In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Learning sciences are embracing the significant role technologies can play to better detect,
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …

Communication systems to date primarily aim at reliably communicating bit sequences.
Such an approach provides efficient engineering designs that are agnostic to the meanings …

In this paper, we design a new class of high-efficiency deep joint source-channel coding
methods to achieve end-to-end video transmission over wireless channels. The proposed …

At present, and increasingly so in the future, much of the captured visual content will not be
seen by humans. Instead, it will be used for automated machine vision analytics and may …

The vigorous developments of the Internet of Things make it possible to extend its computing
and storage capabilities to computing tasks in the aerial system with the collaboration of …

Image compression is one of the most fundamental techniques and commonly used
applications in the image and video processing field. Earlier methods built a well-designed …

An agent that is capable of predicting what happens next can perform a variety of tasks
through planning with no additional training. Furthermore, such an agent can internally …

We propose an end-to-end image compression and analysis model with Transformers,
targeting to the cloud-based image classification application. Instead of placing an existing …

Abstract Image Coding for Machines (ICM) aims to compress images for AI tasks analysis
rather than meeting human perception. Learning a kind of feature that is both general (for AI …