Hossein Azizpour

Assistant Professor in Machine Learning

Robotics, Perception, and Learning (RPL) department

Google Scholar
Teknikringen 14, Floor 6, Room 610
+46 (8) 790 6719
azizpourkth.se


Research Tracks

  • Advancing and understanding deep learning techniques
  • Knowledge transfer
  • Universal representation and multi-task learning
  • High-impact applications of machine learning, including life science

Publications



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
 
 
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
 
 
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
 
 
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
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
Self-tuned Visual Subclass Learning with Shared Samples An Incremental Approach
Hossein Azizpour, Stefan Carlsson   
arXiv pre-print

Materials: PDF
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  
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
Object Detection Using Strongly-Supervised Deformable Part Models
Hossein Azizpour, Ivan Laptev.   
in ECCV 2012, Florence, Italy
Materials:   Project and Data   Code    PDF
Mixture Component Identification and Learning for Visual Recognition
Omid Aghazadeh, Hossein Azizpour, Josephine Sullivan, Stefan Carlsson.
in ECCV 2012, Florence, Italy
Materials: PDF

Selected Awards and Honors

  • ranked 1st for the position of assistant professor in machine learning, KTH, 2017
  • top-10 highest-cited computer vision paper on arXiv in last 5 years, [Google Scholar] 2017
  • Best Paper Award from DeepVision workshop in CVPR 2015
  • Google Travel Grant for CVPR 2015 DeepVision workshop
  • Best Paper Runner-Up Award from DeepVision workshop in CVPR 2014
  • Best Industry Paper Prize from BMVC 2013
  • Outstanding reviewers' award for CVPR 2013
  • Two times ACM ICPC World Finalist 2007 in Tokyo, Japan and 2008 in Banff, Canada

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.