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We propose a viewpoint invariant model for 3D human pose estimation from a single depth image. To achieve this, our discriminative model embeds local regions into a learned viewpoint invariant feature space. Formulated as a multi-task learning problem, our model is able to selectively predict partial poses in the presence of noise and occlusion. Our(More)
We present an unsupervised representation learning approach that compactly encodes the motion dependencies in videos. Given a pair of images from a video clip, our framework learns to predict the long-term 3D motions. To reduce the complexity of the learning framework, we propose to describe the motion as a sequence of atomic 3D flows computed with RGB-D(More)
The ventromedial hypothalamic nucleus (VMH) regulates a variety of homeostatic processes including female sexual behavior and reproduction. In the current study, we assessed the roles of steroidogenic factor 1 (SF-1) on reproductive function in the VMH using central nervous system-specific SF-1 knockout (SF-1 KO(nCre;F/-)) mice. Here we show that SF-1(More)
Prolonged treatment of breast cancer with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) often results in acquired resistance and a narrow therapeutic index. One strategy to improve the therapeutic effects of EGFR TKIs is to combine them with drugs used for other clinical indications. Ethacrynic acid (EA) is an FDA approved drug(More)
Immunotherapy is emerging as a powerful and active tumor-specific approach against cancer via triggering the immune system. Toll-like receptors (TLRs) are fundamental elements of the immune system, which facilitate our understanding of the innate and adaptive immune pathways. TLR agonists used as single agents can effectively eradicate tumors due to their(More)
Recent progress in developing cost-effective depth sensors has enabled new AIassisted solutions such as assisted driving vehicles and smart spaces. Machine learning techniques have been successfully applied on these depth signals to perceive meaningful information about human behavior. In this work, we propose to deploy depth sensors in hospital settings(More)
Objective To investigate the synergistic anti-breast cancer effect of Toll-like receptor 7 agonist T7-ethacrynic acid conjugate (T7-EA) in combination with receptor-tyrosine-kinase-like orphan receptor 1 (ROR1). Methods ROR1 cytotoxic T lymphocyte (CTL) epitope was predicted using Syfpeithi online software. Mouse spleen lymphocytes and bone marrow dendritic(More)
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