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mw. dr. Z. (Zeynep) Akata

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute

Bezoekadres
  • Science Park 904
  • Kamernummer: C3.229
Postadres
  • Postbus 94323
    1090 GH Amsterdam
Contactgegevens
  • Publicaties

    2019

    • Xian, Y., Lampert, C. H., Schiele, B., & Akata, Z. (2019). Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(9), 2251-2265. https://doi.org/10.1109/TPAMI.2018.2857768 [details]

    2018

    • Hendricks, L. A., Hu, R., Darrell, T., & Akata, Z. (2018). Grounding Visual Explanations. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. 2, pp. 269-286). (Lecture Notes in Computer Science; Vol. 11206). Cham: Springer. https://doi.org/10.1007/978-3-030-01216-8_17 [details]
    • Kim, J., Rohrbach, A., Darrell, T., Canny, J., & Akata, Z. (2018). Textual Explanations for Self-Driving Vehicles. In V. Ferrari, M. Hebert, C. Sminchisescu, & Y. Weiss (Eds.), Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8-14, 2018: proceedings (Vol. 2, pp. 577-593). (Lecture Notes in Computer Science; Vol. 11206). Cham: Springer. https://doi.org/10.1007/978-3-030-01216-8_35 [details]
    • Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2018). Multimodal explanations: Justifying decisions and pointing to the evidence. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 8779-8788). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00915 [details]
    • Wang, S., Timmer, J. A., Scheider, S., Sporrel, K., Akata, Z., & Kröse, B. (2018). A Data-driven Study on Preferred Situations for Running. In UbiComp/ISWC '18 adjunct: proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and proceedings of the 2018 ACM International Symposium on Wearable Computers : October 8-12, 2018, Singapore, Singapore (pp. 283-286). New York, NY: The Association for Computing Machinery. https://doi.org/10.1145/3267305.3267552 [details]
    • Xian, Y., Lorenz, T., Schiele, B., & Akata, Z. (2018). Feature Generating Networks for Zero-Shot Learning. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 5542-5551). Los Alamitos, California: IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00581 [details]

    2017

    • Karessli, N., Akata, Z., Schiele, B., & Bulling, A. (2017). Gaze Embeddings for Zero-Shot Image Classification. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 6412-6421). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2017.679 [details]
    • Oh, S. J., Benenson, R., Khoreva, A., Akata, Z., Fritz, M., & Schiele, B. (2017). Exploiting saliency for object segmentation from image level labels. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (pp. 5038-5047). Piscataway, NJ: IEEE. https://doi.org/10.1109/CVPR.2017.535 [details]
    • Xian, Y., Schiele, B., & Akata, Z. (2017). Zero-Shot Learning - The Good, the Bad and the Ugly. In 30th IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2017 : 21-26 July 2016, Honolulu, Hawaii : proceedings (Vol. Piscataway, NJ, pp. 3077-3086). IEEE. https://doi.org/10.1109/CVPR.2017.328 [details]

    2019

    • Dutta, A., & Akata, Z. (2019). Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval. Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States.
    • Schoenfeld, E., Sinha, S., Ebrahimi, S., Darrell, T., & Akata, Z. (2019). Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States.
    • Xian, Y., Choudhury, S., He, Y., Schiele, B., & Akata, Z. (2019). SPNet: Semantic Projection Network for Zero-Label and Few-Label Semantic Segmentation. Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States.
    • Xian, Y., Sharma, S., Schiele, B., & Akata, Z. (2019). f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. Paper presented at IEEE Conference on Computer Vision and Pattern Recognition, Long Beach, United States.

    2017

    • Hendricks, L. A., Hu, R., Darrell, T., & Akata, Z. (2017). Grounding Visual Explanations (Extended Abstract). Poster session presented at Neural Information Processing Systems (NIPS), California, United States.
    • Kim, J., Rohrbach, A., Darrell, T., Canny, J., & Akata, Z. (2017). Show, Attend, Control, and Justify: Interpretable Learning for Self-Driving Cars. Poster session presented at Neural Information Processing Systems (NIPS), California, United States.
    • Park, D. H., Hendricks, L. A., Akata, Z., Rohrbach, A., Schiele, B., Darrell, T., & Rohrbach, M. (2017). Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). Poster session presented at Neural Information Processing Systems (NIPS), California, United States.

    Prijs

    • Akata, Z. (2014). Lise Meitner Award for Excellent Women in Computer Science.

    Spreker

    • Akata, Z. (speaker) (21-6-2017). Generative Adversarial Networks Architecture for Image Synthesis from Text, International Super Computing (ISC) Conference.

    Andere

    • Akata, Z. (consultant) (2017 - 2022). Senior Researcher, Max-Planck Institute for Informatics (consultancy).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
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