Personal Info

Since January 2009 I am working as a Senior Researcher for Video Analysis for StreamSage, a wholly owned subsidiary of Comcast that focuses on Search and Discovery. 

Before that I worked rom August 2004 until December 2008 as a Research Scientist for the Real-time Vision and Modeling Department of Siemens Corporate Research (Princeton, NJ) and the Information & Communication Division of Siemens Corporate Technology (Munich, Germany).

In August 2004 I graduated  from the Computer Vision Lab at the University of Maryland where my advisor was Yiannis Aloimonos.

The best way to reach me is via email at either jan_neumann AT cable DOT comcast DOT com (work) or jankneumann AT gmail DOT com (private).

Research Overview

StreamSage/Comcast (2009 - Now)

Currently I work on computer vision and machine learning problems related to video summarization and chaptering, object and person recognition, and activity classification in premium broadcast video. We specifically focus on multi-modal approaches to these problems by combining methods from video, speech, sound and natural language processing.

Siemens Corporate Research (2004 - 2008)

At Siemens I mainly worked mainly on pedestrian detection as part of a night vision system for cars (video of a comparison of our system against BMW and Daimler-Chrysler - in German) and for surveillance applications (see my CVPR 2007 paper).


Doctoral Research at the University of Maryland, College Park (1997 - 2004)

During my graduate studies I studied the geometry and statistics of visual space-time, i.e. representations of 3D shape and movement that can be extracted from images. This work had applications in many areas of computer vision and graphics, for example it lead to

	•  a better understanding of the geometric structure of the space of light rays ,
	•  the design of novel image sensors, and the development of new vision algorithms that utilize the special properties of these new sensors (example 3D structure from motion),
	•  new approaches to capture and analyze the 3D shape and motion of non-rigidly moving humans and objects, also take a look at the 3D Photography Challenge that we organized as part of the Second International Symposium on 3DPVT (3D Data Processing, Visualization, and Transmission)
	•  and methods rooted in geometry and statistics to track independently moving objects in videos.

More detailed information about my research can be found on my research overview page and in my publications.

While this site is under construction, you can find more information about my thesis work at my old university web page here.

Selected Publications

(see Publications for the full list)

1. Bilattice based Logical Reasoning for Human Detection.
   Vinay D. Shet, Jan Neumann, Visvanathan Ramesh and Larry S. Davis.
   IEEE Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, USA, 2007
   (link to preprint) (link to conference poster)
   
   
2. Microphone Arrays as Generalized Cameras for Integrated Audio Visual Processing.
   Adam O' Donovan, Ramani Duraiswami and Jan Neumann.
   Oral presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Minneapolis, MN, USA, 2007
   (link to preprint) (slides with supplemental materials)
   (project web page) (movie .wmv)  (movie2 .wmv)

3. Compound Eye Sensor for 3D Ego Motion Estimation.
   Jan Neumann, Cornelia Fermüller, Yiannis Aloimonos and Vladimir Brajovic.
   IEEE International Conference on Robotics and Automation, 2004, Vol. 4, Pages: 3712- 37174
   (link to published paper) (link to preprint)
   

4. A hierarchy of cameras for 3d photography.
   Jan Neumann, Cornelia Fermüller, and Yiannis Aloimonos.
   Computer Vision and Image Understanding, Volume 96, Issue 3 , December 2004, Pages 274-293,
   Special issue on model-based and image-based 3D scene representation for interactive visualization
   (Link to published paper) (Link to preprint)

5. Plenoptic video geometry.
   Jan Neumann and Cornelia Fermüller.
   Visual Computer, Volume 19, Number 6, Pages 395-404, October 2003.
   (Link to published paper) (Link to preprint)

6. Spatio-temporal stereo using multi-resolution subdivision surfaces.
   Jan Neumann and Yiannis Aloimonos.
   International Journal of Computer Vision, 47(1/2/3):181-193, 2002.
   (Link to published paper) (Link to preprint)
   
   

"The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore all progress depends on the unreasonable man." G.B. Shaw