1 code implementation • CVPR 2023 • Yunpeng Han, Lisai Zhang, Qingcai Chen, Zhijian Chen, Zhonghua Li, Jianxin Yang, Zhao Cao
We propose a method for fine-grained fashion vision-language pre-training based on fashion Symbols and Attributes Prompt (FashionSAP) to model fine-grained multi-modalities fashion attributes and characteristics.
no code implementations • 9 Mar 2023 • Lisai Zhang, Qingcai Chen, Zhijian Chen, Yunpeng Han, Zhonghua Li, Zhao Cao
In this paper, we propose a fine-grained VLP scheme without object annotations from the linguistic perspective.
no code implementations • 20 Oct 2021 • Lisai Zhang, Hongfa Wu, Qingcai Chen, Yimeng Deng, Zhonghua Li, Dejiang Kong, Zhao Cao, Joanna Siebert, Yunpeng Han
Cross-model retrieval has emerged as one of the most important upgrades for text-only search engines (SE).
1 code implementation • ACL 2021 • Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, Lisai Zhang
In this study, we define the spectral graph convolutional network with the high-order dynamic Chebyshev approximation (HDGCN), which augments the multi-hop graph reasoning by fusing messages aggregated from direct and long-term dependencies into one convolutional layer.
1 code implementation • CVPR 2021 • Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang
To avoid the prototype completion error caused by primitive knowledge noises or class differences, we further develop a Gaussian based prototype fusion strategy that combines the mean-based and completed prototypes by exploiting the unlabeled samples.
1 code implementation • 7 Apr 2020 • Lisai Zhang, Qingcai Chen, Baotian Hu, Shuoran Jiang
To fulfill such a task, we propose a novel inpainting model named Text-Guided Dual Attention Inpainting Network (TDANet).
no code implementations • 1 Dec 2019 • Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang
In the framework, the visual features are obtained through a visualization and fusion mechanism.
Natural Language Inference Natural Language Understanding +2