ScanDMM: A deep markov model of scanpath prediction for 360deg images

X Sui, Y Fang, H Zhu, S Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on
the human visual perception mechanism. Most existing scanpath prediction methods for …

Depth-guided deep filtering network for efficient single image bokeh rendering

Q Chen, B Zheng, X Zhou, A Huang, Y Sun… - Neural Computing and …, 2023 - Springer
Bokeh effect is usually used to highlight major contents in an image. Limited by the small
sensors, cameras on smartphones are less sensitive to the depth information and cannot …

Saliency prediction based on multi-channel models of visual processing

Q Li - Machine Vision and Applications, 2023 - Springer
Visual attention is one of the most significant characteristics for selecting and understanding
the outside redundancy world. The human vision system cannot process all information …

Pvblif: A pseudo video-based blind quality assessment metric for light field image

Z Zhang, S Tian, W Zou, L Morin… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Going beyond traditional 2D imaging is not only an emerging trend of imaging technology,
but also the key to a more immersive user experience. Light Field Image (LFI) is a typical …

An improved saliency model of visual attention dependent on image content

S Novin, A Fallah, S Rashidi, MR Daliri - Frontiers in Human …, 2023 - frontiersin.org
Many visual attention models have been presented to obtain the saliency of a scene, ie, the
visually significant parts of a scene. However, some mechanisms are still not taken into …

RGB-D saliency detection via complementary and selective learning

W Pan, X Sun, Y Qian - Applied Intelligence, 2023 - Springer
Previous RGB-D saliency detection methods adopt different fusion schemes to fuse the RGB
images and depth maps or their saliency maps. However, both the feature maps from …

Saliency-based fabric defect detection via bag-of-words model

M Kanwal, MM Riaz, SS Ali, A Ghafoor - Signal, Image and Video …, 2023 - Springer
Fabric defect detection is a very crucial and challenging problem. A novel saliency-based
fabric defect detection via bag-of-words model framework is suggested to solve this problem …

SSPNet: Predicting visual saliency shifts

H Wang, J Lou, X Liu, H Tan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
When images undergo quality degradation caused by editing, compression or transmission,
their saliency tends to shift away from its original position. Saliency shifts indicate visual …

Parameter adaptive pulse coupled neural network-based saliency map fusion strategy for salient object detection

BV Lad, MF Hashmi, AG Keskar - Neural Computing and Applications, 2023 - Springer
Today, salient object detection has caught the interest of numerous researchers for a variety
of applications in computer vision. Most deep learning-based algorithms for SOD tasks …

Fabric defect detection based on low-rank decomposition with factor group-sparse regularizer

Q Cao, Y Han, K Xiao - Textile Research Journal, 2023 - journals.sagepub.com
Recently, many low-rank-based methods in terms of detecting defects in fabric images have
been proposed. However, there are two disadvantages of these methods. First, current low …