1,074 research outputs found
Understanding Chinese International Undergraduate Students’ Experiences at the University of Missouri - St. Louis
This study examines the challenges and stressors Chinese international undergraduate students face while attending the University of Missouri - St. Louis (UMSL) in relation to their study abroad experience. Surveys were initially used to gather information and to gauge students’ familiarity and use of university support services available to help with specific challenges and stressors. Follow-up interviews were conducted to collect additional in-depth data. As consistent with the literature review, the study found that UMSL students confronted language barriers, academic challenges, and cultural differences when transitioning to UMSL’s academic culture and social environment. Additionally, financial stresses were exacerbated by issues related to filial piety and U.S. policy requirements for international students. This dissertation offers background information on the contexts of UMSL’s Chinese international undergraduates, in order to help the host institution better recruit and retain its Chinese international student population
3D Face Synthesis Driven by Personality Impression
Synthesizing 3D faces that give certain personality impressions is commonly
needed in computer games, animations, and virtual world applications for
producing realistic virtual characters. In this paper, we propose a novel
approach to synthesize 3D faces based on personality impression for creating
virtual characters. Our approach consists of two major steps. In the first
step, we train classifiers using deep convolutional neural networks on a
dataset of images with personality impression annotations, which are capable of
predicting the personality impression of a face. In the second step, given a 3D
face and a desired personality impression type as user inputs, our approach
optimizes the facial details against the trained classifiers, so as to
synthesize a face which gives the desired personality impression. We
demonstrate our approach for synthesizing 3D faces giving desired personality
impressions on a variety of 3D face models. Perceptual studies show that the
perceived personality impressions of the synthesized faces agree with the
target personality impressions specified for synthesizing the faces. Please
refer to the supplementary materials for all results.Comment: 8pages;6 figure
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