We are living in a three-dimensional space while moving forward through a fourth
dimension: time. To allow artificial intelligence to develop a comprehensive understanding …

We present a novel approach to video segmentation using multiple object proposals. The
problem is formulated as a minimization of a novel energy function defined over a fully …

In this paper, we tackle the problem of unsupervised segmentation in the form of
superpixels. Our main emphasis is on speed and accuracy. We build on [31] to define the …

We present an end-to-end image processing framework for time-of-flight (ToF) cameras.
Existing ToF image processing pipelines consist of a sequence of operations including …

Purpose: To automate the segmentation of retinal layers, we propose DeepRetina, a method
based on deep neural networks. Methods: DeepRetina uses the improved Xception65 to …

We present an imaging framework which converts three images from a gated camera into
high-resolution depth maps with depth accuracy comparable to pulsed lidar measurements …

US10360732B2 - Method and system of determining object positions for image processing
using wireless network angle of transmission - Google Patents US10360732B2 - Method and …

This paper presents a novel method to involve both spatial and temporal features for
semantic video segmentation. Current work on convolutional neural networks (CNNs) has …

Depth sensors have emerged as a cornerstone sensor modality with diverse applications in
personal hand-held devices, robotics, scientific imaging, autonomous vehicles, and more. In …

Active stereo cameras that recover depth from structured light captures have become a
cornerstone sensor modality for 3D scene reconstruction and understanding tasks across …