Learning Spectral Dictionary for Local Representation of Mesh

For meshes, sharing the topology of a template is a common and practical setting in face-, hand-, and body-related applications. Meshes are irregular since each vertex's neighbors are unordered and their orientations are inconsistent with other vertices. Previous methods use isotropic filters or predefined local coordinate systems or learning weighting matrices for each vertex of the template to overcome the irregularity. Learning weighting matrices for each vertex to soft-permute the vertex's neighbors into an implicit canonical order is an effective way to capture the local structure of each vertex. However, learning weighting matrices for each vertex increases the parameter size linearly with the number of vertices and large amounts of parameters are required for high-resolution 3D shapes. In this paper, we learn spectral dictionary (i.e., bases) for the weighting matrices such that the parameter size is independent of the resolution of 3D shapes. The coefficients of the weighting matrix bases for each vertex are learned from the spectral features of the template's vertex and its neighbors in a weight-sharing manner. Comprehensive experiments demonstrate that our model produces state-of-the-art results with a much smaller model size.

Research Equity in Otolaryngology–Head and Neck Surgery

Equitable research collaborations benefit the quality and relevance of global otolaryngology–head and neck surgery research. However, analyses of existing global health literature have shown disproportionate representation by foreign authors. To avert this inequity and improve global otolaryngology–head and neck surgery research, we propose a framework that emphasizes local representation and capacity building in research.

‘Scottish people can't rap’: the local and global in Scottish hip-hop

Hip-hop is a global culture, where local representation is a core tenet of its ideology. It therefore provides opportunities to observe how a global cultural structure is interpreted, realigned and expressed in local cultural forms. This article combines autoethnography and rap lyric analysis to consider the complex relationship between the local and global in relation to cultural articulation and authenticity. Through a study of the poetics of Scottish hip-hop, a series of patterns and connections appear relating to interpretation, negotiation and hybridisation of local and global culture, presenting a demonstration of how the local, global and individual intersect to ‘devise unique ways of communicating thoughts, emotions and everyday realities’ (Alim 2003, Journal of English Linguistics, March, 31/1, pp. 60–84, p. 62). Furthermore, this article presents a framework for autoethnographic study of hip-hop, signposting bridging points between scholarship and practice.