Host: Carnegie Mellon University
Ishu is researching on estimating the structure and motion from Videos. He will be using Deep Neural Networks to train a model that decomposes frame-to-frame pixel motion in terms of scene and object depth, camera motion and 3D object rotations and translations. The model when trained can be used to predict depth maps from the single monocular 2-d image and predict the pose and motion from two consecutive images of the video.