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This paper presents a method for face detection in the wild, which integrates a ConvNet and a 3D mean face model in an end-to-end multi-task discriminative learning framework. The 3D mean face model is predefined and fixed (e.g., we used the one provided in the AFLW dataset [20]). The ConvNet consists of two components: (i) The face proposal component(More)
Atopic dermatitis (AD) is a chronic inflammatory pruritic skin disease in which the pathogenic mechanism is complicated and not completely understood. Reports on the role of regulated cells in AD have recently evolved to regulate B cells, which may play a role in allergic inflammation as well. In the present study, we examined the frequency and regulatory(More)
Transplantation with neural stem cells (NSCs) is a promising clinical therapy for Alzheimer’s disease (AD). However, the final fate of grafted NSCs is mainly determined by the host microenvironment. Therefore, this study investigated the role of Sanjiao acupuncture in the NSCs-treated hippocampus of a mouse model, senescence-accelerated mouse prone 8(More)
The goal of imitation learning is to match example expert behavior, without access to a reinforcement signal. Expert demonstrations provided by humans, however, often show significant variability due to latent factors that are not explicitly modeled. We introduce an extension to the Generative Adversarial Imitation Learning method that can infer the latent(More)
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