

IEEE Transactions on Medical Imaging, 2026

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@article{bao2026bonbidhie,
  title = {{BONBID-HIE} 2023: Lesion Segmentation Challenge in {BOston} Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy},
  author = {Bao, Rina and Foster, Anna N. and Song, Ya'Nan and Vyas, Rutvi and Kesri, Ankush and Toubal, Imad Eddine and Kazemi, Elham Soltani and Rahmon, Gani and Kucukpinar, Taci and Almansour, Mohamed and Ho, Mai-Lan and Palaniappan, K. and Ninalga, Dean and Koirala, Chiranjeewee Prasad and Mohapatra, Sovesh and Schlaug, Gottfried and Wodzinski, Marek and Muller, Henning and Ellis, David G. and Aizenberg, Michele R. and Aydın, M. Arda and Abdinli, Elvin and Unal, Gozde and Tahmasebi, Nazanin and Punithakumar, Kumaradevan and Song, Tian and Peng, Yun and Bates, Sara V. and Hirschtick, Randy and Grant, P. Ellen and Ou, Yangming},
  journal = {IEEE Transactions on Medical Imaging},
  volume = {45},
  number = {4},
  pages = {1711--1725},
  year = {2026},
  doi = {10.1109/TMI.2025.3638977},
  url = {https://doi.org/10.1109/TMI.2025.3638977},
}

Neurocomputing

Disentanglement with Factor Quantized Variational Autoencoders

Gulcin Baykal , Melih Kandemir , and Gozde Unal

Neurocomputing, 2026

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@article{baykal2026factorqvae,
  title = {Disentanglement with Factor Quantized Variational Autoencoders},
  author = {Baykal, Gulcin and Kandemir, Melih and Unal, Gozde},
  journal = {Neurocomputing},
  volume = {661},
  pages = {131968},
  year = {2026},
  doi = {10.1016/j.neucom.2025.131968},
  url = {https://doi.org/10.1016/j.neucom.2025.131968},
}

2025

Springer

PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification

Mert Gulsen , Batuhan Cengiz , Yusuf H Sahin , and 1 more author

In Pattern Recognition and Artificial Intelligence , 2025

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@inproceedings{gulsen2024pcld,
  title = {PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification},
  author = {Gulsen, Mert and Cengiz, Batuhan and Sahin, Yusuf H and Unal, Gozde},
  booktitle = {Pattern Recognition and Artificial Intelligence},
  pages = {727--740},
  year = {2025},
  doi = {10.1007/978-3-031-90893-4_49},
  url = {https://doi.org/10.1007/978-3-031-90893-4_49},
}

SCS

Assessing Walkability with Deep CNNs by Integrating Objective and Subjective Urban Qualities: The Case of ‘Cittaslow’ Neighborhoods

Sena Kaynarkaya , Aslı Çekmiş , İsmail Çetin , and 2 more authors

Sustainable Cities and Society, 2025

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@article{kaynarkaya2025walkability,
  title = {Assessing Walkability with Deep {CNNs} by Integrating Objective and Subjective Urban Qualities: The Case of `Cittaslow' Neighborhoods},
  author = {Kaynarkaya, Sena and Çekmiş, Aslı and Çetin, İsmail and Şahin, Yusuf Hüseyin and Ünal, Gözde},
  journal = {Sustainable Cities and Society},
  volume = {133},
  pages = {106863},
  year = {2025},
  doi = {10.1016/j.scs.2025.106863},
  url = {https://doi.org/10.1016/j.scs.2025.106863},
}

ECAI

UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking

V. Bugra Yesilkaynak , Emine Dari , Alican Mertan , and 1 more author

In Proceedings of the European Conference on Artificial Intelligence , 2025

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@inproceedings{yesilkaynak2025unimlr,
  title = {{UniMLR}: Modeling Implicit Class Significance for Multi-Label Ranking},
  author = {Yesilkaynak, V. Bugra and Dari, Emine and Mertan, Alican and Unal, Gozde},
  booktitle = {Proceedings of the European Conference on Artificial Intelligence},
  year = {2025},
  url = {https://arxiv.org/abs/2508.21772},
}

CVPRW

ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements

M. Arda Aydın , Efe Mert Çırpar , Elvin Abdinli , and 2 more authors

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , 2025

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@inproceedings{aydin2025itaclip,
  title = {{ITACLIP}: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements},
  author = {Aydın, M. Arda and Çırpar, Efe Mert and Abdinli, Elvin and Unal, Gozde and Sahin, Yusuf H.},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year = {2025},
  url = {https://openaccess.thecvf.com/content/CVPR2025W/PixFoundation/html/Aydin_ITACLIP_Boosting_Training-Free_Semantic_Segmentation_with_Image_Text_and_Architectural_CVPRW_2025_paper.html},
}

