Statistical Deep Learning in Computer Vision
Squeezed Bilinear Pooling for Fine-Grained Visual Categorization-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Exploring Dynamic Routing As A Pooling Layer-
[pdf]
[bibtex]@InProceedings{Zhao_2019_ICCV_Workshops,
author = {Zhao, Lei and Huang, Lei},
title = {Exploring Dynamic Routing As A Pooling Layer},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Interpreting Intentionally Flawed Models with Linear Probes-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Function Norms for Neural Networks-
[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 = {Proceedings of the IEEE/CVF 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?-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Direct Validation of the Information Bottleneck Principle for Deep Nets-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Lautum Regularization for Semi-Supervised Transfer Learning-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
A Novel Adversarial Inference Framework for Video Prediction with Action Control-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
UGLLI Face Alignment: Estimating Uncertainty with Gaussian Log-Likelihood Loss-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
OpenVINO Deep Learning Workbench: Comprehensive Analysis and Tuning of Neural Networks Inference-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Stochastic Relational Network-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
On the Geometry of Rectifier Convolutional Neural Networks-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}
Attack Agnostic Statistical Method for Adversarial Detection-
[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 = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2019}
}