Oahu’s single-family home market hit a new record median price in August, and the median condominium price rose slightly, but once the results are seasonally adjusted, they aren’t as rosy as they first appear.

Single panel combines access control, digital video and intrusion detection, designed for Diamond II users

Buy single game tickets to an upcoming Cincinnati Bengals game for the 2024 season.

Lana Del Rey has shared 'Bluebird', thought to be the second single from her upcoming as-yet-untitled new album.

Inspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call the 3D Recurrent Reconstruction Neural Network (3D-R2N2). The network learns a mapping from images of objects to their underlying 3D shapes from a large collection of synthetic data. Our network takes in one or more images of an object instance from arbitrary viewpoints and outputs a reconstruction of the object in the form of a 3D occupancy grid. Unlike most of the previous works, our network does not require any image annotations or object class labels for training or testing. Our extensive experimental analysis shows that our reconstruction framework i) outperforms the state-of-the-art methods for single view reconstruction, and ii) enables the 3D reconstruction of objects in situations when traditional SFM/SLAM methods fail (because of lack of texture and/or wide baseline).