In he past decade, object detection has achieved significant progress in natural images but not in aerial images, due to the massive variations in the scale and orientation of objects caused by the…
Recently, there have been efforts on developing monolithically integrated avalanche photodiodes (APDs) for visible and near-infrared (NIR) wavelengths. However, the fabrication of these detectors i…
We address the problem of retrieving a specific moment from an untrimmed video by natural language. It is a challenging problem because a target moment may take place in the context of other tempor…
Optical frequency domain reflectometry (OFDR) is an attractive locating technology for distributed acoustic sensor (DAS) due to its high spatial resolution, but the detectable bandwidth of vibratio…
Based on the novel concept of a fully-digitized module, we employ a forward-designed-assisted inverse design method to design a nonvolatile reconfigurable mode generator and an optical circulator, …
The monitoring of electric current is essential to ensuring the reliable operation of power systems and electronic equipment. The present study demonstrates an optomechanical cavity-based resonator…
Non-Line-of-Sight (NLOS) imaging reconstructs occluded scenes based on indirect diffuse reflections. The computational complexity and memory consumption of existing NLOS reconstruction algorithms m…
We discuss three main lines of comments on our paper: internal validity of the research given consumers’ potential misunderstanding of Black Lives Matter (BLM), challenges to the causal inference…
We scrutinize the direct and moderated impact of brands’ support for Black Lives Matter (BLM) on consumer responses. Our empirical strategy exploits Blackout Tuesday as a natural experiment in wh…
Existing face hallucination methods based on convolutional neural networks (CNNs) have achieved impressive performance on low-resolution (LR) faces in a normal illumination condition. However, thei…