Filter Results:
- Full text PDF available (87)
Publication Year
1998
2018
- This year (17)
- Last 5 years (93)
- Last 10 years (127)
Publication Type
Co-author
Journals and Conferences
Data Set Used
Learn More
- Kate Saenko, Brian Kulis, Mario Fritz, Trevor Darrell
- ECCV
- 2010
Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recognition. We introduce a method… (More)
- Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof Eklundh
- ECCV
- 2004
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D structure can… (More)
- Allison Janoch, Sergey Karayev, +4 authors Trevor Darrell
- 2011 IEEE International Conference on Computer…
- 2011
Recent proliferation of a cheap but quality depth sensor, the Microsoft Kinect, has brought the need for a challenging category-level 3D object detection dataset to the fore. We review current 3D… (More)
- Mateusz Malinowski, Mario Fritz
- NIPS
- 2014
We propose a method for automatically answering questions about images by bringing together recent advances from natural language processing and computer vision. We combine discrete reasoning with… (More)
- Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
- 2015 IEEE International Conference on Computer…
- 2015
We address a question answering task on real-world images that is set up as a Visual Turing Test. By combining latest advances in image representation and natural language processing, we propose… (More)
- Tâm Huynh, Mario Fritz, Bernt Schiele
- UbiComp
- 2008
In this work we propose a novel method to recognize daily routines as a probabilistic combination of activity patterns. The use of topic models enables the automatic discovery of such patterns in a… (More)
- Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
- 2015 IEEE Conference on Computer Vision and…
- 2015
Appearance-based gaze estimation is believed to work well in real-world settings, but existing datasets have been collected under controlled laboratory conditions and methods have been not evaluated… (More)
- Mark Everingham, Andrew Zisserman, +31 authors Jianguo Zhang
- MLCW
- 2005
The PASCAL Visual Object Classes Challenge ran from February to March 2005. The goal of the challenge was to recognize objects from a number of visual object classes in realistic scenes (i.e. not… (More)
- Walon Wei-Chen Chiu, Mario Fritz
- 2013 IEEE Conference on Computer Vision and…
- 2013
Video data provides a rich source of information that is available to us today in large quantities e.g. from on-line resources. Tasks like segmentation benefit greatly from the analysis of… (More)
- Tinne Tuytelaars, Mario Fritz, Kate Saenko, Trevor Darrell
- 2011 International Conference on Computer Vision
- 2011
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results thanks to the… (More)