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Mario Fritz
Mario Fritz
Faculty CISPA Helmholtz Center for Information Security; Professor Saarland University
Verified email at cispa.de - Homepage
Title
Cited by
Cited by
Year
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
26082010
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 27, 2014
7462014
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
6982015
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
6862015
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
5862008
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
5462018
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: Research Topics and Applications …, 2013
5212013
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
4382018
On the significance of real-world conditions for material classification
E Hayman, B Caputo, M Fritz, JO Eklundh
Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004
4372004
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, LV Gool, M Allan, CM Bishop, ...
Machine Learning Challenges Workshop, 117-176, 2005
3412005
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
3352017
Knockoff nets: Stealing functionality of black-box models
T Orekondy, B Schiele, M Fritz
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3052019
Towards reverse-engineering black-box neural networks
SJ Oh, B Schiele, M Fritz
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 121-144, 2019
3022019
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
2962017
Advanced steel microstructural classification by deep learning methods
SM Azimi, D Britz, M Engstler, M Fritz, F Mücklich
Scientific reports 8 (1), 2128, 2018
2882018
Attributing fake images to gans: Learning and analyzing gan fingerprints
N Yu, LS Davis, M Fritz
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
278*2019
Vconv-dae: Deep volumetric shape learning without object labels
A Sharma, O Grau, M Fritz
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
2742016
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
2522012
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
2282017
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
203*2017
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