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Zeynep Akata
Zeynep Akata
Professor of Computer Science, University of Tübingen
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
Generative adversarial text to image synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
ICML, 2016
25642016
Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly
Y Xian, CH Lampert, B Schiele, Z Akata
IEEE TPAMI, 2019
9322019
Evaluation of Output Embeddings for Fine-Grained Image Classification
Z Akata, S Reed, D Walter, H Lee, B Schiele
IEEE CVPR, 2015
9032015
Learning deep representations of fine-grained visual descriptions
S Reed, Z Akata, H Lee, B Schiele
IEEE CVPR, 2016
7112016
Label-embedding for attribute-based classification
Z Akata, F Perronnin, Z Harchaoui, C Schmid
IEEE CVPR, 2013
6382013
Latent embeddings for zero-shot classification
Y Xian, Z Akata, G Sharma, Q Nguyen, M Hein, B Schiele
IEEE CVPR, 2016
6302016
Feature Generating Networks for Zero-Shot Learning
Y Xian, T Lorenz, B Schiele, Z Akata
IEEE CVPR, 2018
6252018
Label-embedding for image classification
Z Akata, F Perronnin, Z Harchaoui, C Schmid
IEEE TPAMI 38 (7), 1425-1438, 2016
6222016
Learning what and where to draw
SE Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee
NIPS, 2016
5762016
Zero-Shot Learning-The Good, the Bad and the Ugly
Y Xian, B Schiele, Z Akata
IEEE CVPR, 2017
5452017
Generating visual explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
ECCV, 2016
5292016
Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders
E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata
IEEE CVPR, 2019
3642019
Multimodal explanations: Justifying decisions and pointing to the evidence
DH Park, LA Hendricks, Z Akata, B Schiele, T Darrell, M Rohrbach
IEEE CVPR, 2018
347*2018
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
Y Xian, S Sharma, B Schiele, Z Akata
IEEE CVPR, 2019
2612019
Explainable ai: the new 42?
R Goebel, A Chander, K Holzinger, F Lecue, Z Akata, S Stumpf, ...
International cross-domain conference for machine learning and knowledge …, 2018
2312018
Learning to generate images of outdoor scenes from attributes and semantic layouts
L Karacan, Z Akata, A Erdem, E Erdem
arXiv preprint arXiv:1612.00215, 2016
1942016
Good practice in large-scale learning for image classification
Z Akata, F Perronnin, Z Harchaoui, C Schmid
IEEE TPAMI 36 (3), 507-520, 2014
1832014
Exploiting saliency for object segmentation from image level labels
S Joon Oh, R Benenson, A Khoreva, Z Akata, M Fritz, B Schiele
IEEE CVPR, 2017
175*2017
Grounding Visual Explanations
LA Hendricks, R Hu, T Darrell, Z Akata
ECCV, 2018
1472018
Textual Explanations for Self-Driving Vehicles
J Kim, A Rohrbach, T Darrell, J Canny, Z Akata
ECCV, 2018
1462018
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