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Mora L, Vilaplana V. Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. In MICCAI 2020 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2020.
Moravec K, Ruiz-Hidalgo J, Harvey R, Bangham J. Towards stereo from scale-trees. In 7th International Conference on Image Processing and its Applications. 1999. pp. 52–56.  (1.64 MB)
Moreno D, Costa-jussà MR, Giró-i-Nieto X. English to ASL Translator for Speech2Signs. 2018.  (1.54 MB)
Morros JR, Marqués F, Pardàs M, Salembier P. Video sequence segmentation based on rate-distortion theory. In SPIE Visual Communication and Image Processing, VCIP'96. Orlando, Florida, USA: Proc. SPIE 2727, 1185; 1996.  (355.43 KB)
Morros JR, Marqués F. A proposal for dependent optimization in scalabale region-based coding systems. In 1999 IEEE International Conference on Image Processing. 1999. pp. 295–299.  (417.77 KB)
Morros JR. Optimization of Segmentation Based Video Sequence Coding Techniques: Application to Content Based Functionalities. Marqués F. Universitat Politècnica de Catalunya (UPC); 2004.
Morros JR, Vilaplana V, Ruiz-Hidalgo J, Casas J, Gasull A, Marqués F, et al.. Materials transversals per a l'aprenentatge actiu de les matèries de processat d'imatge i vídeo. In Congrés Internacional de Docència Universitària i Innovació (CIDUI). Tarragona, Spain; 2014.  (853.76 KB)
Morros JR, Broquetas A, Mateo A, Puig J, Davins M. Real-time lane classification and accident detection for safer micromobility. In 11th Internationa Congress on Transportation Research. Heraklion, Crete; 2023.  (2.28 MB)
Morros JR, Salah AAli, Schouten B, Perales CSegura, Serrano JLuque, Ambekar O, et al.. Event recognition for meaningful Human-Computer interaction in smart environments. In Proceedings of the eNTERFACE’07 Workshop on Multimodal Interfaces. 2007.  (1009.14 KB)
Morros JR, Marqués F. Scalable segmentation-based coding of video sequences addressing content-based functionalities. In IEEE International Conference on Image Processing. Santa Barbara, USA: IEEE; 1997. pp. 1-4.  (536.33 KB)
Mosella-Montoro A, Ruiz-Hidalgo J. Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification. In IEEE Conference on Computer Vision Workshop (ICCVW). Seoul, Korea: IEEE; 2019.  (314.43 KB)
Mosella-Montoro A. Graph Convolutional Neural Networks for 3D Data Analysis. Ruiz-Hidalgo J. Signal Theory and Communications. [Barcelona]: Universitat Politècnica de Catalunya; 2023.
Mosella-Montoro A, Ruiz-Hidalgo J. SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters. In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). New Orleans, USA; 2022.  (5.45 MB)
Mosella-Montoro A, Ruiz-Hidalgo J. 2D–3D Geometric Fusion network using Multi-Neighbourhood Graph Convolution for RGB-D indoor scene classification. Information Fusion. 2021;76.  (771.86 KB)
Mostefa D, Moreau N, Choukri K, Potamianos G, Chu S, Tyagi A, et al.. The CHIL Audiovisual Corpus for Lecture and Meeting Analysis inside Smart Rooms. Language resources and evaluation. 2007;41(3):389–407.
Muñoz-Trallero P. Extensió d'una interfície de cerca d'imatges a les consultes amb regions. Giró-i-Nieto X, Vives X. 2010.
Muschik P. Learn2Sign : sign language recognition and translation using human keypoint estimation and transformer model. Duarte A, Giró-i-Nieto X. 2020.  (5.32 MB)
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Nadeu C, Oliveras A, Mariño J. Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
Navarro S, López-Méndez A, Alcoverro M, Casas J. Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In 7th International Conference AMDO 2012. Port d'Andratx, Mallorca: Springer; 2012.
Navarro S, López-Méndez A, Alcoverro M, Casas J. Multi-view Body Tracking with a Detector-Driven Hierarchical Particle Filter. In: Perales F, Fisher R, Moeslund T. Lecture Notes in Computer Science: Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer ; 2012. pp. 82-91.
Nespereira A. Siamese Convolutional Neural Network for Learning Object Similarities in RGB-D Images. Husain F, Adamek T, Giró-i-Nieto X. 2016.
Neumann J, Casas J, Macho D, Ruiz-Hidalgo J. Multimodal Integration of Sensor Network. In Artificial Intelligence Applications and Innovations. Boston: Springer; 2006. pp. 312–323.
Neumann J, Casas J, Macho D, Ruiz-Hidalgo J. Integration of audiovisual sensors and technologies in a smart room. Personal and ubiquitous computing. 2009;13:15–23.  (477.45 KB)
Neumann J, Casas J, Macho D, Ruiz-Hidalgo J. Multimodal Integration of Sensor Network. In Proceedings of 3rd IFIP Conference on Artificial Intelligence Applications & Innovations. Athens, Greece: Springer; 2006.  (401.58 KB)
Nguyen V-T, -Dinh-Le D, Salvador A, -Zhu C, Nguyen D-L, Tran M-T, et al.. NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015.  (1.53 MB)

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