Image inpainting: A review
Although image inpainting, or the art of repairing the old and deteriorated images, has been
around for many years, it has recently gained even more popularity, because of the recent …
around for many years, it has recently gained even more popularity, because of the recent …
[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Deep embedded hybrid CNN–LSTM network for lane detection on NVIDIA Jetson Xavier NX
In recent years, lane detection has become one of the most important factors in the progress
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
of intelligent vehicles. To deal with the challenging problem of low detection precision and …
Multi-modal advanced deep learning architectures for breast cancer survival prediction
Breast cancer is the most frequently occurring cancer and has compelling contributions to
increasing mortality rates among women. The manual prognosis and diagnosis of this …
increasing mortality rates among women. The manual prognosis and diagnosis of this …
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
Development of a vision based pose estimation system for robotic machining and improving its accuracy using LSTM neural networks and sparse regression
In this work, an eye to hand camera based pose estimation system is developed for robotic
machining and the accuracy of the estimated pose is improved using two different …
machining and the accuracy of the estimated pose is improved using two different …
An end-to-end supervised domain adaptation framework for cross-domain change detection
Change detection is a crucial but extremely challenging task in remote sensing image
analysis, and much progress has been made with the rapid development of deep learning …
analysis, and much progress has been made with the rapid development of deep learning …
A transformer-embedded multi-task model for dose distribution prediction
Radiation therapy is a fundamental cancer treatment in the clinic. However, to satisfy the
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …
Traffic signs detection for real-world application of an advanced driving assisting system using deep learning
Recent advanced driving systems are used as luxury tools to handle a difficult or repetitive
task. One of the most important tasks is traffic signs detection that provides the driver with a …
task. One of the most important tasks is traffic signs detection that provides the driver with a …
A multi-modal personality prediction system
The behavior, mental-health, emotion, life choices, social nature, and thought patterns of an
individual are revealed by personality. Cyber forensics, personalized services …
individual are revealed by personality. Cyber forensics, personalized services …