Uncertainty and Robustness in Deep Visual Learning


Active Adversarial Domain Adaptation
Jong-Chyi Su,
Yi-Hsuan Tsai,
Kihyuk Sohn,
Buyu Liu,
Subhransu Maji,
Manmohan Chandraker
[pdf]
[bibtex]
@InProceedings{Su_2019_CVPR_Workshops,
author = {Su, Jong-Chyi and Tsai, Yi-Hsuan and Sohn, Kihyuk and Liu, Buyu and Maji, Subhransu and Chandraker, Manmohan},
title = {Active Adversarial Domain Adaptation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks
Hao-Yu Yang,
Junling Yang,
Yue Pan,
Kunlin Cao,
Qi Song,
Feng Gao,
Youbing Yin
[pdf]
[bibtex]
@InProceedings{Yang_2019_CVPR_Workshops,
author = {Yang, Hao-Yu and Yang, Junling and Pan, Yue and Cao, Kunlin and Song, Qi and Gao, Feng and Yin, Youbing},
title = {Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models
Judith Butepage,
Petra Poklukar,
Danica Kragic
[pdf]
[bibtex]
@InProceedings{Butepage_2019_CVPR_Workshops,
author = {Butepage, Judith and Poklukar, Petra and Kragic, Danica},
title = {Modeling assumptions and evaluation schemes: On the assessment of deep latent variable models},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

