Search results
Results: 297
Number of items: 297
-
Thoker, F. M., Doughty, H., & Snoek, C. G. M. (2021). Skeleton-Contrastive 3D Action Representation Learning. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 1655-1663). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475307 -
Appelman, J., Bijleveld, K., Ejbye-Ernst, P., Hoeben, E., Liebst, L., Snoek, C., Koelma, D., & Rosenkrantz Lindegaard, M. (2021). Naleving van gedragsmaatregelen tijdens de COVID-19-pandemie. Justitiële Verkenningen, 47(3), 54-71. https://doi.org/10.5553/JV/016758502021047003004 -
Yang, P., Mettes, P., & Snoek, C. G. M. (2021). Few-Shot Transformation of Common Actions into Time and Space. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 16026-16035). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2104.02439, https://doi.org/10.1109/CVPR46437.2021.01577 -
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 -
Zhen, X., Du, Y., Xiong, H., Qiu, Q., Snoek, C., & Shao, L. (2021). Learning to Learn Variational Semantic Memory. In H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, & H. Lin (Eds.), 34th Concerence on Neural Information Processing Systems (NeurIPS 2020): online, 6-12 December 2020 (Vol. 11, pp. 9122-9134). (Advances in Neural Information Processing Systems; Vol. 33). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/2020/hash/67d16d00201083a2b118dd5128dd6f59-Abstract.html -
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 -
Wang, H., Yang, Y., Cao, X., Zhen, X., Snoek, C., & Shao, L. (2021). Variational prototype inference for few-shot semantic segmentation. In 2021 IEEE Winter Conference on Applications of Computer Vision: proceedings : 5-9 January 2021, virtual event (pp. 525-534). (WACV). IEEE Computer Society. https://doi.org/10.1109/WACV48630.2021.00057 -
Zhao, J., Han, J., Shao, L., & Snoek, C. G. M. (2020). Pixelated Semantic Colorization. International Journal of Computer Vision, 128(4), 818–834. https://doi.org/10.1007/s11263-019-01271-4
Page 9 of 30