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Results: 17
Number of items: 17
  • Open Access
    Alaniz, S., Federici, M., & Akata, Z. (2022). Compositional Mixture Representations for Vision and Text. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops: Proceedings : New Orleans, Louisiana, 19-24 June 2022 (pp. 4201-4210). (CVPRW). IEEE Computer Society. https://doi.org/10.48550/arXiv.2206.06404, https://doi.org/10.1109/CVPRW56347.2022.00465
  • Open Access
    Akata, Z., Balliet, D., de Rijke, M., Dignum, F., Dignum, V., Eiben, G., Fokkens, A., Grossi, D., Hindriks, K., Hoos, H., Hung, H., Jonker, C., Monz, C., Neerincx, M., Oliehoek, F., Prakken, H., Schlobach, S., van der Gaag, L., van Harmelen, F., ... Welling, M. (2020). A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer, 53(8), 18-28. https://doi.org/10.1109/MC.2020.2996587
  • 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
  • Weitkamp, L., van der Pol, E., & Akata, Z. (2019). Visual rationalizations in deep reinforcement learning for Atari games. In M. Atzmueller, & W. Duivesteijn (Eds.), Artificial Intelligence: 30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018 : revised selected papers (pp. 151-165). (Communications in Computer and Information Science; Vol. 1021). Springer. https://doi.org/10.1007/978-3-030-31978-6_12
  • Xian, Y., Sharma, S., Schiele, B., & Akata, Z. (2019). f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 10267-10276). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.01052
  • Dutta, A., & Akata, Z. (2019). Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 5084-5093). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00523
  • Xian, Y., Choudhury, S., He, Y., Schiele, B., & Akata, Z. (2019). Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 8248-8257). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00845
  • Schönfeld, E., Ebrahimi, S., Sinha, S., Darrell, T., & Akata, Z. (2019). Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 16-20 June 2019, Long Beach, California (pp. 8239-8247). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR.2019.00844
  • 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). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00915
  • 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). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00581
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