Published in Sep 21, 2025
Recommended citation: Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, and Peng Liu. 2025. Syntactic-Conditional Diffusion Networks for Controllable Image Captioning. ACM Trans. Multimedia Comput. Commun. Appl. 21, 9, Article 259 (September 2025), 25 pages. https://doi.org/10.1145/3748653 https://dl.acm.org/doi/10.1145/3748653
Published in Feb 26, 2025
Recommended citation: Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, and Peng Liu. 2025. Syntactic-Conditional Diffusion Networks for Controllable Image Captioning. ACM Trans. Multimedia Comput. Commun. Appl. 21, 9, Article 259 (September 2025), 25 pages. https://doi.org/10.1145/3748653 https://ieeexplore.ieee.org/document/11359739
Published in Jan 21, 2025
Recommended citation: Bing Liu, Wenjie Yang, Mingming Liu, Hao Liu, Yong Zhou, and Peng Liu. 2025. Syntactic-Conditional Diffusion Networks for Controllable Image Captioning. ACM Trans. Multimedia Comput. Commun. Appl. 21, 9, Article 259 (September 2025), 25 pages. https://doi.org/10.1145/3748653 https://ieeexplore.ieee.org/document/11359739
Published in February 23, 2022
Age-invariant adversarial feature learning for kinship verification
Recommended citation: Liu F, Li Z, Yang W, et al. Age-invariant adversarial feature learning for kinship verification[J]. Mathematics, 2022, 10(3): 480. https://www.mdpi.com/1481392
Published in November 5, 2021
This paper is about object detection
Recommended citation: Wang J, Liu F, Yang W, et al. Pavement crack detection using attention u-net with multiple sources[C]//Pattern Recognition and Computer Vision: Third Chinese Conference, PRCV 2020, Nanjing, China, October 16–18, 2020, Proceedings, Part II 3. Springer International Publishing, 2020: 664-672. https://link.springer.com/chapter/10.1007/978-3-030-60639-8_55
Published in May 19, 2021
A survey of convolutional neural networks
Recommended citation: Li Z, Liu F, Yang W, et al. A survey of convolutional neural networks: analysis, applications, and prospects[J]. IEEE transactions on neural networks and learning systems, 2021. https://https://ieeexplore.ieee.org/document/9451544