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NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (1.53 MB)
. PiCoEDL: Discovery and Learning of Minecraft Navigation Goals from Pixels and Coordinates. In CVPR 2021 Embodied AI Workshop. 2021. (847.54 KB)
. PixelEDL: Unsupervised Skill Discovery and Learning from Pixels. In CVPR 2021 Embodied AI Workshop. 2021. (1.55 MB)
. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24). (6.09 MB)
. Real-time detection of overloads on the plasma-facing components of Wendelstein 7-X. Applied sciences (Basel). 2021;11(24). (6.09 MB)
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Simbad:a tool for speech analysis and synthesis. In IASTED INT.CONF.SIGNAL PROC.&DIG.FILT. 1990.
. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). Cardiff, Wales / UK.: British Machine Vision Association; 2019. (1.79 MB)
. 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.
. 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.
. Towards A Format-agnostic Approach for Production, Delivery and Rendering of Immersive Media. In ACM Multimedia Systems. Oslo, Norway; 2013. (2.24 MB)
. Two level c.s.r. using demisyllable. In EUROPEAN CONF. ON SPEECH COMMUN. AND TECHN. EUROSPEECH'91. 1991. pp. 1199–1202.
. Unsupervised skill learning from pixels. . 2021. (19.61 MB)
. Unsupervised Skill-Discovery and Skill-Learning in Minecraft. In ICML 2021 Workshop on Unsupervised Reinforcement Learning (URL). 2021. (5.67 MB)
. UPC Audio, Video and Multimodal Person Tracking Systems in the CLEAR Evaluation Campaign. In Lecture notes in computer science. Berlin / Heidelberg: Springer; 2007. pp. 93–104.
. UPC Audio, Video and Multimodal Person Tracking Systems in the CLEAR Evaluation Campaign. In CLEAR'06 Evaluation Campaign and Workshop - Classification of Events, Activities and Relationships. 2006. pp. 93–104.
. Video Saliency Prediction with Deep Neural Networks. . 2019. (2.17 MB)
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