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Results: 70
Number of items: 70
  • Open Access
    GhadimiAtigh, M., Schoep, J., Acar, E., van Noord, N., & Mettes, P. (2022). Hyperbolic Image Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 4443-4452). (CVPR). IEEE Computer Society. https://doi.org/10.1109/CVPR52688.2022.00441
  • Open Access
    Ülger, O., Wiederer, J., Ghafoorian, M., Belagiannis, V., & Mettes, P. (2022). Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. In The 33rd British Machine Vision Conference Proceedings: BMVC 2022 : 21st-24th November 2022, London, UK Article 968 BMVA Press. https://bmvc2022.mpi-inf.mpg.de/968/
  • Open Access
    Shi, Z. (2022). Inductive biases for pixel representation learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Byvshev, P., Mettes, P., & Xiao, Y. (2022). Are 3D convolutional networks inherently biased towards appearance? Computer Vision and Image Understanding, 220, Article 103437. https://doi.org/10.1016/j.cviu.2022.103437
  • Open Access
    Zhao, J. (2022). Learning continuity for image and video recognition. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ghadimi Atigh, M., Keller-Ressel, M., & Mettes, P. (2022). Hyperbolic Busemann Learning with Ideal Prototypes. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. S. Liang, & J. Wortman Vaughan (Eds.), 35th Conference on Neural Information Processing Systems (NeurIPS 2021) : online, 6-14 December 2021 (Vol. 1, pp. 103-115). (Advances in Neural Information Processing Systems; Vol. 34). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2021/hash/01259a0cb2431834302abe2df60a1327-Abstract.html
  • Open Access
    Chen, S., Mettes, P., & Snoek, C. G. M. (2021). Diagnosing Errors in Video Relation Detectors. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 241 BMVA Press.
  • Open Access
    Mettes, P., Thong, W., & Snoek, C. G. M. (2021). Object priors for classifying and localizing unseen actions. International Journal of Computer Vision, 129(6), 1954–1971. https://doi.org/10.1007/s11263-021-01454-y
  • Open Access
    Chen, S., Shi, Z., Mettes, P., & Snoek, C. G. M. (2021). Social fabric: Tubelet compositions for video relation detection. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 13465-13474). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.01323
  • Open Access
    Shi, Z., Chen, Y., Gavves, E., Mettes, P., & Snoek, C. G. M. (2021). Unsharp Mask Guided Filtering. IEEE Transactions on Image Processing, 30, 7472-7485. https://doi.org/10.1109/TIP.2021.3106812
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