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We propose AcFR, an active face recognition system that employs a convolutional neural network and acts consistently with human behaviors in common face recognition scenarios. AcFR comprises two main components—a recognition module and a controller module. The recognition module uses a pre-trained VGG-Face net to extract facial image features along with a nearest neighbor identity recognition algorithm...
We introduce the Clutterpalette, an interactive tool for detailing indoor scenes with small-scale items. When the user points to a location in the scene, the Clutterpalette suggests detail items for that location. In order to present appropriate suggestions, the Clutterpalette is trained on a dataset of images of real-world scenes, annotated with support relations. Our experiments demonstrate that...
We are developing an ultrasonography training system that promises to accelerate the broader use of ultrasound imaging in healthcare. Aiming at cheaper, more efficient, and more effective ultrasound training, a key feature of our system is the real-time, interactive simulation of a 3D virtual patient that, unlike conventional, purely geometric models of the human body, includes deformable soft tissues...
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