2024

CAADRIA

Utilising UV-Mapping for the 3D-Point Cloud Segmentation of Architectural Heritage

Fatih Uzun , Sevgi Altun , Sena Kayasü , and 4 more authors

In Accelerated Design: 29th International Conference on Computer-Aided Architectural Design Research in Asia , 2024

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@inproceedings{uzun2024uvmapping,
  title = {Utilising {UV-Mapping} for the {3D-Point} Cloud Segmentation of Architectural Heritage},
  author = {Uzun, Fatih and Altun, Sevgi and Kayasü, Sena and Öztürk, Berkay and Şahin, Yusuf and Ünal, Gözde and Özkar, Mine},
  booktitle = {Accelerated Design: 29th International Conference on Computer-Aided Architectural Design Research in Asia},
  volume = {2},
  pages = {313--322},
  year = {2024},
  url = {https://research.itu.edu.tr/en/publications/utilising-uv-mapping-for-the-3d-point-cloud-segmentation-of-archi/},
}

Pattern Recognition
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders

Gulcin Baykal , Melih Kandemir , and Gozde Unal

Pattern Recognition, 2024

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Codebook collapse is a common problem in training deep generative models with discrete representation spaces like Vector Quantized Variational Autoencoders (VQ-VAEs). We observe that the same problem arises for the alternatively designed discrete variational autoencoders (dVAEs) whose encoder directly learns a distribution over the codebook embeddings to represent the data. We hypothesize that using the softmax function to obtain a probability distribution causes the codebook collapse by assigning overconfident probabilities to the best matching codebook elements. In this paper, we propose a novel way to incorporate evidential deep learning (EDL) instead of softmax to combat the codebook collapse problem of dVAE. We evidentially monitor the significance of attaining the probability distribution over the codebook embeddings, in contrast to softmax usage. Our experiments using various datasets show that our model, called EdVAE, mitigates codebook collapse while improving the reconstruction performance, and enhances the codebook usage compared to dVAE and VQ-VAE based models.
@article{baykal2023edvae, title = {EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders}, author = {Baykal, Gulcin and Kandemir, Melih and Unal, Gozde}, journal = {Pattern Recognition}, volume = {156}, pages = {110792}, year = {2024}, doi = {10.1016/j.patcog.2024.110792}, url = {https://doi.org/10.1016/j.patcog.2024.110792}, }

AUTCON

Semi-Automated Minimization of Brick-Mortar Segmentation Errors in 3D Historical Wall Reconstruction

Mustafa Cem Güneş , Alican Mertan , Yusuf H. Sahin , and 2 more authors

Automation in Construction, 2024

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@article{gunes2024brickmortar,
  title = {Semi-Automated Minimization of Brick-Mortar Segmentation Errors in {3D} Historical Wall Reconstruction},
  author = {Güneş, Mustafa Cem and Mertan, Alican and Sahin, Yusuf H. and Unal, Gozde and Özkar, Mine},
  journal = {Automation in Construction},
  volume = {167},
  pages = {105693},
  year = {2024},
  doi = {10.1016/j.autcon.2024.105693},
  url = {https://doi.org/10.1016/j.autcon.2024.105693},
}

Routledge

Lost and Found in Translation: Integrating Architectural Surveys and Computational Models for Seljuk Madrasas

Sena Kayasü , Sevgi Altun , Berkay Öztürk , and 3 more authors

In Advanced Research and Design Tools for Architectural Heritage: Unforeseen Paths , 2024

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@incollection{kayasu2024lost,
  title = {Lost and Found in Translation: Integrating Architectural Surveys and Computational Models for Seljuk Madrasas},
  author = {Kayasü, Sena and Altun, Sevgi and Öztürk, Berkay and Şahin, Yusuf and Unal, Gozde and Özkar, Mine},
  booktitle = {Advanced Research and Design Tools for Architectural Heritage: Unforeseen Paths},
  publisher = {Routledge},
  pages = {191--211},
  year = {2024},
  url = {https://www.routledge.com/Advanced-Research-and-Design-Tools-for-Architectural-Heritage-Unforeseen-Paths/Stellacci-Giglitto-Piccoli/p/book/9781032637389},
}

L4DC

Continual Learning of Multi-modal Dynamics with External Memory

A. Akgül , G. Unal , and M. Kandemir

In Proceedings of The 6th Annual Learning for Dynamics and Control Conference , 2024

