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Nieto JJosé, Creus R, Giró-i-Nieto X. PiCoEDL: Discovery and Learning of Minecraft Navigation Goals from Pixels and Coordinates. In CVPR 2021 Embodied AI Workshop. 2021.  (847.54 KB)
Nieto JJosé. Video Saliency Prediction with Deep Neural Networks. Mohedano E, McGuinness K, Giró-i-Nieto X. 2019.  (2.17 MB)
Nieto JJosé. Discovery and Learning of Navigation Goals from Pixels in Minecraft. Campos V, Giró-i-Nieto X. 2021.  (16.15 MB)
Nieto JJosé, Creus R, Giró-i-Nieto X. Unsupervised Skill-Discovery and Skill-Learning in Minecraft. In ICML 2021 Workshop on Unsupervised Reinforcement Learning (URL). 2021.  (5.67 MB)
Nickel K, Pardàs M, Stiefelhagen R, Canton-Ferrer C, Landabaso J-L, Casas JR. Activity Classification. In Computers in the Human Interaction Loop. London: Springer; 2009. pp. 107–119.
Niamut O, Kochale A, Ruiz-Hidalgo J, Macq J, Kienast G. Advanced visual rendering, gesture-based interaction and distributed delivery for immersive and interactive media services. In International Broadcasting Convention 2011. 2011. pp. 1–8.  (7.56 MB)
Niamut O, Kaiser R, Kienast G, Kochale A, Spille J, Schreer O, et al.. Towards A Format-agnostic Approach for Production, Delivery and Rendering of Immersive Media. In ACM Multimedia Systems. Oslo, Norway; 2013.  (2.24 MB)
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)
Neumann J, Casas JR, 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 JR, 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 JR, 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)
Nespereira A. Siamese Convolutional Neural Network for Learning Object Similarities in RGB-D Images. Husain F, Adamek T, Giró-i-Nieto X. 2016.
Navarro S, López-Méndez A, Alcoverro M, Casas JR. 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 JR. 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.
Nadeu C, Oliveras A, Mariño J. Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
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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)
Muñoz-Trallero P. Extensió d'una interfície de cerca d'imatges a les consultes amb regions. Giró-i-Nieto X, Vives X. 2010.
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.
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)
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.

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