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Canton-Ferrer C, Casas J, Pardàs M. Towards a Bayesian Approach to Robust Finding Correspondances in Multiple View Geometry Environments. In Computational Science – ICCS 2005. Berlin / Heidelberg: Springer; 2005. pp. 281–289.

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Tarrés L, Gállego GI, Giró-i-Nieto X, Torres J. Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22. In EMNLP 2022 Seventh Conference on Machine Translation (WMT22). 2022.

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Montes A, Salvador A, Pascual-deLaPuente S, Giró-i-Nieto X. Temporal Activity Detection in Untrimmed Videos with Recurrent Neural Networks. In 1st NIPS Workshop on Large Scale Computer Vision Systems 2016. 2016.

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Duarte A, Surís D, Salvador A, Torres J, Giró-i-Nieto X. Temporal-aware Cross-modal Embeddings for Video and Audio Retrieval. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.

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Lin X, Casas J, Pardàs M. Time consistent estimation of End-effectors from RGB-D data. In Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers. Cham: Springer International Publishing; 2015. pp. 529-543.

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Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Towards a bayesian approach to robust finding correspondances in multiple view geometry environments. In Workshop on Computer Graphics and Geometric Modelling. Intrernational Conference on Computational Science. 2005. pp. 281–289.

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Niamut O, Kaiser R, Kienast G, Kochale A, Spille J, Schreer O, et al.. Towards A Format-agnostic Approach for Production, Delivery and Rendering of Immersive Media. In ACM Multimedia Systems. Oslo, Norway; 2013.

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Canton-Ferrer C, Casas J, Pardàs M. Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.

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Oriol B, Luque J, Diego F, Giró-i-Nieto X. Transcription-Enriched Joint Embeddings or Spoken Descriptions of Images and Videos. In CVPR 2020 Workshop on Egocentric Perception, Interaction and Computing. Seattle, WA, USA: arXiv; 2020.

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