Accès libre

Fine-Grained Emotional Calculation of Emotional Expression in Modern Visual Communication Designs

À propos de cet article

Citez

Liao, Q., Wang, D., & Xu, M. (2022). Category attention transfer for efficient fine-grained visual categorization. Pattern recognition letters. Search in Google Scholar

Yang, L., Wang, P., Liu, C., Gao, Z., & Gaob, W. (2021). Towards fine-grained human pose transfer with detail replenishing network. IEEE Transactions on Image Processing, PP(99), 1–1. Search in Google Scholar

Teyssier, M., Bailly, G., Pelachaud, C., & Lecolinet, E. (2020). Conveying emotions through device-initiated touch. IEEE Transactions on Affective Computing, PP(99), 1–1. Search in Google Scholar

Wu, T., Peng, J., Zhang, W., Zhang, H., Tan, S., & Yi, F., et al. (2022). Video sentiment analysis with bimodal information-augmented multi-head attention. Knowledge-based systems(Jan.10), 235. Search in Google Scholar

Eskimez, S. E., Zhang, Y., & Duan, Z. (2021). Speech driven talking face generation from a single image and an emotion condition. IEEE Transactions on Multimedia. Search in Google Scholar

Lima, Cesar F.Anikin, AndreyMonteiro, Ana CatarinaScott, Sophie K.Castro, Sao Luis. (2019). Automaticity in the recognition of nonverbal emotional vocalizations. Nature reviews Cancer, 19(2). Search in Google Scholar

Lam, Michael, O., Hollingsworth, Jeffrey, & K. (2018). Fine-grained floating-point precision analysis. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 32(2), 231–245. Search in Google Scholar

Sun, N., & Yang, P. (2023). T 2 l: trans-transfer learning for few-shot fine-grained visual categorization with extended adaptation. Knowledge-Based Systems, 264, 110329-. Search in Google Scholar

Song, K., Wei, X. S., Shu, X., Song, R. J., & Lu, J. (2020). Bi-modal progressive mask attention for fine-grained recognition. IEEE Transactions on Image Processing, PP(99), 1–1. Search in Google Scholar

Wu, L., Wang, Y., Li, X., & Gao, J. (2018). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics, 1791–1802. Search in Google Scholar

Zhou, F., Kong, S., Fowlkes, C. C., Chen, T., & Lei, B. (2020). Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing, 392. Search in Google Scholar

Lin, Wang, Yang, Xue, Gao, & Junbin. (2019). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics. Search in Google Scholar

Yu, A. G. K. (2020). Densifying supervision for fine-grained visual comparisons. International Journal of Computer Vision, 128(10a11). Search in Google Scholar

Liu, X. (2020). Application of cloud-based visual communication design in internet of things image. Soft Computing, 24(4). Search in Google Scholar

Chen, J., Chen, Z., Chi, Z., & Fu, H. (2018). Facial expression recognition in video with multiple feature fusion. IEEE Transactions on Affective Computing, 1–1. Search in Google Scholar

Yao, H., Zhang, S., Yan, C., Zhang, Y., Li, J., & Tian, Q. (2018). Autobd: automated bi-level description for scalable fine-grained visual categorization. IEEE Transactions on Image Processing, 27(1), 10–23. Search in Google Scholar

Hossain, S., Umer, S., Rout, R. K., & Tanveer, M. (2023). Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling. Applied Soft Computing. Search in Google Scholar

Zhou, K., Sisman, B., Rana, R., Schuller, B., & Li, H. (2022). Emotion intensity and its control for emotional voice conversion. IEEE Transactions on Affective Computing, 14, 31–48. Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics