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Results: 9
Number of items: 9
  • Open Access
    Shi, Z., Mettes, P., & Snoek, C. G. M. (2024). Focus for Free in Density-Based Counting. International Journal of Computer Vision, 132(7), 2600-2617. https://doi.org/10.1007/s11263-024-01990-3
  • Open Access
    Shi, Z., Mettes, P., Maji, S., & Snoek, C. G. M. (2022). On Measuring and Controlling the Spectral Bias of the Deep Image Prior. International Journal of Computer Vision, 130(4), 885–908. https://doi.org/10.1007/s11263-021-01572-7
  • Open Access
    Huang, J.-H., Wu, T.-W., Yang, C.-HH., Shi, Z., Lin, I.-H., Tegner, J., & Worring, M. (2022). Non-Local Attention Improves Description Generation for Retinal Images. In Proceedings, 2022 IEEE Winter Conference on Applications of Computer Vision: 4-8 January 2022, Waikoloa, Hawaii (pp. 3250-3259). (WACV; Vol. 2022). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/WACV51458.2022.00331
  • Open Access
    Shi, Z. (2022). Inductive biases for pixel representation learning. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Cao, X., Qiu, B., Li, X., Shi, Z., Xu, G., & Xu, J. (2019). Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data. IEEE Transactions on Neural Networks and Learning Systems, 30(6), 1867-1880. https://doi.org/10.1109/TNNLS.2018.2874458
  • Open Access
    Shi, Z., Mettes, P., & Snoek, C. G. M. (2019). Counting with Focus for Free. In Proceedings, 2019 International Conference on Computer Vision: 27 October-2 November 2019, Seoul, Korea (pp. 4199-4208). (ICCV). IEEE Computer Society. https://doi.org/10.1109/ICCV.2019.00430
  • Open Access
    Shi, Z., Zhang, L., Liu, Y., Cao, X., Ye, Y., Cheng, M.-M., & Zheng, G. (2018). Crowd Counting With Deep Negative Correlation Learning. In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition: proceedings : 18-22 June 2018, Salt Lake City, Utah (pp. 5382-5390). IEEE Computer Society. https://doi.org/10.1109/CVPR.2018.00564
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