Your search returned the following 25 documents:

25. Multi-Cue Zero-Shot Learning with Strong Supervision
    Zeynep Akata, Mateusz Malinowski, Mario Fritz, and Bernt Schiele
    In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, 2016
    
24. Joint Segmentation and Activity Discovery using Semantic and Temporal Priors
    Julia Seiter, Wei-Chen Chiu, Mario Fritz, Oliver Amft, and Gerhard Troester
    In: IEEE Internation Conference on Pervasive Computing and Communication (PERCOM), St. Louis, Missouri, USA, 2015
    
23. : Beyond Image-to-Class and Image-to-Image
    Konstantinos Rematas, Mario Fritz, and Tinne Tuytelaars
    In: 11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, KoreaThe Pooled NBNN Kernel, 2013
    
22. Multi-Class Video Co-Segmentation with a Generative Multi-Video Model
    Walon Wei-Chen Chiu and Mario Fritz
    In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), Portland, Oregon, U.S.A, 2013
    
21. Semi-Supervised Learning on a Budget: Scaling up to Large Datasets
    Sandra Ebert, Mario Fritz, and Bernt Schiele
    In: 11th Asian Conference on Computer Vision (ACCV 2012), Daejeon, Korea, 2013
    
20. A Geometric Approach To Robotic Laundry Folding
    Stephen Miller, Jur van den Berg, Mario Fritz, Trevor Darrell, Ken Goldberg, and Pieter Abbeel
    International Journal of Robotics Research 31 (2): 249-267, 2012
    
19. Active Metric Learning for Object Recognition
    Sandra Ebert, Mario Fritz, and Bernt Schiele
    In: Pattern Recognition : Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, 2012, 327-336
    
18. Recognizing Materials from Virtual Examples
    Wenbin Li and Mario Fritz
    In: Computer Vision - ECCV 2012 : 12th European Conference on Computer Vision, Florence, Italy, 2012, 345-358
    
17. Sparselet Models for Efficient Multiclass Object Detection
    Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross B. Girshick, Mario Fritz, Christoph Geyer, Pedro F. Felzenszwalb, and Trevor Darrell
    In: Computer Vision - ECCV 2012 : 12th European Conference on Computer Vision, Florence, Italy, 2012, 802-815
    
16. Timely Object Recognition
    Sergey Karayev, Tobias Baumgarnter, Mario Fritz, and Trevor Darrell
    In: Advances in Neural Information Processing Systems 25 (NIPS 2012), Lake Tahoe, USA, 2012, 899-907
    
15. RALF: A Reinforced Active Learning Formulation for Object Class Recognition
    Sandra Ebert, Mario Fritz, and Bernt Schiele
    In: 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, RI, 2012, 3626-3633
    
14. A Category-Level 3-D Object Dataset: Putting the Kinect to Work
    Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell
    In: 2011 IEEE International Conference on Computer Vision : WS15, 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision, Barcelona, Spain, 2011, 1168-1174
    
13. A Probabilistic Model for Recursive Factorized Image Features
    Sergey Karayev, Mario Fritz, Sanja Fidler, and Trevor Darrell
    In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, CO, 2011, 401-408
    
12. I spy with my little eye: Learning Optimal Filters for Cross-Modal Stereo under Projected Patterns
    Wei-Chen Chiu, Ulf Blanke, and Mario Fritz
    In: 2011 IEEE International Conference on Computer Vision : WS15, 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision, Barcelona, Spain, 2011, 1209-1214
    
11. Improving the Kinect by Cross-Modal Stereo.
    Wei-Chen Chiu, Ulf Blanke, and Mario Fritz
    In: Proceedings of the British Machine Vision Conference 2011 (BMVC 2011), Dundee, UK, 2011, 116.1-116.10, paper no. 116.
    
10. Parametrized shape models for clothing
    Stephen Miller, Mario Fritz, Trevor Darrell, and Pieter Abbeel
    In: IEEE International Conference on Robotics and Automation (ICRA-11), Shanghai, China, 2011, 4861-4868
    
9. Perception for the Manipulation of Socks
   Ping Chuan Wang, Stephen Miller, Mario Fritz, Trevor Darrell, and Pieter Abbeel
   In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'11), San Francisco, USA, 2011, 4877-4884
   
8. Pick your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation
   Sandra Ebert, Mario Fritz, and Bernt Schiele
   In: Pattern Recognition : 33rd DAGM Symposium, Frankfurt, Germany, 2011, 152-162
   
7. Practical 3-D Object Detection Using Category and Instance-level Appearance Models
   Kate Saenko, Sergey Karayev, Yangqing Yia, Alex Shyr, Allie Janoch, Jonathan Long, Mario Fritz, and Trevor Darrell
   In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'11), San Francisco, USA, 2011, 793-800
   
6. The NBNN kernel
   Tinne Tuytelaars, Mario Fritz, Kate Saenko, and Trevor Darrell
   In: 2011 IEEE International Conference on Computer Vision (ICCV), Barcelona, Spain, 2011, 1824-1831
   
5. Visual Grasp Affordances From Appearance-Based Cues
   Hyun Oh Song, Mario Fritz, Chunhui Gu, and Trevor Darrell
   In: 2011 IEEE International Conference on Computer Vision : WS14: Challenges and opportunities in robot perception, Barcelona, Spain, 2011, 998-1005
   
4. Adapting visual category models to new domains
   Kate Saenko, Brian Kulis, Mario Fritz, and Trevor Darrell
   In: European Conference on Computer Vision (ECCV), Crete, Greece, 2010
   
3. Categorical Perception
   Mario Fritz, Andriluka Mykhaylo, Sanja Fidler, Michael Stark, Ales Leonardis, and Bernt Schiele
   In: Cognitive Systems, 2010, 131-164
   
2. Multi-Modal Learning
   Danijel Skocaj, Kristan Matej, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, and Jeremy L. Wyatt
   In: Cognitive Systems, 2010, 265-309
   
1. Tutor-based learning of visual categories using different levels of supervision
   Mario Fritz, Geert-Jan M. Kruijff, and Bernt Schiele
   Computer Vision and Image Understanding 114 (5): 564-573, 2010