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Number of items: 5.

Schroeter, Julien 2021. Poisson-Binomial counting for learning prediction sparsity. PhD Thesis, Cardiff University.
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Schroeter, Julien, Sidorov, Kirill and Marshall, Andrew 2020. Learning multi-instance sub-pixel point localization. Presented at: 15th Asian Conference on Computer Vision (ACCV 2020), Virtual (Kyoto), 30 November - 4 December 2020.
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Schroeter, Julien, Sidorov, Kirill and Marshall, Andrew 2020. Robust temporal point event localization through smoothing and counting. Presented at: ICML Workshop on Uncertainty & Robustness in Deep Learning (UDL) 2020, Online, July 17, 2020.
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Pezzica, Camilla, Schroeter, Julien, Prizeman, Oriel, Jones, Christopher and Rosin, Paul 2019. Between images and built form: automating the recognition of standardised building components using deep learning. Presented at: 27th CIPA International Symposium “Documenting the past for a better future”, Avila, Spain, 1-5 September 2019. ISPRS Ann. Photogramm. Remote Sens. Copernicus, pp. 123-132. 10.5194/isprs-annals-IV-2-W6-123-2019
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Schroeter, Julien, Sidorov, Kirill and Marshall, David 2019. Weakly-supervised temporal localization via occurrence count learning. Presented at: 36th International Conference on Machine Learning, Long Beach, CA, USA, 9-15 June 2019. Published in: Chaudhuri, Kamalika and Salakhutdinov, Ruslan eds. Proceedings of Machine Learning Research. Volume 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA. pp. 5649-5659.
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