On the Sensitivity of Adversarial Robustness to Input Data Distributions
Gavin Weiguang Ding,
Kry Yik Chau Lui,
Xiaomeng Jin,
Luyu Wang,
Ruitong Huang
[pdf]
[bibtex]
@InProceedings{Ding_2019_CVPR_Workshops,
author = {Weiguang Ding, Gavin and Yik Chau Lui, Kry and Jin, Xiaomeng and Wang, Luyu and Huang, Ruitong},
title = {On the Sensitivity of Adversarial Robustness to Input Data Distributions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Empirical Study of MC-Dropout in Various Astronomical Observing Conditions
Noble Kennamer,
Alex Ihler,
David Kirkby
[pdf]
[bibtex]
@InProceedings{Kennamer_2019_CVPR_Workshops,
author = {Kennamer, Noble and Ihler, Alex and Kirkby, David},
title = {Empirical Study of MC-Dropout in Various Astronomical Observing Conditions},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty
Akari Asai,
Daiki Ikami,
Kiyoharu Aizawa
[pdf]
[bibtex]
@InProceedings{Asai_2019_CVPR_Workshops,
author = {Asai, Akari and Ikami, Daiki and Aizawa, Kiyoharu},
title = {Multi-Task Learning based on Separable Formulation of Depth Estimation and its Uncertainty},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Automated Label Noise Identification for Facial Attribute Recognition
Jeremy Speth,
Emily M. Hand
[pdf]
[bibtex]
@InProceedings{Speth_2019_CVPR_Workshops,
author = {Speth, Jeremy and Hand, Emily M.},
title = {Automated Label Noise Identification for Facial Attribute Recognition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Incremental Learning with Unlabeled Data in the Wild
Kibok Lee,
Kimin Lee,
Jinwoo Shin,
Honglak Lee
[pdf]
[bibtex]
@InProceedings{Lee_2019_CVPR_Workshops,
author = {Lee, Kibok and Lee, Kimin and Shin, Jinwoo and Lee, Honglak},
title = {Incremental Learning with Unlabeled Data in the Wild},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Uncertainty Based Detection and Relabeling of Noisy Image Labels
Jan M. Kohler,
Maximilian Autenrieth,
William H. Beluch
[pdf]
[bibtex]
@InProceedings{Kohler_2019_CVPR_Workshops,
author = {Kohler, Jan M. and Autenrieth, Maximilian and Beluch, William H.},
title = {Uncertainty Based Detection and Relabeling of Noisy Image Labels},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Measuring Calibration in Deep Learning
Jeremy Nixon,
Michael W. Dusenberry,
Linchuan Zhang,
Ghassen Jerfel,
Dustin Tran
[pdf]
[bibtex]
@InProceedings{Nixon_2019_CVPR_Workshops,
author = {Nixon, Jeremy and Dusenberry, Michael W. and Zhang, Linchuan and Jerfel, Ghassen and Tran, Dustin},
title = {Measuring Calibration in Deep Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Benchmarking Sampling-based Probabilistic Object Detectors
Dimity Miller,
Niko Sunderhauf,
Haoyang Zhang,
David Hall,
Feras Dayoub
[pdf]
[bibtex]
@InProceedings{Miller_2019_CVPR_Workshops,
author = {Miller, Dimity and Sunderhauf, Niko and Zhang, Haoyang and Hall, David and Dayoub, Feras},
title = {Benchmarking Sampling-based Probabilistic Object Detectors},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Yongqin Xian,
Saurabh Sharma,
Bernt Schiele,
Zeynep Akata
[pdf]
[bibtex]
@InProceedings{Xian_2019_CVPR_Workshops,
author = {Xian, Yongqin and Sharma, Saurabh and Schiele, Bernt and Akata, Zeynep},
title = {f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Structured Aleatoric Uncertainty in Human Pose Estimation
Nitesh B. Gundavarapu,
Divyansh Srivastava,
Rahul Mitra,
Abhishek Sharma,
Arjun Jain
[pdf]
[bibtex]
@InProceedings{Gundavarapu_2019_CVPR_Workshops,
author = {Gundavarapu, Nitesh B. and Srivastava, Divyansh and Mitra, Rahul and Sharma, Abhishek and Jain, Arjun},
title = {Structured Aleatoric Uncertainty in Human Pose Estimation},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Generalized Zero-Shot Learning via Aligned Variational Autoencoders
Edgar Schonfeld,
Sayna Ebrahimi,
Samarth Sinha,
Trevor Darrell,
Zeynep Akata
[pdf]
[bibtex]
@InProceedings{Schonfeld_2019_CVPR_Workshops,
author = {Schonfeld, Edgar and Ebrahimi, Sayna and Sinha, Samarth and Darrell, Trevor and Akata, Zeynep},
title = {Generalized Zero-Shot Learning via Aligned Variational Autoencoders},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
Matthias Hein,
Maksym Andriushchenko,
Julian Bitterwolf
[pdf]
[bibtex]
@InProceedings{Hein_2019_CVPR_Workshops,
author = {Hein, Matthias and Andriushchenko, Maksym and Bitterwolf, Julian},
title = {Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract
Sayna Ebrahimi,
Mohamed Elhoseiny,
Trevor Darrell,
Marcus Rohrbach
[pdf]
[bibtex]
@InProceedings{Ebrahimi_2019_CVPR_Workshops,
author = {Ebrahimi, Sayna and Elhoseiny, Mohamed and Darrell, Trevor and Rohrbach, Marcus},
title = {Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy
Robert Dupre,
Jiri Fajtl,
Vasileios Argyriou,
Paolo Remagnino
[pdf]
[bibtex]
@InProceedings{Dupre_2019_CVPR_Workshops,
author = {Dupre, Robert and Fajtl, Jiri and Argyriou, Vasileios and Remagnino, Paolo},
title = {Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection
Valentin Peretroukhin,
Brandon Wagstaff,
and Jonathan Kelly
[pdf]
[bibtex]
@InProceedings{Peretroukhin_2019_CVPR_Workshops,
author = {Peretroukhin, Valentin and Wagstaff, Brandon and Jonathan Kelly, and},
title = {Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Improving Deep Network Robustness to Unknown Inputs with Objectosphere
Akshay Raj Dhamija,
Manuel Gunther,
Terrance E. Boult
[pdf]
[bibtex]
@InProceedings{Dhamija_2019_CVPR_Workshops,
author = {Raj Dhamija, Akshay and Gunther, Manuel and Boult, Terrance E.},
title = {Improving Deep Network Robustness to Unknown Inputs with Objectosphere},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Learning Conditional Error Model for Simulated Time-Series Data
Ashish Shrivastava,
Oncel Tuzel
[pdf]
[bibtex]
@InProceedings{Shrivastava_2019_CVPR_Workshops,
author = {Shrivastava, Ashish and Tuzel, Oncel},
title = {Learning Conditional Error Model for Simulated Time-Series Data},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles
Ibrahim Ben Daya,
Mohammad Javad Shafiee,
Michelle Karg,
Christian Scharfenberger,
Alexander Wong
[pdf]
[bibtex]
@InProceedings{Daya_2019_CVPR_Workshops,
author = {Ben Daya, Ibrahim and Javad Shafiee, Mohammad and Karg, Michelle and Scharfenberger, Christian and Wong, Alexander},
title = {SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Unsupervised Domain Adaptation via Calibrating Uncertainties
Ligong Han,
Yang Zou,
Ruijiang Gao,
Lezi Wang,
Dimitris Metaxas
[pdf]
[bibtex]
@InProceedings{Han_2019_CVPR_Workshops,
author = {Han, Ligong and Zou, Yang and Gao, Ruijiang and Wang, Lezi and Metaxas, Dimitris},
title = {Unsupervised Domain Adaptation via Calibrating Uncertainties},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference
Mahesh Subedar,
Ranganath Krishnan,
Paulo Lopez Meyer,
Omesh Tickoo,
Jonathan Huang
[pdf]
[bibtex]
@InProceedings{Subedar_2019_CVPR_Workshops,
author = {Subedar, Mahesh and Krishnan, Ranganath and Lopez Meyer, Paulo and Tickoo, Omesh and Huang, Jonathan},
title = {Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}

GAN Data Augmentation Through Active Learning Inspired Sample Acquisition
Christopher Nielsen,
Michal Okoniewski
[pdf]
[bibtex]
@InProceedings{Nielsen_2019_CVPR_Workshops,
author = {Nielsen, Christopher and Okoniewski, Michal},
title = {GAN Data Augmentation Through Active Learning Inspired Sample Acquisition},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}