Emotional attention: A study of image sentiment and visual attention

S Fan, Z Shen, M Jiang, BL Koenig… - Proceedings of the …, 2018 - openaccess.thecvf.com
Image sentiment influences visual perception. Emotion-eliciting stimuli such as happy faces
and poisonous snakes are generally prioritized in human attention. However, little research …

AFFU-Net: Attention feature fusion U-Net with hybrid loss for winter jujube crack detection

Z Zheng, Y Hu, H Yang, Y Qiao, Y He, Y Zhang… - … and Electronics in …, 2022 - Elsevier
Achieving fast and accurate crack detection of winter jujubes is essential for guaranteeing
jujube quality. However, intelligent crack inspection remains a challenging task due to …

HLU2-Net: A Residual U-Structure Embedded U-Net With Hybrid Loss for Tire Defect Inspection

Z Zheng, H Yang, L Zhou, B Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent defect detection have been widely studied and applied in many industrial fields.
However, intelligent tire defect inspection remains a challenging task due to tire …

Emotional attention: From eye tracking to computational modeling

S Fan, Z Shen, M Jiang, BL Koenig… - … on Pattern Analysis …, 2022 - ieeexplore.ieee.org
Attending selectively to emotion-eliciting stimuli is intrinsic to human vision. In this research,
we investigate how emotion-elicitation features of images relate to human selective …

Visual saliency prediction using multi-scale attention gated network

Y Sun, M Zhao, K Hu, S Fan - Multimedia Systems, 2022 - Springer
Predicting human visual attention cannot only increase our understanding of the underlying
biological mechanisms, but also bring new insights for other computer vision-related tasks …

Attention-aware concentrated network for saliency prediction

P Li, X Xing, X Xu, B Cai, J Cheng - Neurocomputing, 2021 - Elsevier
This paper presents a biologically-inspired saliency prediction method to imitate two main
characteristics of the human perception process: focalization and orienting. The proposed …

Salient object detection by robust foreground and background seed selection

H Wang, C Zhu, J Shen, Z Zhang, X Shi - Computers & Electrical …, 2021 - Elsevier
This paper presents a novel background and foreground seed selection method for graph-
based salient object detection. First, according to the boundary prior which considers that …

Saliency detection via bi-directional propagation

Y Xu, X Hong, X Liu, G Zhao - Journal of Visual Communication and Image …, 2018 - Elsevier
Recent saliency models rely on propagation to compute the saliency map. Previous
propagation methods are single directional, where foreground propagation and background …

Outage probability analysis of power splitting power-beacon assisted energy harvesting relay wireless communication networks

TN Nguyen, M Voznak, THQ Minh… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
In this paper, we derived the analytical expressions of the system performance (in term
outage probability and throughput) of the power splitting half-duplex power beacon-assisted …

[PDF][PDF] A visual surface defect detection method based on low rank and sparse representation

J Cao, G Yang, X Yang, J Li - International Journal of Innovative Computing …, 2020 - ijicic.org
Surface defect detection is very crucial for product quality control. A visual detection method
based on low rank and sparse representation for surface defect detection of the wind turbine …