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Mario Fritz (Senior Researcher)


Contact

Phone
+49 681 93251204
Fax
Office
629

Research Projects

Publications

2014
Anytime Recognition of Objects and Scenes, S. Karayev, M. Fritz and T. Darrell, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2014) to appear PDF 
Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models, K. Rematas, T. Ritschel, M. Fritz and T. Tuytelaars, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2014) to appear PDF 
Ubic: Bridging the gap between digital cryptography and the physical world, M. Simkin, A. Bulling, M. Fritz and D. Schroeder, arXiv:1403.1343 [cs.CR], (2014)
2013
Learning Smooth Pooling Regions for Visual Recognition, M. Malinowski and M. Fritz, British Machine Vision Conference (BMVC), September, (2013) Abstract  PDF 
A Category-Level 3D Object Dataset: Putting the Kinect to Work, A. Janoch, S. Karayev, Y. Yia, J T. Barron, M. Fritz, K. Saenko and T. Darrell, Consumer Depth Cameras for Computer Vision, November, (2013)
Learnable Pooling Regions for Image Classification, M. Malinowski and M. Fritz, ICLR workshop, May, (2013)  PDF 
Dynamic Feature Selection for Classification on a Budget, S. Karayev, M. Fritz and T. Darrell, Prediction with Sequential Models (ICML workshop), June, (2013)  PDF 
Multi-Class Video Co-Segmentation with a Generative Multi-Video Model, W - C. Chiu and M. Fritz, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2013)  PDF 
Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling, E. Levinkov and M. Fritz, IEEE International Conference on Computer Vision (ICCV), December, (2013)
2012
Recognizing Materials from Virtual Examples, W. Li and M. Fritz, European Conference on Computer Vision (ECCV), October, (2012)  PDF 
Sparselet Models for Efficient Multiclass Object Detection, H O. Song, S. Zickler, T. Althoff, R. Girshick, M. Fritz, C. Geyer, P. Felzenszwalb and T. Darrell, European Conference on Computer Vision (ECCV), October, (2012)
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image, K. Rematas, M. Fritz and T. Tuytelaars, Asian Conference on Computer Vision (ACCV), November, (2012)
Semi-Supervised Learning on a Budget: Scaling up to Large Datasets, S. Ebert, M. Fritz and B. Schiele, Asian Conference on Computer Vision (ACCV), November, (2012)
RALF: A Reinforced Active Learning Formulation for Object Class Recognition, S. Ebert, M. Fritz and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2012)  PDF 
Timely Object Recognition, S. Karayev, T. Baumgartner, M. Fritz and T. Darrell, Neural Information Processing Systems (NIPS), December, (2012)
Active Metric Learning for Object Recognition, S. Ebert, M. Fritz and B. Schiele, Pattern Recognition (DAGM-OAGM), August, (2012)  PDF 
A Geometric Approach To Robotic Laundry Folding, S. Miller, J. van den Berg, M. Fritz, T. Darrell, K. Goldberg and P. Abbeel, International Journal of Robotics Research (IJRR), Volume 31, Number 2, p.249-267, (2012)
Kernel Density Topic Models: Visual Topics Without Visual Words, K. Rematas, M. Fritz and T. Tuytelaars, Modern Non-Parametric Methods in Machine Learning (NIPS workshop), (2012)  PDF 
2011
Perception for the Manipulation of Socks, P C. Wang, S. Miller, M. Fritz, T. Darrell and P. Abbeel, International Conference on Intelligent Robots and Systems (IROS), September, (2011)
Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation, S. Ebert, M. Fritz and B. Schiele, Pattern Recognition (DAGM), September, (2011)  PDF 
Practical 3-D Object Detection Using Category and Instance-level Appearance Models, K. Saenko, S. Karayev, Y. Yia, A. Shyr, A. Janoch, J. Long, M. Fritz and T. Darrell, International Conference on Intelligent Robots and Systems (IROS), September, (2011)
A Category-Level 3-D Object Dataset: Putting the Kinect to Work, A. Janoch, S. Karayev, Y. Jia, J T. Barron, M. Fritz, K. Saenko and T. Darrell, 1st Workshop on Consumer Depth Cameras for Computer Vision (ICCV workshop), November, (2011)
I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns, W - C. Chiu, U. Blanke and M. Fritz, 1st Workshop on Consumer Depth Cameras for Computer Vision (ICCV workshop), November, (2011)  PDF 
The NBNN kernel, T. Tuytelaars, M. Fritz, K. Saenko and T. Darrell, International Conference on Computer Vision (ICCV), November, (2011)
