Search results
Results: 130
Number of items: 130
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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 -
Gupta, D. K., Gavves, E., & Smeulders, A. W. M. (2021). Tackling Occlusion in Siamese Tracking with Structured Dropouts. In Proceedings of ICPR 2020: 25th International Conference on Pattern Recognition : Milan, 10-15 January 2021 (pp. 5804-5811). IEEE. https://doi.org/10.1109/ICPR48806.2021.9412120
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Gupta, D. K., Arya, D., & Gavves, E. (2021). Rotation Equivariant Siamese Networks for Tracking. In Proceedings, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition: virtual, 9-25 June 2021 (pp. 12357-12366). (CVPR). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.48550/arXiv.2012.13078, https://doi.org/10.1109/CVPR46437.2021.01218 -
Panteli, A., Teuwen, J., Horlings, H., & Gavves, E. (2021). Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 2793-2803). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00281 -
Zoetmulder, R., Konduri, P. R., Obdeijn, I. V., Gavves, E., Išgum, I., Majoie, C. B. L. M., Dippel, D. W. J., Roos, Y. B. W. E. M., Goyal, M., Mitchell, P. J., Campbell, B. C. V., Lopes, D. K., Reimann, G., Jovin, T. G., Saver, J. L., Muir, K. W., White, P., Bracard, S., Chen, B., ... Marquering, H. A. (2021). Automated final lesion segmentation in posterior circulation acute ischemic stroke using deep learning. Diagnostics, 11(9), Article 1621. https://doi.org/10.3390/diagnostics11091621 -
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 -
Pervez, A., & Gavves, E. (2021). Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. Proceedings of Machine Learning Research, 139, 8536-8545. https://proceedings.mlr.press/v139/pervez21a.html -
Chen, Y., Fernando, B., Bilen, H., Mensink, T., & Gavves, E. (2021). Neural Feature Matching in Implicit 3D Representations. Proceedings of Machine Learning Research, 139, 1582-1593. https://proceedings.mlr.press/v139/chen21f.html -
van de Leur, R. R., Blom, L. J., Gavves, E., Hof, I. E., van der Heijden, J. F., Clappers, N. C., Doevendans, P. A., Hassink, R. J., & van Es, R. (2020). Automatic Triage of 12‐Lead ECGs Using Deep Convolutional Neural Networks. Journal of the American Heart Association, 9(10). https://doi.org/10.1161/JAHA.119.015138
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