Street View serves millions of Google users daily with panoramic imagery captured in hundreds
of cities in 20 countries across four continents. A team of Google researchers describes …

Our goal is to train a policy for autonomous driving via imitation learning that is robust enough
to drive a real vehicle. We find that standard behavior cloning is insufficient for handling …

Monte Carlo simulation studies are performed to examine the implications of octahedral
cation (Fe, Mo) site disorder for magnetization in the double-perovskite Sr 2 FeMoO 6 . …

We present a new real-time approach to object detection that exploits the efficiency of cascade
classifiers with the accuracy of deep neural networks. Deep networks have been shown …

We examine the implications of shape on the process of finding dense correspondence and
half-occlusions for a stereo pair of images. The desired property of the disparity map is that it …

In this paper, we represent human actions as sentences generated by a language built on
atomic body poses or phonemes. The knowledge of body pose is stored only implicitly as a …

The development of language models have moved from encoder-decoder to decoder-only
designs. In addition, we observe that the two most popular multimodal tasks, the generative …

We examine the key role of occlusions in finding independently moving objects instantaneously
in a video obtained by a moving camera with a restricted field of view. In this problem, …

Training a neural network is a monolithic endeavor, akin to carving knowledge into stone:
once the process is completed, editing the knowledge in a network is nearly impossible, since …

By examining the problem of image correspondence (binocular stereo and optical flow) and
its relationship with other modules such as segmentation, shape and depth estimation, …