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Results: 42
Number of items: 42
  • Open Access
    Qin, Z., Lu, X., Nie, X., Zhen, X., & Yin, Y. (2021). Learning Hierarchical Embedding for Video Instance Segmentation. In MM '21: Proceedings of the 29th ACM International Conference on Multimedia : October 20-24, 2021, Virtual Event, China (pp. 1884-1892). Association for Computing Machinery. https://doi.org/10.1145/3474085.3475342
  • Open Access
    Chen, H., Wang, J., Chen, H. C., Zhen, X., Zheng, F., Ji, R., & Shao, L. (2021). Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. In 2021 IEEE/CVF International Conference on Computer Vision: proceedings : ICCV 2021 : 11-17 October 2021, virtual event (pp. 6900-6909). (International Conference on Computer Vision; Vol. 18). IEEE Computer Society. https://doi.org/10.1109/ICCV48922.2021.00684
  • Open Access
    Derakhshani, M. M., Zhen, X., Shao, L., & Snoek, C. G. M. (2021). Kernel Continual Learning. Proceedings of Machine Learning Research, 139, 2621-2631. https://proceedings.mlr.press/v139/derakhshani21a.html
  • Open Access
    Wang, J., Tan, S., Zhen, X., Xu, S., Zheng, F., He, Z., & Shao, L. (2021). Deep 3D human pose estimation: A review. Computer Vision and Image Understanding, 210, Article 103225. https://doi.org/10.1016/j.cviu.2021.103225
  • Open Access
    Du, Y., Holla, N., Zhen, X., Snoek, C. G. M., & Shutova, E. (2021). Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 5254-5268). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.409
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Qi, M., Qin, J., Zhen, X., Huang, D., Yang, Y., & Luo, J. (2020). Few-Shot Ensemble Learning for Video Classification with SlowFast Memory Networks. In MM '20: proceedings of the 28th ACM International Conference on Multimedia : October 12-16, 2020, Virtual Event, USA (pp. 3007-3015). Association for Computing Machinery. https://doi.org/10.1145/3394171.3416269
  • Wang, H., Zhang, X., Hu, Y., Hu, Y., Yang, Y., Cao, X., & Zhen, X. (2020). Few-Shot Semantic Segmentation with Democratic Attention Networks. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020 : proceedings (Vol. XIII, pp. 730-746). (Lecture Notes in Computer Science; Vol. 12358). Springer. https://doi.org/10.1007/978-3-030-58601-0_43
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