Learning the latent representation of three-dimensional (3D) morphable geometry is useful for several tasks, such as 3D face tracking, human motion analysis, and character generation and animation. For unstructured surface meshes, previous state-of-the-art methods focus on designing convolution operators and share the same pooling and unpooling operations to encode neighborhood information. Previous models use a mesh pooling operation based on edge contraction, which is based on the euclidean distance of vertices rather than the actual topology. In this study, we investigated whether such a pooling operation can be improved, introducing an improved pooling layer that combines the vertex normals and adjacent faces area. Furthermore, to prevent template overfitting, we increased the receptive field and improved low-resolution projection in the unpooling stage. This increase did not affect processing efficiency because the operation was implemented once on the mesh. We performed experiments to evaluate the proposed method, whose results indicated that the proposed operations outperformed Neural3DMM with 14% lower reconstruction errors and outperformed CoMA by 15% by modifying the pooling and unpooling matrices.

This paper introduces a convolutional sentence kernel based on word embeddings.Our kernel overcomes the sparsity issue that arises when classifying short documents or in case of little training data.Experiments on six sentence datasets showed statistically significant higher accuracy over the standard linear kernel with ngram features and other proposed models.

This paper introduces the system development of the ubiquitous computing environment, called easy interaction room (EIR), in which humans can get intelligent robotic services with easy interaction. The room has been built to research the roles between the ubicomp environment and service robot in it. Also EIR system collaborates on a special home service with the monolithic robot platform. In this development, cutting-edge technologies are employed on the design and implementation of hardware infrastructure for the automated environment. Intelligent Robot Software Architecture, developed by CIR for reusable and extensible architecture, is used to build EIR's software architecture for rapid development. Preliminary correlations between EIR and a service robot have been designed and implemented on the architectures.