Queer(ing) Taiwan and its future: from an agenda of mainstream self-enlightenment to one of sexual citizenship

As parts of an ongoing reflection on the tongzhi (roughly equivalent to lesbian/gay/queer, hereafter abbreviated as l/g/q) developments in Taiwan, three critical theses are put forward in this essay. The first is a historical understanding of the excitingly prosperous l/g/q emergence in the 1990s. I offer here a contextual analysis which views this phenomenal rise as the amplified effects of what I call a ‘self-enlightening’ process pursued by the mainstream society since the democratization process started in the late 1980s. Yet as fortunate as it seems, this coincidence also dictated the specific form the l/g/q movement has taken as well as caused its apparent ‘cool-off’ near the year 2000. The second is the follow-up critical observation, along the line already mapped out, on the latest change of direction – i.e. what I call the ‘civic turn’ of the l/g/q movement since 2000. This in effect further proves my thesis put forth in the first section and also points at a general perspective on the relative strength (or lack of it) of the Taiwan society versus political power. At the end, O distinguish the l/g/q civil movement in Taiwan from its US counterpart by showing the local transformations of this largely imported discourse with the purpose of providing a glocal comparative framework. To further demonstrate the glocal difference, I also anticipate the historical significance of this new phase of development itself as well as for Taiwan in general

Queer Call for the Glocal Comparative

A review of Chris Berry, Fran Martin and Audrey Yue's Mobile Cultures: New Media in Queer Asia (Duke University Press, Durham, 2003)

Multi-Context Attention for Human Pose Estimation

In this paper, we propose to incorporate convolutional neural networks with a multi-context attention mechanism into an end-to-end framework for human pose estimation. We adopt stacked hourglass networks to generate attention maps from features at multiple resolutions with various semantics. The Conditional Random Field (CRF) is utilized to model the correlations among neighboring regions in the attention map. We further combine the holistic attention model, which focuses on the global consistency of the full human body, and the body part attention model, which focuses on the detailed description for different body parts. Hence our model has the ability to focus on different granularity from local salient regions to global semantic-consistent spaces. Additionally, we design novel Hourglass Residual Units (HRUs) to increase the receptive field of the network. These units are extensions of residual units with a side branch incorporating filters with larger receptive fields, hence features with various scales are learned and combined within the HRUs. The effectiveness of the proposed multi-context attention mechanism and the hourglass residual units is evaluated on two widely used human pose estimation benchmarks. Our approach outperforms all existing methods on both benchmarks over all the body parts.Comment: The first two authors contribute equally to this wor