Edge computing and sensor-cloud: Overview, solutions, and directions
Sensor-cloud originates from extensive recent applications of wireless sensor networks and
cloud computing. To draw a roadmap of the current research activities of the sensor-cloud …
cloud computing. To draw a roadmap of the current research activities of the sensor-cloud …
A robust GAN-generated face detection method based on dual-color spaces and an improved Xception
In recent years, generative adversarial networks (GANs) have been widely used to generate
realistic fake face images, which can easily deceive human beings. To detect these images …
realistic fake face images, which can easily deceive human beings. To detect these images …
Orthorectification of fisheye image under equidistant projection model
The fisheye camera, with its large viewing angle, can acquire more spatial information in
one shot and is widely used in many fields. However, a fisheye image contains large …
one shot and is widely used in many fields. However, a fisheye image contains large …
Local and global perception generative adversarial network for facial expression synthesis
Facial expression synthesis has gained increasing attention with the development of
Generative Adversarial Networks (GANs). However, it is still very challenging to generate …
Generative Adversarial Networks (GANs). However, it is still very challenging to generate …
Simfir: A simple framework for fisheye image rectification with self-supervised representation learning
In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …
plane. These distortion patterns are independent of the visual content and provide …
Progressively complementary network for fisheye image rectification using appearance flow
Distortion rectification is often required for fisheye images. The generation-based method is
one mainstream solution due to its label-free property, but its naive skip-connection and …
one mainstream solution due to its label-free property, but its naive skip-connection and …
Recrecnet: Rectangling rectified wide-angle images by thin-plate spline model and dof-based curriculum learning
The wide-angle lens shows appealing applications in VR technologies, but it introduces
severe radial distortion into its captured image. To recover the realistic scene, previous …
severe radial distortion into its captured image. To recover the realistic scene, previous …
Fast tensor nuclear norm for structured low-rank visual inpainting
Low-rank modeling has achieved great success in visual data completion. However, the low-
rank assumption of original visual data may be in approximate mode, which leads to …
rank assumption of original visual data may be in approximate mode, which leads to …
Deep learning for camera calibration and beyond: A survey
Camera calibration involves estimating camera parameters to infer geometric features from
captured sequences, which is crucial for computer vision and robotics. However …
captured sequences, which is crucial for computer vision and robotics. However …
A generative adversarial network‐based synthetic data augmentation technique for battery condition evaluation
Energy storage systems have been in the spotlight for the past decade as they offer tangible
solutions to the ever‐growing pollution problem faced by the planet. These storage systems …
solutions to the ever‐growing pollution problem faced by the planet. These storage systems …