Publications
Explore 513 academic publications
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are c...
Decision making with the analytic hierarchy process
Decisions involve many intangibles that need to be traded off. To do that, they have to be measured along side tangibles whose measurements must also be evaluated as to, how wel...
Image Super-Resolution Using Deep Convolutional Networks
We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution images. The mapping is...
Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations...
ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R
Abstract Summary After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The releas...
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150...
DeepWalk
We present DeepWalk, a novel approach for learning latent representations of\nvertices in a network. These latent representations encode social relations in\na continuous vector...
Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019
In this survey of heath care workers in hospitals equipped with fever clinics or wards for patients with COVID-19 in Wuhan and other regions in China, participants reported expe...