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Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2010. pp. 88–97.
Alcoverro M, Casas J, Pardàs M. Skeleton and shape adjustment and tracking in multicamera environments. In 6th International Conference AMDO 2010. 2010. pp. 88–97.
Torres L, Lleida E, Casas J. Sistemas Analógicos y Digitales de Televisión. Barcelona: Edicions UPC; 1993.
Gil-Moreno A. Sistema de gestió de vídeo off-line per una smart-room. Casas J. 2007.  (4.54 MB)
Correa P, Czyz J, Umeda T, Marqués F, Marichal X, Macq B. Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications. In IEEE International Conference on Image Processing. 2005. pp. 836–839.
Correa P, Czyz J, Umeda T, Marqués F, Marichal X, Macq B. Silhouette-based Probabilistic 2D Human Motion Estimation for Real-Time Applications. In IEEE International Conference on Image Processing. 2005. pp. 836–839.
Cabot P. Sign Language Translation based on Transformers for the How2Sign Dataset. Tarrés L, Giró-i-Nieto X. 2022 .  (1.56 MB)
Casamitjana A, Petrone P, Molinuevo JL, Gispert JD, Vilaplana V. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease: a predictive study. IEEE Journal of Biomedical and Health Informatics. 2019;.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
Casamitjana A, Vilaplana V, Petrone P, Molinuevo JLuis, Gispert JD. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
Salvador J, Casas J. Shape from Probability Maps with Image-Adapted Voxelization. In ECCV Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (M2SFA2). 2008. pp. 1–12.
Landabaso J-L, Pardàs M, Casas J. Shape from inconsistent silhouette. Computer vision and image understanding. 2008;112(2):210–224.
Hernandez C, Vilaplana V, Combalia M, García S, Podlipnik S, Burgos J, et al.. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In European Association of Dermato Oncology (EADO 2022). In Press.
Hernandez C, Combalia M, Malvehy J, Vilaplana V. Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours. In Medical Imaging with Deep Learning MIDL 2022. In Press.
Campos V, Giró-i-Nieto X, Jou B, Torres J, Chang S-F. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
Campos V, Giró-i-Nieto X, Jou B, Torres J, Chang S-F. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
Lin X. Semantic and Generic Object Segmentation for Scene Analysis Using RGB-D Data. Casas J, Pardàs M. Signal Theory and Communications (TSC). [download link]: Universitat Politècnica de Catalunya (UPC); 2018.
García-Gómez P, Riu J, Casas J, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
Salembier P, Marqués F, Corset I, Bouchard L, Jeannin S, Pardàs M, et al.. Segmented Picture Coding Method and System and Corresponding Decoding Method and System. 1996.  (2.27 MB)
Salembier P, Marqués F, Pardàs M, Morros JR, Corset I, Jeannin S, et al.. Segmentation-based video coding system allowing the manipulation of objects. IEEE transactions on circuits and systems for video technology. 1997;7:60–74.  (1.44 MB)
Bazazian D, Casas J, Ruiz-Hidalgo J. Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.  (4.3 MB)
Marqués F, Salembier P, Pardàs M, Morros JR, Corset I, Jeannin S, et al.. A segmentation-based coding system allowing manipulation of objects. In IEEE International Conference on Image Processing, ICIP 1996. Lausanne, Switzerland; 1996. pp. 145–175.  (245.6 KB)
Bangham J, Ruiz-Hidalgo J, Harvey R, Cawley G. The segmentation of images via scale-space trees. In British Machine Vision Conference. Southampton, UK; 1998. pp. 33–43.  (1.18 MB)
Tochon G, Feret JB, Valero S, Martin RE, Tupayachi R, Chanussot J, et al.. Segmentation hyperspectrales de forets tropicales par arbres de partition binaires. Revue française de photogrammétrie et de télédétection. 2013;202(1):55-65.  (2.51 MB)
Torres L, Casas J, Diego D. Segmentation based coding of textures using stochastic vector quantization. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 553–556.

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