Sie sind nicht angemeldet 
|
Anmelden
|
Anmelden
max planck institut
informatik
informatik
Mario Fritz (Researcher)
I recently moved to MPI where I am leading a research group. Previously, I was a postdoc in Professor Trevor Darrell's vision group at the Internation Computer Science Institue (ICSI) as well as at UC Berkeley. I'm currently looking for motivated PhD students who are interested in computer vision and machine learning. To apply please send your application material to mfritz@mpi-inf.mpg.de .
I have a broad interest in building computational models for visual perception. My main focus is on recognition, detection and tracking of visual object categories. In particular, I am investigating different ways of providing supervision, combining different feature characteristics and modeling visual categories. Currently, I am very excited about addressing challenges in computer vision and machine learning that enable us to build computer vision systems that combine multiple modalities in order to address problems relevant to applications in robotics.
Education
Teaching
Short-Bio
Research Projects
currently no projects published
Publications
RALF: A Reinforced Active Learning Formulation for Object Class Recognition,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 06/2012, Providence, Rhode Island, (2012)
PDF
A Category-Level 3-D Object Dataset: Putting the Kinect to Work,
ICCV Workshop on Consumer Depth Cameras for Computer Vision, to appear, (2011)
A Geometric Approach To Robotic Cloth Folding,
International Journal of Robotics Research (IJRR) , to appear, (2011)
Kernalized NBNN,
International Conference on Computer Vision (ICCV), to appear, (2011)
Perception for the Manipulation of Socks,
International Conference on Intelligent Robots and Systems (IROS), to appear, (2011)
Practical 3-D Object Detection Using Category and Instance-level Appearance Models,
International Conference on Intelligent Robots and Systems (IROS), to appear, (2011)
A Probabilistic Model for Recursive Factorized Image Features,
Computer Vision and Pattern Recognition (CVPR), to appear, (2011)
Visual Grasp Affordances From Appearance-Based Cues,
1st IEEE Workshop on Challenges and Opportunities in Robot Perception at ICCV, to appear, (2011)
Pick your Neighborhood -- Improving Labels and Neighborhood Structure for Label Propagation,
Pattern Recognition DAGM Symposium, 2011, (2011)
PDF
I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns,
1st IEEE Workshop on Consumer Depth Cameras for Computer Vision in conjuction with ICCV, 11/2011, Barcelona, Spain, (2011)
Improving the Kinect by Cross-Modal Stereo.,
22nd British Machine Vision Conference (BMVC), 08/2011, Dundee, UK, (2011)
PDF
Parameterized Shape Models for Clothing,
International Conference on Robotics and Automation (ICRA), Shanghai, China, (2011)
to appear
Tutor-based learning of visual categories using different levels of supervision,
Computer Vision and Image Understanding, May, Volume 114, New York, NY, USA, p.564–573, (2010)
Classifying materials in the real world,
Image and Vision Computing, January, Volume 28, Newton, MA, USA, p.150–163, (2010)
Adapting visual category models to new domains,
Proceedings of the 11th European conference on Computer vision: Part IV, Berlin, Heidelberg, p.213–226, (2010)
Categorical Perception,
Cognitive Systems, Number 8, (2010)
Multi-Modal Learning,
Cognitive Systems, Number 8, (2010)
Size Matters: Metric Visual Search Constraints from Monocular Metadata,
Advances in Neural Information Processing Systems 23, p.622–630, (2010)
Towards Integration of Different Paradigms in Modeling, Representation, and Learning of Visual Categories,
In Object Categorization: Computer and Human Vision Perspectives, S. Dickinson, A. Leonardis, B. Schiele, and M. Tarr, eds., pp. 324-347, Cambridge University Press 2009, (2010)
Modeling, Representing and Learning of Visual Categories,
, June, Darmstadt, (2009)
Discriminative Structure Learning of Hierarchical Representations for Object Detection,
Computer Vision and Pattern Recognition (CVPR), 06/2009, Miami, USA, (2009)
PDF
An Additive Latent Feature Model for Transparent Object Recognition,
Advances in Neural Information Processing Systems 22, p.558–566, (2009)
Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories,
Object Categorization: Computer and Human Vision Perspectives, (2009)
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features,
European Conference on Computer Vision (ECCV), 10/2008, Marseille, France, (2008)
PDF
Decomposition, Discovery and Detection of Visual Categories Using Topic Models,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'08), Anchorage, USA, (2008)
PDF
Discovery of activity patterns using topic models,
Proceedings of the 10th international conference on Ubiquitous computing, p.10–19, (2008)
PDF
Cross-Modal Learning of Visual Categories using Different Levels of Supervision,
International Conference on Vision Systems (ICVS'07), Bielefeld, Germany, (2007)
PDF
Towards Robust Pedestrian Detection in Crowded Image Sequences,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, USA, (2007)
PDF
Towards Unsupervised Discovery of Visual Categories,
, 09/2006, Berlin, Germany, (2006)
PDF
The 2005 PASCAL Visual Object Classes Challenge,
Selected Proceedings of the first PASCAL Challenges Workshop, (2006)
Integrating Representative and Discriminant Models for Object Category Detection,
International Conference on Computer Vision (ICCV'05), Beijing, China, (2005)
PDF
On the Significance of Real-World Conditions for Material Classification,
European Conference on Computer Vision, p.253-266, (2004)
Object Tracking and Pose Estimation Using Light-Field Object Models,
Vision, Modeling, and Visualization Conference, p.371-378, (2002)
