Mario Fritz
Mario Fritz
Faculty CISPA Helmholtz Center for Information Security; Professor, Saarland University
Bestätigte E-Mail-Adresse bei cispa.saarland - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
European conference on computer vision, 213-226, 2010
14302010
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
4982008
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
4762015
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
4582014
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
4092013
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
3802005
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
3672015
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
3572004
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
1942018
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
1642012
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
1642005
Vconv-dae: Deep volumetric shape learning without object labels
A Sharma, O Grau, M Fritz
European Conference on Computer Vision, 236-250, 2016
1432016
The NBNN kernel
T Tuytelaars, M Fritz, K Saenko, T Darrell
2011 International Conference on Computer Vision, 1824-1831, 2011
1312011
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
1222008
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
1152017
Mpiigaze: Real-world dataset and deep appearance-based gaze estimation
X Zhang, Y Sugano, M Fritz, A Bulling
IEEE transactions on pattern analysis and machine intelligence 41 (1), 162-175, 2017
1092017
Classifying materials in the real world
B Caputo, E Hayman, M Fritz, JO Eklundh
Image and Vision Computing 28 (1), 150-163, 2010
1092010
It's written all over your face: Full-face appearance-based gaze estimation
X Zhang, Y Sugano, M Fritz, A Bulling
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
1062017
Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models
A Salem, Y Zhang, M Humbert, P Berrang, M Fritz, M Backes
arXiv preprint arXiv:1806.01246, 2018
992018
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
99*2017
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