Human action recognition from digital videos based on deep learning
With the development of closed-circuit television, video-based human motion recognition
has made great progress. A large number of surveillance video footages have been …
has made great progress. A large number of surveillance video footages have been …
Vehicle-related scene understanding using deep learning
Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …
achievements in the matter of artificial intelligence. Deep learning produces a significant …
Vehicle-related distance estimation using customized YOLOv7
X Liu, WQ Yan - International Conference on Image and Vision …, 2022 - Springer
With the popularity of autonomous driving, the development of ADAS (Advanced Driver
Assistance Systems), especially collision avoidance systems, has become an important …
Assistance Systems), especially collision avoidance systems, has become an important …
Traffic sign recognition from digital images by using deep learning
Traffic signs are essentially needed to obey the traffic rules. Once a driver ignores the signs,
especially those critical signs, due to the complexity of actual traffic scenes or the influence …
especially those critical signs, due to the complexity of actual traffic scenes or the influence …
A method for face image inpainting based on generative adversarial networks
X Gao - 2022 - openrepository.aut.ac.nz
Recently, face image inpainting has become a fascinating research area in the field of deep
learning. However, the existing methods have the disadvantage that the image inpainting …
learning. However, the existing methods have the disadvantage that the image inpainting …
A multifeature-assisted road and vehicle detection method based on monocular depth estimation and refined UV disparity mapping
W Ma, S Zhu - IEEE Transactions on Intelligent Transportation …, 2022 - ieeexplore.ieee.org
Usually, the detection process of traffic objects, such as vehicles, finds the visual input lacks
the necessary depth information, so it is difficult to directly and quickly obtain the results …
the necessary depth information, so it is difficult to directly and quickly obtain the results …
Depth estimation of traffic scenes from image sequence using deep learning
X Liu, WQ Yan - Pacific-Rim Symposium on Image and Video …, 2022 - Springer
Autonomous cars can accurately perceive the deployment of traffic scenes and the distance
between visual objects in the scenarios through understanding the depth. Therefore, the …
between visual objects in the scenarios through understanding the depth. Therefore, the …
Computational analysis of table tennis matches from real-time videos using deep learning
In this paper, utilizing a multiscale training dataset, YOLOv8 demonstrates rapid inference
capabilities and exceptional accuracy in detecting visual objects, particularly smaller ones …
capabilities and exceptional accuracy in detecting visual objects, particularly smaller ones …
[HTML][HTML] Deep learning for asbestos counting
The PCM (phase contrast microscopy) method for asbestos counting needs special sample
treatments, hence it is time consuming and rather expensive. As an alternative, we …
treatments, hence it is time consuming and rather expensive. As an alternative, we …
A method for face image inpainting based on autoencoder and generative adversarial network
Face image inpainting has great value in the fields of computer vision and digital image
processing. In this paper, we propose a face image inpainting method based on …
processing. In this paper, we propose a face image inpainting method based on …