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@inproceedings{akgul2024cddp,
  title = {Continual Learning of Multi-modal Dynamics with External Memory},
  author = {Akgül, A. and Unal, G. and Kandemir, M.},
  booktitle = {Proceedings of The 6th Annual Learning for Dynamics and Control Conference},
  year = {2024},
  url = {https://arxiv.org/abs/2203.00936},
}

IEEE FG

A Study Regarding Machine Unlearning on Facial Attribute Data

Emircan Gundogdu , Altay Unal , and Gozde Unal

In 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition , 2024

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@inproceedings{gundogdustudy,
  title = {A Study Regarding Machine Unlearning on Facial Attribute Data},
  author = {Gundogdu, Emircan and Unal, Altay and Unal, Gozde},
  booktitle = {2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition},
  year = {2024},
  doi = {10.1109/FG59268.2024.10581972},
  url = {https://doi.org/10.1109/FG59268.2024.10581972},
}

IEEE FG

epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition

Batuhan Cengiz , Mert Gulsen , Yusuf H Sahin , and 1 more author

2024

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@article{cengiz2024epsilon,
  title = {epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition},
  author = {Cengiz, Batuhan and Gulsen, Mert and Sahin, Yusuf H and Unal, Gozde},
  booktitle = {IEEE International Conference on Automatic Face and Gesture Recognition},
  year = {2024},
  url = {https://arxiv.org/abs/2403.06661v1},
}

ICLR

Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting

B. Asan , A. Akgül , A. Unal , and 2 more authors

In Tackling Climate Change with Machine Learning at ICLR 2024 , 2024

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@inproceedings{asan2024calibrating,
  title = {Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting},
  author = {Asan, B. and Akgül, A. and Unal, A. and Kandemir, M. and Unal, G.},
  booktitle = {Tackling Climate Change with Machine Learning at ICLR 2024},
  year = {2024},
  url = {https://arxiv.org/abs/2403.16612},
}

ACML

Protodiffusion: Classifier-free diffusion guidance with prototype learning

Gulcin Baykal , Halil Faruk Karagoz , Taha Binhuraib , and 1 more author

In Asian Conference on Machine Learning , 2024

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@inproceedings{baykal2024protodiffusion,
  title = {Protodiffusion: Classifier-free diffusion guidance with prototype learning},
  author = {Baykal, Gulcin and Karagoz, Halil Faruk and Binhuraib, Taha and Unal, Gozde},
  booktitle = {Asian Conference on Machine Learning},
  year = {2024},
  url = {https://proceedings.mlr.press/v222/baykal24a.html},
}

2023

TMLR

Meta Continual Learning on Graphs with Experience Replay

A. Unal , A. Akgül , M. Kandemir , and 1 more author

2023

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@article{unal2023meta,
  title = {Meta Continual Learning on Graphs with Experience Replay},
  author = {Unal, A. and Akg{\"u}l, A. and Kandemir, M. and Unal, G.},
  booktitle = {Transactions on Machine Learning Research},
  year = {2023},
  url = {https://openreview.net/forum?id=8tnrh56P5W},
}

MVA

TinyPedSeg: A Tiny Pedestrian Segmentation Benchmark for Top-Down Drone Images

Yusuf H Sahin , Elvin Abdinli , M Arda Aydın , and 1 more author

In International Conference on Machine Vision Applications , 2023

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@inproceedings{sahin2023tinypedseg,
  title = {TinyPedSeg: A Tiny Pedestrian Segmentation Benchmark for Top-Down Drone Images},
  author = {Sahin, Yusuf H and Abdinli, Elvin and Ayd{\i}n, M Arda and Unal, Gozde},
  booktitle = {International Conference on Machine Vision Applications},
  year = {2023},
  url = {https://ieeexplore.ieee.org/abstract/document/10215829},
}

MDPI

ALReg: Registration of 3D Point Clouds Using Active Learning

Yusuf Huseyin Sahin , Oguzhan Karabacak , Melih Kandemir , and 1 more author

2023

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@article{sahin2023alreg,
  title = {ALReg: Registration of 3D Point Clouds Using Active Learning},
  author = {Sahin, Yusuf Huseyin and Karabacak, Oguzhan and Kandemir, Melih and Unal, Gozde},
  booktitle = {MDPI Applied Sciences},
  year = {2023},
  url = {https://www.mdpi.com/2076-3417/13/13/7422},
}

