| Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010 | 1268 | 2010 |
| Discovery of activity patterns using topic models T Huynh, M Fritz, B Schiele Proceedings of the 10th international conference on Ubiquitous computing, 10-19, 2008 | 467 | 2008 |
| Ask your neurons: A neural-based approach to answering questions about images M Malinowski, M Rohrbach, M Fritz Proceedings of the IEEE international conference on computer vision, 1-9, 2015 | 444 | 2015 |
| A multi-world approach to question answering about real-world scenes based on uncertain input M Malinowski, M Fritz Advances in neural information processing systems, 1682-1690, 2014 | 407 | 2014 |
| A category-level 3d object dataset: Putting the kinect to work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer depth cameras for computer vision, 141-165, 2013 | 391 | 2013 |
| On the significance of real-world conditions for material classification E Hayman, B Caputo, M Fritz, JO Eklundh European conference on computer vision, 253-266, 2004 | 352 | 2004 |
| Appearance-based gaze estimation in the wild X Zhang, Y Sugano, M Fritz, A Bulling Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 322 | 2015 |
| The 2005 pascal visual object classes challenge M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ... Machine Learning Challenges Workshop, 117-176, 2005 | 279 | 2005 |
| Integrating representative and discriminant models for object category detection M Fritz, B Leibe, B Caputo, B Schiele Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005 | 162 | 2005 |
| A geometric approach to robotic laundry folding S Miller, J Van Den Berg, M Fritz, T Darrell, K Goldberg, P Abbeel The International Journal of Robotics Research 31 (2), 249-267, 2012 | 155 | 2012 |
| Disentangled person image generation L Ma, Q Sun, S Georgoulis, L Van Gool, B Schiele, M Fritz Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 151 | 2018 |
| The NBNN kernel T Tuytelaars, M Fritz, K Saenko, T Darrell 2011 International Conference on Computer Vision, 1824-1831, 2011 | 128 | 2011 |
| Vconv-dae: Deep volumetric shape learning without object labels A Sharma, O Grau, M Fritz European Conference on Computer Vision, 236-250, 2016 | 123 | 2016 |
| Decomposition, discovery and detection of visual categories using topic models M Fritz, B Schiele 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 123 | 2008 |
| Classifying materials in the real world B Caputo, E Hayman, M Fritz, JO Eklundh Image and Vision Computing 28 (1), 150-163, 2010 | 107 | 2010 |
| Multi-class video co-segmentation with a generative multi-video model WC Chiu, M Fritz Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 321-328, 2013 | 95 | 2013 |
| Sparselet models for efficient multiclass object detection HO Song, S Zickler, T Althoff, R Girshick, M Fritz, C Geyer, P Felzenszwalb, ... European conference on computer vision, 802-815, 2012 | 92 | 2012 |
| Parametrized shape models for clothing S Miller, M Fritz, T Darrell, P Abbeel 2011 IEEE International Conference on Robotics and Automation, 4861-4868, 2011 | 91 | 2011 |
| Speaking the same language: Matching machine to human captions by adversarial training R Shetty, M Rohrbach, L Anne Hendricks, M Fritz, B Schiele Proceedings of the IEEE International Conference on Computer Vision, 4135-4144, 2017 | 89 | 2017 |
| Exploiting saliency for object segmentation from image level labels SJ Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele 2017 IEEE conference on computer vision and pattern recognition (CVPR), 5038 …, 2017 | 87* | 2017 |
