Search Publication

Export 516 results:
Author [ Title(Asc)] Type Year
Filters: First Letter Of Last Name is C  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
T
Ruiz-Sancho C. Tweet@TV: Televisió social en 140 caràcters. Giró-i-Nieto X, Cucurella E. 2010.  (6.63 MB)
Chang C, Pardàs M, Marqués F. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
Duarte A, Camli G, Torres J, Giró-i-Nieto X. Towards Speech to Sign Language Translation. In ECCV 2018 Workshop on Shortcomings in Vision and Language. 2018.  (142.48 KB)
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.
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.
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.
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.
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.
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.
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.
Gudmundsson S, Pardàs M, Casas J, Aanaes H, Larsen R. TOF Imaging in Smart Room Environments towards Improved People Tracking. In Computer Vision and Pattern Recognition: Workshop on Time of Flight based Computer Vision (CVPR/TOF-CV). 2008. pp. 1–6.
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.  (2.22 MB)
Lin X, Casas J, Pardàs M. Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes. IEEE Transactions on Image Processing. 2018;27(6):3087 - 3099.  (24.37 MB)
Linardos P, Mohedano E, Chertó M, Gurrin C, Giró-i-Nieto X. Temporal Saliency Adaptation in Egocentric Videos. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Computing. Munich, Germany: Extended abstract; 2018.  (279.32 KB)
S
Giró-i-Nieto X, Ventura C, Pont-Tuset J, Cortés S, Marqués F. System architecture of a web service for Content-Based Image Retrieval. In ACM International Conference On Image And Video Retrieval 2010. 2010. pp. 358–365.
Casals R. Synthesis of acne images for data augmentation with generative adversarial networks. Vilaplana V. 2019.
Salvador J. Surface Reconstruction for Multi-View Video. Casas J. Universitat Politècnica de Catalunya (UPC); 2011.  (4.74 MB)
Suau X, Casas J, Ruiz-Hidalgo J. Surface reconstruction by restricted and oriented propagation. In 2010 IEEE International Conference on Image Processing. 2010. pp. 813–816.  (3.22 MB)
Casamitjana A. Study of early stages of Alzheimer’s disease using magnetic resonance imaging. Vilaplana V. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2019.
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
Casas J, Torres L. Strong edge features for image coding. In: Schafer RW, Maragos P, Butt MA. Mathematical Morphology and its Applications to Image and Signal Processing. Boston: Springer; 1996. pp. 443–450.
Casas J, Torres L. Strong edge features for image coding. In International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing III. 1996. pp. 443–450.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.
Puig-Sitjes A, Jakubowski M, Fellinger J, Drewelow P, Gao Y, Niemann H, et al.. Strategy for the real-time detection of thermal events on the plasma facing components of Wendelstein 7-X. In 31st Symposium on Fusion Technology (SOFT2020). Dubrovnik, Croatia; 2020.

Pages