arXiv

Textile Pattern Generation Using Diffusion Models

Halil Faruk Karagoz , Gulcin Baykal , Irem Arikan Eksi , and 1 more author

2023

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@article{karagoz2023textile,
  title = {Textile Pattern Generation Using Diffusion Models},
  author = {Karagoz, Halil Faruk and Baykal, Gulcin and Eksi, Irem Arikan and Unal, Gozde},
  booktitle = {arXiv Preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2304.00520},
}

arXiv

GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking

V Bugra Yesilkaynak , Emine Dari , Alican Mertan , and 1 more author

2023

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@article{yesilkaynak2023gaussianmlr,
  title = {GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking},
  author = {Yesilkaynak, V Bugra and Dari, Emine and Mertan, Alican and Unal, Gozde},
  booktitle = {arXiv Preprint},
  year = {2023},
  url = {https://arxiv.org/abs/2303.03907},
}

2022

NeuRIPS

How to combine variational bayesian networks in federated learning

Atahan Ozer , Kadir Burak Buldu , Abdullah Akgül , and 1 more author

2022

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@article{ozer2022combine,
  title = {How to combine variational bayesian networks in federated learning},
  author = {Ozer, Atahan and Buldu, Kadir Burak and Akg{\"u}l, Abdullah and Unal, Gozde},
  booktitle = {International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022 (FL-NeurIPS'22)},
  year = {2022},
  url = {https://arxiv.org/abs/2206.10897},
}

ICPRAI

UGQE: Uncertainty Guided Query Expansion

Firat Oncel , Mehmet Aygün , Gulcin Baykal , and 1 more author

In International Conference on Pattern Recognition and Artificial Intelligence , 2022

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@inproceedings{oncel2022ugqe,
  title = {UGQE: Uncertainty Guided Query Expansion},
  author = {Oncel, Firat and Ayg{\"u}n, Mehmet and Baykal, Gulcin and Unal, Gozde},
  booktitle = {International Conference on Pattern Recognition and Artificial Intelligence},
  year = {2022},
  url = {https://link.springer.com/chapter/10.1007/978-3-031-09037-0_10},
}

DSP

Single image depth estimation: An overview

Alican Mertan , Damien Jade Duff , and Gozde Unal

2022

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@article{mertan2022single,
  title = {Single image depth estimation: An overview},
  author = {Mertan, Alican and Duff, Damien Jade and Unal, Gozde},
  booktitle = {Digital Signal Processing},
  year = {2022},
  url = {https://www.sciencedirect.com/science/article/pii/S1051200422000586},
}

ODFNet: Using orientation distribution functions to characterize 3D point clouds

Yusuf H Sahin , Alican Mertan , and Gozde Unal

2022

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@article{sahin2022odfnet,
  title = {ODFNet: Using orientation distribution functions to characterize 3D point clouds},
  author = {Sahin, Yusuf H and Mertan, Alican and Unal, Gozde},
  booktitle = {Computer and Graphics},
  year = {2022},
  url = {https://www.sciencedirect.com/science/article/pii/S0097849321001801},
}

Exploring deshufflegans in self-supervised generative adversarial networks

Gulcin Baykal , Furkan Ozcelik , and Gozde Unal

2022

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@article{baykal2022exploring,
  title = {Exploring deshufflegans in self-supervised generative adversarial networks},
  author = {Baykal, Gulcin and Ozcelik, Furkan and Unal, Gozde},
  booktitle = {Pattern Recognition},
  year = {2022},
  url = {https://www.sciencedirect.com/science/article/pii/S0031320321004167},
}

ICLR

Evidential turing processes

Melih Kandemir , Abdullah Akgül , Manuel Haussmann , and 1 more author

2022

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@article{kandemir2021evidential,
  title = {Evidential turing processes},
  author = {Kandemir, Melih and Akg{\"u}l, Abdullah and Haussmann, Manuel and Unal, Gozde},
  booktitle = {International Conference on Learning Representations},
  year = {2022},
  url = {https://arxiv.org/abs/2106.01216},
}

2021

PRIME

Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation

Ufuk Demir , Atahan Ozer , Yusuf H Sahin , and 1 more author

In International Workshop on PRedictive Intelligence In MEdicine , 2021

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@inproceedings{demir2021uncertainty,
  title = {Uncertainty-Based Dynamic Graph Neighborhoods for Medical Segmentation},
  author = {Demir, Ufuk and Ozer, Atahan and Sahin, Yusuf H and Unal, Gozde},
  booktitle = {International Workshop on PRedictive Intelligence In MEdicine},
  year = {2021},
  url = {https://link.springer.com/chapter/10.1007/978-3-030-87602-9_24},
}