Visual Grasp Affordances From Appearance-Based Cues, H O. Song, M. Fritz, C. Gu and T. Darrell, 1st IEEE Workshop on Challenges and Opportunities in Robot Perception (ICCV workshop), November, (2011)
A Probabilistic Model for Recursive Factorized Image Features, S. Karayev, M. Fritz, S. Fidler and T. Darrell, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2011)
Improving the Kinect by Cross-Modal Stereo., W - C. Chiu, U. Blanke and M. Fritz, British Machine Vision Conference (BMVC), August, (2011)  PDF 
Parameterized Shape Models for Clothing, S. Miller, M. Fritz, T. Darrell and P. Abbeel, IEEE International Conference on Robotics and Automation (ICRA), (2011) to appear
2010
Adapting Visual Category Models to New Domains, K. Saenko, B. Kulis, M. Fritz and T. Darrell, European Conference on Computer Vision (ECCV), September, (2010)
Size Matters: Metric Visual Search Constraints from Monocular Metadata, M. Fritz, K. Saenko and T. Darrell, Neural Information Processing Systems (NIPS), December, (2010)
Categorical Perception, M. Fritz, M. Andriluka, S. Fidler, M. Stark, A. Leonardis and B. Schiele, Cognitive Systems, Volume 8, (2010)
Classifying Materials in the Real World, B. Caputo, E. Hayman, M. Fritz and J - O. Eklundh, Image and Vision Computing, Volume 28, Number 1, p.150–163, (2010)
Multi-Modal Learning, D. Skocaj, M. Kristan, A. Vrecko, A. Leonardis, M. Fritz, M. Stark, B. Schiele, S. Hongeng and J L. Wyatt, Cognitive Systems, Volume 8, (2010)
Tutor-based learning of visual categories using different levels of supervision, M. Fritz, G - J M. Kruijff and B. Schiele, Computer Vision and Image Understanding (CVIU), Volume 114, Number 5, p.564–573, (2010)
2009
Computer Vision Systems, M. Fritz, B. Schiele and J H. Piater, International Conference on Computer Vision Systems (ICVS), October, Volume 5815, (2009)
Discriminative Structure Learning of Hierarchical Representations for Object Detection, P. Schnitzspan, M. Fritz, S. Roth and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2009)  PDF 
Modeling, Representing and Learning of Visual Categories, M. Fritz, Computer Science, June, Darmstadt, (2009)
An Additive Latent Feature Model for Transparent Object Recognition, M. Fritz, M. Black, G. Bradski, S. Karayev and T. Darrell, Neural Information Processing Systems (NIPS), December, (2009)
Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories, M. Fritz and B. Schiele, Object Categorization: Computer and Human Vision Perspectives, p.324-347, (2009)
2008
Discovery of Activity Patterns using Topic Models, Tâm. Huynh, M. Fritz and B. Schiele, International Conference on Ubiquitous Computing (UbiComp), September, (2008)  PDF 
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features, P. Schnitzspan, M. Fritz and B. Schiele, European Conference on Computer Vision (ECCV), October, (2008)  PDF 
Decomposition, Discovery and Detection of Visual Categories Using Topic Models, M. Fritz and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2008)
2007
Cross-Modal Learning of Visual Categories using Different Levels of Supervision, M. Fritz, G - J M. Kruijff and B. Schiele, International Conference on Computer Vision Systems (ICVS), March, (2007)  PDF 
Towards Robust Pedestrian Detection in Crowded Image Sequences, E. Seemann, M. Fritz and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2007)
2006
Towards Unsupervised Discovery of Visual Categories, M. Fritz and B. Schiele, Pattern Recognition (DAGM), September, (2006)  PDF 
2005
Integrating Representative and Discriminant Models for Object Category Detection, M. Fritz, B. Leibe, B. Caputo and B. Schiele, IEEE International Conference on Computer Vision (ICCV), October, (2005)  PDF 
The 2005 PASCAL Visual Object Classes Challenge, M. Everingham, A. Zisserman, C K I. Williams, L V. Gool, M. Allan, C M. Bishop, O. Chapelle, N. Dalal, T. Deselaers, G. Dorkó, et al., The first PASCAL Machine Learning Challenges Workshop, Lecture Notes in Computer Science, p.117-176, (2005)
2004
On the Significance of Real-World Conditions for Material Classification, E. Hayman, B. Caputo, M. Fritz and J - O. Eklundh, European Conference on Computer Vision (ECCV), May, (2004)
2002
Object Tracking and Pose Estimation Using Light-Field Object Models, M. Zobel, M. Fritz and I. Scholz, Vision, Modeling, and Visualization Conference, November, (2002)

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