4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
Xiao Han, Xiatian Zhu, Licheng Yu +3
In the fashion domain, there exists a variety of vision-and-language (V+L) tasks, including cross-modal retrieval, text-guided image retrieval, multi-modal classification, and imag…
cs.CV2022★ 2 cited
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning
Suvir Mirchandani, Licheng Yu, Mengjiao Wang +4
Multimodal tasks in the fashion domain have significant potential for e-commerce, but involve challenging vision-and-language learning problems - e.g., retrieving a fashion item gi…
cs.CV2022★ 4 cited
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Xiao Han, Licheng Yu, Xiatian Zhu +3
Large-scale Vision-and-Language (V+L) pre-training for representation learning has proven to be effective in boosting various downstream V+L tasks. However, when it comes to the fa…