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Research Tracks
- Advancing and understanding deep learning techniques
- Knowledge transfer
- Explainable deep networks
- Uncertainty estimation with deep networks
- Universal representation and multi-task learning
- High-impact applications of machine learning, including life science
Selected Publications
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Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye*,
Hossein Azizpour*,
Kevin Smith,
in International Conference on Machine Learning (ICML) 2018
Materials:
PDF
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The Preimage of Rectifier Network Activities
Stefan Carlsson
Hossein Azizpour,
Ali Sharif Razavian,
Josephine Sullivan,
Kevin Smith,
in International Conference on Learning Representation (ICLR) Workshop Track 2017
Materials:
PDF
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Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour,
Ali Sharif Razavian,
Josephine Sullivan,
Atsuto Maki,
Stefan Carlsson
in IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2016
Materials:
PDF
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Spotlight the Negatives: A Generalized Discriminative Latent Model
Hossein Azizpour,
Mostafa Arefiyan,
Sobhan Naderi Parizi,
Stefan Carlsson
in BMVC 2015, Swansea, UK
Materials:
PDF Poster PDF
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From Generic to Specific Deep Representation for Visual Recognition
[Best Paper Award]
Hossein Azizpour,
Ali Sharif Razavian,
Josephine Sullivan,
Atsuto Maki,
Stefan Carlsson
in CVPRW 2015, DeepVision workshop, Boston, US
Materials:
PDF Poster PDF
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Persistent Evidence of Local Image Properties in Generic ConvNets
Ali Sharif Razavian,
Hossein Azizpour,
Josephine Sullivan,
Atsuto Maki,
Carl Henrik Ek,
Stefan Carlsson
in SCIA 2015, Copenhagen, Denmark
Materials:
PDF
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Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach
Hossein Azizpour,
Stefan Carlsson
arXiv pre-print
Materials:
PDF
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CNN Features off-the-shelf: An Astounding Baseline for Recognition
[Best Paper Runner-up Award]
Ali S Razavian
Hossein Azizpour,
Josephine Sullivan,
Stefan Carlsson
in CVPRW 2014, DeepVision workshop, Columbus, US
Materials:
PDF
Project Page
arXiv Tech Report
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Multi-view Body Part Recognition with Random Forests [Best Industry Paper Award]
Vahid Kazemi,
Magnus Burenius,
Hossein Azizpour,
Josephine Sullivan,
in BMVC 2013, Bristol, UK
Materials:
Project and Data
PDF
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Object Detection Using Strongly-Supervised Deformable Part Models
Hossein Azizpour,
Ivan Laptev.
in ECCV 2012, Florence, Italy
Materials: Project and Data
Code
PDF
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Mixture Component Identification and Learning for Visual Recognition
Omid Aghazadeh,
Hossein Azizpour,
Josephine Sullivan,
Stefan Carlsson.
in ECCV 2012, Florence, Italy
Materials: PDF
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Institutes visited for research and collaboration
Some activities and hobbies
WARNING: The information published herein (except for the codes) is for the personal use of the reader. Copyright and all rights therein are retained by authors or by other copyright holders. Making copies of the information in full or any portion for purposes other than own use is a violation of copyright law. 
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