no code implementations • 23 Jun 2021 • FangYuan Lei, Da Huang, Jianjian Jiang, Ruijun Ma, Senhong Wang, Jiangzhong Cao, Yusen Lin, Qingyun Dai
In deep learning area, large-scale image datasets bring a breakthrough in the success of object recognition and retrieval.
no code implementations • 3 Dec 2020 • Jing Su, Qingyun Dai, Frank Guerin, Mian Zhou
Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images.
Ranked #21 on
Visual Storytelling
on VIST
(CIDEr metric)
no code implementations • 2 Dec 2020 • Jing Su, Chenghua Lin, Mian Zhou, Qingyun Dai, Haoyu Lv
In this paper, we propose an end-to-end CNN-LSTM model for generating descriptions for sequential images with a local-object attention mechanism.
no code implementations • 2 Aug 2019 • FangYuan Lei, Xun Liu, Qingyun Dai, Bingo Wing-Kuen Ling, Huimin Zhao, Yan Liu
With higher-order neighborhood information of graph network, the accuracy of graph representation learning classification can be significantly improved.