For construction safety and health, continuous monitoring of unsafe conditions and action is
essential in order to eliminate potential hazards in a timely manner. As a robust and …

We tackle the problem of joint perception and motion forecasting in the context of self-driving
vehicles. Towards this goal we propose PnPNet, an end-to-end model that takes as input …

Modern construction projects require sufficient planning and management of resources to
become successful. Core issues are tasks that deal with maintaining the schedule, such as …

This paper discusses the possibility of-and need for-tracking workforce on construction
jobsites using video cameras. An evaluation of algorithms and their associated results is …

In this paper, we propose a unified graphical-model framework to interpret a scene
composed of multiple objects in monocular video sequences. Using a single pairwise …

This work presents a new method for tracking and segmenting along time-interacting objects
within an image sequence. One major contribution of the paper is the formalization of the …

This study investigates an efficient algorithm for image segmentation with a global constraint
based on the Bhattacharyya measure. The problem consists of finding a region consistent …

Studying intracellular dynamics is of fundamental importance for understanding healthy life
at the molecular level and for developing drugs to target disease processes. One of the key …

Understanding neural connectivity and structures in the brain requires detailed 3D
anatomical models, and such an understanding is essential to the study of the nervous …

We present efficient graph cut algorithms for three problems:(1) finding a region in an image,
so that the histogram (or distribution) of an image feature within the region most closely …