As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential
role in controlling and slowing down the spread of the virus in smart cities. To ensure the …

A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization,
and following re-identification (re-ID) for object association. This pipeline is partially …

Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

Learning socially-aware motion representations is at the core of recent advances in multi-
agent problems, such as human motion forecasting and robot navigation in crowds. Despite …

Studying how neural circuits orchestrate limbed behaviors requires the precise
measurement of the positions of each appendage in three-dimensional (3D) space. Deep …

We present VoxelTrack for multi-person 3D pose estimation and tracking from a few
cameras which are separated by wide baselines. It employs a multi-branch network to jointly …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

Multi-view crowd counting has been previously proposed to utilize multi-cameras to extend
the field-of-view of a single camera, capturing more people in the scene, and improve …

Panoptic image segmentation is the computer vision task of finding groups of pixels in an
image and assigning semantic classes and object instance identifiers to them. Research in …