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Results: 9
Number of items: 9
  • Open Access
    Hu, T., Thong, W., Mettes, P., & Snoek, C. G. M. (2023). Query by Activity Video in the Wild. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2311.13895
  • Open Access
    Thong, W. (2022). Learning visual similarities robust to bias. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    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
  • Open Access
    Mettes, P., Thong, W., & Snoek, C. G. M. (2021). Object priors for classifying and localizing unseen actions. International Journal of Computer Vision, 129(6), 1954–1971. https://doi.org/10.1007/s11263-021-01454-y
  • Open Access
    Thong, W., & Snoek, C. G. M. (2021). Feature and Label Embedding Spaces Matter in Addressing Image Classifier Bias. In 32nd British Machine Vision Conference 2021: BMVC 2021, Online, November 22-25, 2021 Article 130 BMVA Press.
  • Open Access
    Thong, W., & Snoek, C. G. M. (2020). Bias-Awareness for Zero-Shot Learning the Seen and Unseen. In 31st British Machine Vision Conference 2020: BMVC 2020, Virtual Event, UK, September 7-10, 2020 Article 261 BMVA Press.
  • Open Access
    Thong, W., Mettes, P., & Snoek, C. G. M. (2020). Open Cross-Domain Visual Search. Computer Vision and Image Understanding, 200, Article 103045. https://doi.org/10.1016/j.cviu.2020.103045
  • Ibrahimi, S., Chen, S., Arya, D., Câmara, A., Chen, Y., Crijns, T., van der Goes, M., Mensink, T., van Miltenburg, E., Odijk, D., Thong, W., Zhao, J., & Mettes, P. (2019). Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. In MM'19: proceedings of the 27th ACM Conference on Multimedia : October 21-25, 2019, Nice, France (pp. 2196-2198). Association for Computing Machinery. https://doi.org/10.1145/3343031.3350597
  • Turkoglu, M. O., Thong, W., Spreeuwers, L., & Kicanaoglu, B. (2019). A Layer-Based Sequential Framework for Scene Generation with GANs. In Thirty-Third AAAI Conference on Artificial Intelligence, Thirty-First Conference on Innovative Applications of Artificial Intelligence, The Ninth Symposium on Educational Advances in Artificial Intelligence: AAAI-19, IAAI-19, EAAI-20 : January 27-February 1, 2019, Hilton Hawaiian Village, Honolulu, Hawaii, USA (pp. 8901-8908). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 33). AAAI Press. https://doi.org/10.1609/aaai.v33i01.33018901
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