Statistical Deep Learning in Computer Vision


Squeezed Bilinear Pooling for Fine-Grained Visual Categorization
Qiyu Liao,
Dadong Wang,
Hamish Holewa,
Min Xu
[pdf]
[bibtex]
@InProceedings{Liao_2019_ICCV_Workshops,
author = {Liao, Qiyu and Wang, Dadong and Holewa, Hamish and Xu, Min},
title = {Squeezed Bilinear Pooling for Fine-Grained Visual Categorization},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks
Wei Shen,
Fei Li,
Rujie Liu
[pdf]
[bibtex]
@InProceedings{Shen_2019_ICCV_Workshops,
author = {Shen, Wei and Li, Fei and Liu, Rujie},
title = {Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Exploring Dynamic Routing As A Pooling Layer
Lei Zhao,
Lei Huang
[pdf]
[bibtex]
@InProceedings{Zhao_2019_ICCV_Workshops,
author = {Zhao, Lei and Huang, Lei},
title = {Exploring Dynamic Routing As A Pooling Layer},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Interpreting Intentionally Flawed Models with Linear Probes
Mara Graziani,
Henning Muller,
Vincent Andrearczyk
[pdf]
[bibtex]
@InProceedings{Graziani_2019_ICCV_Workshops,
author = {Graziani, Mara and Muller, Henning and Andrearczyk, Vincent},
title = {Interpreting Intentionally Flawed Models with Linear Probes},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Function Norms for Neural Networks
Amal Rannen-Triki,
Maxim Berman,
Vladimir Kolmogorov,
Matthew B. Blaschko
[pdf]
[bibtex]
@InProceedings{Rannen-Triki_2019_ICCV_Workshops,
author = {Rannen-Triki, Amal and Berman, Maxim and Kolmogorov, Vladimir and Blaschko, Matthew B.},
title = {Function Norms for Neural Networks},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?
Martin Mundt,
Iuliia Pliushch,
Sagnik Majumder,
Visvanathan Ramesh
[pdf]
[bibtex]
@InProceedings{Mundt_2019_ICCV_Workshops,
author = {Mundt, Martin and Pliushch, Iuliia and Majumder, Sagnik and Ramesh, Visvanathan},
title = {Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers?},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Direct Validation of the Information Bottleneck Principle for Deep Nets
Adar Elad,
Doron Haviv,
Yochai Blau,
Tomer Michaeli
[pdf]
[bibtex]
@InProceedings{Elad_2019_ICCV_Workshops,
author = {Elad, Adar and Haviv, Doron and Blau, Yochai and Michaeli, Tomer},
title = {Direct Validation of the Information Bottleneck Principle for Deep Nets},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Lautum Regularization for Semi-Supervised Transfer Learning
Daniel Jakubovitz,
Miguel R. D. Rodrigues,
Raja Giryes
[pdf]
[bibtex]
@InProceedings{Jakubovitz_2019_ICCV_Workshops,
author = {Jakubovitz, Daniel and Rodrigues, Miguel R. D. and Giryes, Raja},
title = {Lautum Regularization for Semi-Supervised Transfer Learning},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

A Novel Adversarial Inference Framework for Video Prediction with Action Control
Zhihang Hu,
Jason Wang
[pdf]
[bibtex]
@InProceedings{Hu_2019_ICCV_Workshops,
author = {Hu, Zhihang and Wang, Jason},
title = {A Novel Adversarial Inference Framework for Video Prediction with Action Control},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks
Ranganath Krishnan,
Mahesh Subedar,
Omesh Tickoo
[pdf]
[bibtex]
@InProceedings{Krishnan_2019_ICCV_Workshops,
author = {Krishnan, Ranganath and Subedar, Mahesh and Tickoo, Omesh},
title = {Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss
Abhinav Kumar,
Tim K. Marks,
Wenxuan Mou,
Chen Feng,
Xiaoming Liu
[pdf]
[bibtex]
@InProceedings{Kumar_2019_ICCV_Workshops,
author = {Kumar, Abhinav and Marks, Tim K. and Mou, Wenxuan and Feng, Chen and Liu, Xiaoming},
title = {UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference
Yury Gorbachev,
Mikhail Fedorov,
Iliya Slavutin,
Artyom Tugarev,
Marat Fatekhov,
Yaroslav Tarkan
[pdf]
[bibtex]
@InProceedings{Gorbachev_2019_ICCV_Workshops,
author = {Gorbachev, Yury and Fedorov, Mikhail and Slavutin, Iliya and Tugarev, Artyom and Fatekhov, Marat and Tarkan, Yaroslav},
title = {OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Stochastic Relational Network
Kang Min Yoo,
Hyun Soo Jo,
Hanbit Lee,
Jeeseung Han,
Sang-goo Lee
[pdf]
[bibtex]
@InProceedings{Yoo_2019_ICCV_Workshops,
author = {Min Yoo, Kang and Soo Jo, Hyun and Lee, Hanbit and Han, Jeeseung and Lee, Sang-goo},
title = {Stochastic Relational Network},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

On the Geometry of Rectifier Convolutional Neural Networks
Matteo Gamba,
Hossein Azizpour,
Stefan Carlsson,
Marten Bjorkman
[pdf]
[bibtex]
@InProceedings{Gamba_2019_ICCV_Workshops,
author = {Gamba, Matteo and Azizpour, Hossein and Carlsson, Stefan and Bjorkman, Marten},
title = {On the Geometry of Rectifier Convolutional Neural Networks},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}

Attack Agnostic Statistical Method for Adversarial Detection
Sambuddha Saha,
Aashish Kumar,
Pratyush Sahay,
George Jose,
Srinivas Kruthiventi,
Harikrishna Muralidhara
[pdf]
[bibtex]
@InProceedings{Saha_2019_ICCV_Workshops,
author = {Saha, Sambuddha and Kumar, Aashish and Sahay, Pratyush and Jose, George and Kruthiventi, Srinivas and Muralidhara, Harikrishna},
title = {Attack Agnostic Statistical Method for Adversarial Detection},
booktitle = {The IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}