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E
Marqués F, Jofre L, Sole F, Sabate F, Berenguer J, Romeu J, et al.. El concepto NetCampus. In 3es Jornadas de la Cátedra Telefónica-UPC. 2005. pp. 15–20.
D
Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017.  (576.67 KB)
Lin X, Campos V, Giró-i-Nieto X, Torres J, Canton-Ferrer C. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.  (370.64 KB)
Bellver M. Detection-aided medical image segmentation using deep learning. Maninis K-K, Pont-Tuset J, van Gool L, Giró-i-Nieto X, Torres J. 2017.  (7.07 MB)
Bellver M, Maninis K-K, Pont-Tuset J, Torres J, Giró-i-Nieto X, van Gool L. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.  (1 MB)
Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.  (8.55 MB)
Duarte A. Data and methods for a visual understanding of sign languages. Torres J, Giró-i-Nieto X. Signal Theory and Communications. 2022.
C
Duarte A. Cross-modal Neural Sign Language Translation. In: Torres J, Giró-i-Nieto X. Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium. Nice, France: ACM; 2019.  (392.69 KB)
Surís D, Duarte A, Salvador A, Torres J, Giró-i-Nieto X. Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018.  (1.07 MB)
Anton M, Vall-Llosera M, Torres J, Romeu J, Jofre L, Sole F, et al.. Collaborative Network Space: Infrastructure and Learning Application. In IEEE Region 8 EUROCON 2005 Conference: Computer as a tool. 2005. pp. 803–806.
B
Bellver M, Salvador A, Torres J, Giró-i-Nieto X. Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019.  (6.59 MB)

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