Contact

Martin Kiefel

Address: Spemannstr. 38
72076 Tübingen
Room number: 214
Phone: +49 7071 601 543
Fax: +49 7071 601 552
E-Mail: martin.kiefel
Print page    
Picture of Kiefel, Martin

Martin Kiefel

Position: PhD Student  Unit: Schölkopf

My work focuses on scene understanding of natural images where I apply machine learning, understanding of the physical process of image formation, and computer graphics. I am especially interested in estimating material properties of objects and light sources.

Preferences: 
References per page: Year: Medium:

  
Show abstracts

Articles (1):

Hennig P Person and Kiefel M Person (2013) Quasi-Newton Methods: A New Direction Journal of Machine Learning Research 14 807-829.
pdf

Conference papers (2):

Hennig P Person and Kiefel M Person (2012) Quasi-Newton Methods: A New Direction 29th International Conference on Machine Learning (ICML 2012), 1-8.
pdf
Gehler P Person, Rother C , Kiefel M Person, Zhang L Person and Schölkopf B Person (2011) Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance In: Advances in Neural Information Processing Systems 24, (Ed) J Shawe-Taylor, RS Zemel, PL Bartlett, FCN Pereira and KQ Weinberger, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Curran Associates, Inc., Red Hook, NY, USA, 765-773.
pdf

Export as:
BibTeX, XML, Pubman, Edoc