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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)
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)
Caselles P. Disentangling neural network structure from the weights space. Schürholt K, Borth D, Giró-i-Nieto X. 2021.  (17.1 MB)
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)
Cuadras C, Valero S, Cuadras D, Salembier P, Chanussot J. Distance-based measures of association with applications in relating hyperspectral images. Communications in Statistics - Theory and Method. 2012;41:2342–2355.  (296.22 KB)
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)
Campos V, Salvador A, Giró-i-Nieto X, Jou B. Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015.  (506.22 KB)
Correa P. Dual morphology-based and Bayesian approach for markerless human motion capture in natural interaction environments. Marqués F, Macq B. Université Catholique de Louvain (UCL); 2006.
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
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Turkan M, Pardàs M, Cetin E. Edge Projections for Eye Localization. Optical engineering. 2008;47:1–6.
Giró-i-Nieto X, Marqués F, Casas J. The edition of the Wikipedia as an academic activity. In 4rt. Congrés Internacional de Docència Unversitària i Innovació. Barcelona, Catalonia; 2006. p. –.
Casas J, Torres L, Jareño M. Efficient coding of residual images. In SPIE Visual Communications '93. Cambridge, MA: SPIE; 1993. pp. 694–705.
Torres L, Casas J, Campins J. An efficient technique of texture representation in segmentation-based image coding schemes. In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. 1995. pp. 588–591.
Torres L, Casas J, Campins J. An efficient technique of texture representation in segmentation-based image coding schemes. In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. 1995. pp. 588–591.
Carné-Herrera M, Giró-i-Nieto X, Gurrin C. EgoMemNet: Visual Memorability Adaptation to Egocentric Images. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 .  (265.4 KB)
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Moreno D, Costa-jussà MR, Giró-i-Nieto X. English to ASL Translator for Speech2Signs. 2018.  (1.54 MB)
Fernàndez D, Rimmek JMarco, Espadaler J, Garolera B, Barja A, Codina M, et al.. Enhancing Online Knowledge Graph Population with Semantic Knowledge. In 19th International Semantic Web Conference (ISWC). Virtual; 2020.
Pedersen TS, et al, Casas J, Salembier P. Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion. 2022;62(4).
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 2008. pp. 82–91.
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer; 2008. pp. 82–91.
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 2008. pp. 82–91.
Canton-Ferrer C, Casas J, Pardàs M. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer; 2008. pp. 82–91.
Campos V, Trott A, Xiong C, Socher R, Giró-i-Nieto X, Torres J. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. In International Conference on Machine Learning (ICML) 2020. 2020.  (6.89 MB)

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