activity
20142023
most citedConvolutional Neural Network Architectures for Matching Natural Language Sentences

972 citations · 1.2k across the 31 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2021★ 1 cited

VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval

Lisai Zhang, Hongfa Wu, Qingcai Chen +6

Cross-model retrieval has emerged as one of the most important upgrades for text-only search engines (SE). Recently, with powerful representation for pairwise text-image inputs via…

cs.CV2021

Sentence-level Online Handwritten Chinese Character Recognition

Yunxin Li, Qian Yang, Qingcai Chen +4

Single online handwritten Chinese character recognition~(single OLHCCR) has achieved prominent performance. However, in real application scenarios, users always write multiple Chin…

cs.CV2020★ 53 cited

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…

cs.CV2016★ 2 cited

Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition

Baotian Hu, Xin Liu, Xiangping Wu +1

In this paper, we propose a novel model, named Stroke Sequence-dependent Deep Convolutional Neural Network (SSDCNN), using the stroke sequence information and eight-directional fea…