Nermin Samet

I am a postdoctoral researcher at ENPC ParisTech, IMAGINE Research Group working with Prof. Vincent Lepetit. I obtained my Ph.D. degree in 2021 from the Department of Computer Engineering at METU under supervision of Dr. Emre Akbas. My primary research interest is computer vision focusing on (video) object detection.

News

Research

You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation

@article{seedal,
  title={You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation},
  author={Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit},
  booktitle={IEEE International Conference on Computer Vision (ICCV)},    
  year={2023}
}

H3WB: Human3.6M 3D WholeBody Dataset and Benchmark

@article{h3wb,
  title={H3WB: Human3.6M 3D WholeBody Dataset and benchmark},
  author={Yue Zhu, Nermin Samet, David Picard},
  booktitle={IEEE International Conference on Computer Vision (ICCV)},    
  year={2023}
}

A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

@inproceedings{ponimatkin2023sslvos, 
title= {A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation}, 
author={G. {Ponimatkin} and N. {Samet} and Y. {Xiao} and Y. {Du} and R. {Marlet} and V. {Lepetit}}, 
booktitle={Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV)}, 
year={2023}} 
}

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

@misc{HoughNet2021,
      title={HoughNet: Integrating near and long-range evidence for visual detection}, 
      author={Nermin Samet and Samet Hicsonmez and Emre Akbas},
      year={2021}, 
}

HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation

@article{samet2021_hprnet,
title = {HPRNet: Hierarchical point regression for whole-body human pose estimation},
journal = {Image and Vision Computing},
pages = {104285},
year = {2021},
issn = {0262-8856},
doi = {https://doi.org/10.1016/j.imavis.2021.104285},
author = {Nermin Samet and Emre Akbas},
}

Adversarial Segmentation Loss for Sketch Colorization

@INPROCEEDINGS{hicsonmez2021_advseg,
  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

@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

@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

@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}
}

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

@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}
}

Ground-nesting Insects could use Visual Tracking for Monitoring Nest Position during Learning Flights

@inproceedings{samet2014ground,
  title={Ground-nesting insects could use visual tracking for monitoring nest position during learning flights},
  author={Samet, Nermin and Zeil, Jochen and Mair, Elmar and Boeddeker, Norbert and St{\"u}rzl, Wolfgang},
  booktitle={International Conference on Simulation of Adaptive Behavior},
  pages={108--120},
  year={2014},
  organization={Springer International Publishing}
}

Inspired from Jon Barron's website