Investigating deep CNNs models applied in kinship verification through facial images
The kinship verification through facial images is ana ctive research topic due to its potential applications. In this paper, we propose an […]
Weighted Multiple Instance-Based Deep Correlation Filter for Video Tracking Processing
With the development of internet technology, the video data has been widely used in multimedia devices, such as video surveillance, webcast, and […]
Deep Learning for Generic Object Detection
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number […]
Deep learning based container text recognition
Traditional character segmentation has low accuracy for container scene text recognition. Convolutional recurrent neural network (CRNN) and connectionist text proposal network (CTPN) […]
Hot or not?
Wearable thermal imaging is emerging as a powerful and increasingly affordable sensing technology. Current thermal imaging solutions are mostly based on uncooled […]
A spatiotemporal convolutional neural network for automatic pain intensity estimation from facial dynamics
Devising computational models for detecting abnormalities reflective of diseases from facial structures is a novel and emerging field of research in automatic […]
DCNN based Real-time Adaptive Ship License Plate Recognition (DRASLPR)
Ship license plate recognition is challenging due to the diversity of plate locations and text types. This paper proposes a DCNN-based (deep […]
Modeling IoT Equipment With Graph Neural Networks
Traditional neural networks usually concentrate on temporal data in system simulation, and lack of capabilities to reason inner logic relations between different […]
RPN-FCN based Rust detection on power equipment
This paper proposes a novel RPN-FCN based rust detection approach. The RPN-FCN generates region proposals with RPN and performs full convolution for […]
A Streaming Cloud Platform for Real-Time Video Processing on Embedded Devices
Real-time intelligent video processing on embedded devices with low power consumption can be useful for applications like drone surveillance, smart cars, and […]