ITU Vision Lab

Selected Publications

2024

1. 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

   Abs Bib HTML

   @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},
   }

2. 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

   Abs Bib HTML

   @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},
   }

3. 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

   Abs Bib HTML

   @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},
   }

2022

1. ICLR

   Evidential turing processes

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

   2022

   Abs Bib HTML

   @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},
   }