53 citations · 63 across the 6 of their papers we have counts for
6 papers
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training
Yunpeng Han, Lisai Zhang, Qingcai Chen +4
Fashion vision-language pre-training models have shown efficacy for a wide range of downstream tasks. However, general vision-language pre-training models pay less attention to fin…
Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training
Lisai Zhang, Qingcai Chen, Zhijian Chen +3
Fine-grained supervision based on object annotations has been widely used for vision and language pre-training (VLP). However, in real-world application scenarios, aligned multi-mo…
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Shuoran Jiang, Qingcai Chen, Xin Liu +2
Graph convolutional network (GCN) has become popular in various natural language processing (NLP) tasks with its superiority in long-term and non-consecutive word interactions. How…
Prototype Completion with Primitive Knowledge for Few-Shot Learning
Baoquan Zhang, Xutao Li, Yunming Ye +2
Few-shot learning is a challenging task, which aims to learn a classifier for novel classes with few examples. Pre-training based meta-learning methods effectively tackle the probl…
Text-Guided Neural Image Inpainting
Lisai Zhang, Qingcai Chen, Baotian Hu +1
Image inpainting task requires filling the corrupted image with contents coherent with the context. This research field has achieved promising progress by using neural image inpain…
Semi-supervised Visual Feature Integration for Pre-trained Language Models
Lisai Zhang, Qingcai Chen, Dongfang Li +1
Integrating visual features has been proved useful for natural language understanding tasks. Nevertheless, in most existing multimodal language models, the alignment of visual and…