Search results
Results: 297
Number of items: 297
-
Derakhshani, M. M., Najdenkoska, I., van Sonsbeek, T., Zhen, X., Mahapatra, D., Worring, M., & Snoek, C. G. M. (2022). LifeLonger: A Benchmark for Continual Disease Classification. In L. Wang, Q. Dou, P. T. Fletcher, S. Speidel, & S. Li (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022 : proceedings (Vol. II, pp. 314–324). (Lecture Notes in Computer Science; Vol. 13432). Springer. https://doi.org/10.48550/arXiv.2204.05737, https://doi.org/10.1007/978-3-031-16434-7_31 -
Thong, W., & Snoek, C. G. M. (2022). Diversely-Supervised Visual Product Search. ACM Transactions on Multimedia Computing Communications and Applications, 18(1), Article 13. https://doi.org/10.1145/3461646 -
Zhao, J., Zhang, Y., Li, X., Chen, H., Shuai, B., Xu, M., Liu, C., Kundu, K., Xiong, Y., Modolo, D., Marsic, I., Snoek, C. G. M., & Tighe, J. (2022). TubeR: Tubelet Transformer for Video Action Detection. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition: New Orleans, Louisiana, 19-24 June 2022 : proceedings (pp. 13588-13597). (CVPR). IEEE Computer Society. https://doi.org/10.48550/arXiv.2104.00969, https://doi.org/10.1109/CVPR52688.2022.01323 -
Zhang, Y., Doughty, H. R., & Snoek, C. G. M. (2022, March 19). ActorShift.zip [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.19387046.v1
-
Zhang, D. W., Burghouts, G. J., & Snoek, C. G. M. (2022). Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets. Proceedings of Machine Learning Research, 198, Article 53. https://doi.org/10.48550/arXiv.2106.13919 -
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 -
Liao, S., Gavves, E., Oh, C., & Snoek, C. G. M. (2021). Quasibinary Classifier for Images with Zero and Multiple Labels. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 8743-8750). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412933 -
Xiao, Z., Shen, J., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). A Bit More Bayesian: Domain-Invariant Learning with Uncertainty. Proceedings of Machine Learning Research, 139, 11351-11361. https://proceedings.mlr.press/v139/xiao21a.html
Page 7 of 30