Numerous recent advances in robotics have been inspired by the biological principle of
tensile integrity—or “tensegrity”—to achieve remarkable feats of dexterity and resilience …

Classification of human actions is an ongoing research problem in computer vision. This
review is aimed to scope current literature on data fusion and action recognition techniques …

Aerial robots are widely deployed, but highly cluttered environments such as dense forests
remain inaccessible to drones and even more so to swarms of drones. In these scenarios …

Quadrotors are agile. Unlike most other machines, they can traverse extremely complex
environments at high speeds. To date, only expert human pilots have been able to fully …

Abstract Skeleton-based Human Activity Recognition has achieved great interest in recent
years as skeleton data has demonstrated being robust to illumination changes, body scales …

Micro-expression (ME) is a significant non-verbal communication clue that reveals one
person's genuine emotional state. The development of micro-expression analysis (MEA) has …

A key component of Simultaneous Localization and Mapping (SLAM) systems is the joint
optimization of the estimated 3D map and camera trajectory. Bundle adjustment (BA) is the …

In this paper, we propose the convolutional spatial propagation network (CSPN) and
demonstrate its effectiveness for various depth estimation tasks. CSPN is a simple and …

The ability to plan informative paths online is essential to robot autonomy. In particular,
sampling-based approaches are often used as they are capable of using arbitrary …

Given sparse depths and the corresponding RGB images, depth completion aims at spatially
propagating the sparse measurements throughout the whole image to get a dense depth …