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pro vyhledávání: '"de Campos, Teofilo Emidio"'
Humans can learn from very few samples, demonstrating an outstanding generalization ability that learning algorithms are still far from reaching. Currently, the most successful models demand enormous amounts of well-labeled data, which are expensive
Externí odkaz:
http://arxiv.org/abs/1912.08812
Semantic scene completion is the task of predicting a complete 3D representation of volumetric occupancy with corresponding semantic labels for a scene from a single point of view. Previous works on Semantic Scene Completion from RGB-D data used eith
Externí odkaz:
http://arxiv.org/abs/1908.02893
Human skin detection in images is a widely studied topic of Computer Vision for which it is commonly accepted that analysis of pixel color or local patches may suffice. This is because skin regions appear to be relatively uniform and many argue that
Externí odkaz:
http://arxiv.org/abs/1903.06969
Autor:
Cejnog, Luciano Walenty Xavier, Cesar Jr., Roberto Marcondes, de Campos, Teofilo Emidio, Elui, Valeria Meirelles Carril
We introduce a framework for dynamic evaluation of the fingers movements: flexion, extension, abduction and adduction. This framework estimates angle measurements from joints computed by a hand pose estimation algorithm using a depth sensor (Realsens
Externí odkaz:
http://arxiv.org/abs/1903.06949
Autor:
Braz, Fabricio Ataides, da Silva, Nilton Correia, de Campos, Teofilo Emidio, Chaves, Felipe Borges S., Ferreira, Marcelo H. S., Inazawa, Pedro Henrique, Coelho, Victor H. D., Sukiennik, Bernardo Pablo, de Almeida, Ana Paula Goncalves Soares, Vidal, Flavio Barros, Bezerra, Davi Alves, Gusmao, Davi B., Ziegler, Gabriel G., Fernandes, Ricardo V. C., Zumblick, Roberta, Peixoto, Fabiano Hartmann
The Brazilian court system is currently the most clogged up judiciary system in the world. Thousands of lawsuit cases reach the supreme court every day. These cases need to be analyzed in order to be associated to relevant tags and allocated to the r
Externí odkaz:
http://arxiv.org/abs/1811.11569
Semantic scene completion is the task of producing a complete 3D voxel representation of volumetric occupancy with semantic labels for a scene from a single-view observation. We built upon the recent work of Song et al. (CVPR 2017), who proposed SSCn
Externí odkaz:
http://arxiv.org/abs/1802.04735