Björn Stenger

Lead Research Scientist
Rakuten Institute of Technology (RIT)
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About me

I am a researcher at the Rakuten Institute of Technology, where I work on computer vision and machine learning. My current work is on 3D reconstruction, visual search, image super-resolution, and video understanding.

Prior to Rakuten I worked at Toshiba Research (research page). I completed my PhD in computer vision at the University of Cambridge in Roberto Cipolla's group, co-supervised by Philip Torr. My Diplom in Computer Science is from the University of Bonn. During my studies, I spent time at the University of Victoria, Hewlett-Packard, and Siemens Corporate Research.

News

2017/11 - Rakuten Floor Plan (R-FP-500) data from MVA 2017 paper is available.

2017/10 - Tomoyuki Mukasa presents work on 3D scene capture at ICCV workshop "Geometry Meets Deep Learning".

2017/10 - Welcome Bhaskar Rao from IIT Bombay!

Recent work

ByNet-SR: Image Super Resolution with a Bypass Connection Network
J. Xu, Y. Chae, B. Stenger,
ICIP, September 2017.

New CNN architecture for image super-resolution with good quality/speed trade-off

[bibtex]
@InProceedings{XuICIP2017,
  author = {Xu, J. and Chae, Y. and Stenger, B.},
  title  = {{ByNet-SR}: Image Super Resolution with a 
            Bypass Connection Network},
  year   = {2017},
  month = {September},
  booktitle = {ICIP}
}
    
BigHand2.2M Benchmark: Hand Pose Data Set and State of the Art Analysis
S. Yuan, Q. Ye, B. Stenger, S. Jain, T.-K. Kim,
CVPR, July 2017.

A new large dataset of depth maps with annotated 3D hand joints using a magnetic tracking system. The data is also used in the Hands in the Million Challenge.

[arxiv] [bibtex]

@InProceedings{YuanCVPR2017,
  author =   {Yuan, S. and Ye, Q. and Stenger, B. 
              and Jain, S. and Kim, T.-K."},
  title =    {BigHand2.2M Benchmark: Hand Pose Data Set 
              and State of the Art Analysis},
  booktitle = {CVPR},
  year =      {2017},
  month =     {July}
}
    
Parsing Floor Plan Images
S. Dodge, J. Xu, B. Stenger,
MVA, May 2017.

Wall segmentation using fully convolutional networks (FCN) and applications in furniture fitting and 3D modeling

[R-FP dataset] [video] [bibtex]
@InProceedings{DodgeMVA2017,
   author  = {Dodge, S. and Xu, J. and Stenger, B.},
   title   = {Parsing Floor Plan Images},
   year    = {2017},
   month   = {May},
   booktitle = {MVA}
}
    
Pano2CAD: Room Layout From A Single Panorama Image
J. Xu, B. Stenger, T. Kerola, T. Tung,
WACV, March 2017.

Estimating 3D room geometry from a single panorama image using surface normal estimation, 2D object detection and 3D object pose estimation

[arxiv] [bibtex]
@InProceedings{XuWACV2017,
   author  = {Xu, J. and Stenger, B. and Kerola T. and Tung, T.},
   title   = {Pano2CAD: Room Layout From A Single Panorama Image},
   year    = {2017},
   month   = {March},
   booktitle = {WACV}
}
    

design credits