most citedFashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

10 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020

Crossing-Domain Generative Adversarial Networks for Unsupervised Multi-Domain Image-to-Image Translation

Xuewen Yang, Dongliang Xie, Xin Wang

State-of-the-art techniques in Generative Adversarial Networks (GANs) have shown remarkable success in image-to-image translation from peer domain X to domain Y using paired image…

cs.CV2020★ 4 cited

Learning Tuple Compatibility for Conditional OutfitRecommendation

Xuewen Yang, Dongliang Xie, Xin Wang +3

Outfit recommendation requires the answers of some challenging outfit compatibility questions such as 'Which pair of boots and school bag go well with my jeans and sweater?'. It is…

cs.CV2020★ 10 cited

Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards

Xuewen Yang, Heming Zhang, Di Jin +6

Generating accurate descriptions for online fashion items is important not only for enhancing customers' shopping experiences, but also for the increase of online sales. Besides th…

cs.LG2019★ 1 cited

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

Yingru Liu, Xuewen Yang, Dongliang Xie +4

Multi-task learning (MTL) is a common paradigm that seeks to improve the generalization performance of task learning by training related tasks simultaneously. However, it is still…

cs.AI2019

Latent Part-of-Speech Sequences for Neural Machine Translation

Xuewen Yang, Yingru Liu, Dongliang Xie +2

Learning target side syntactic structure has been shown to improve Neural Machine Translation (NMT). However, incorporating syntax through latent variables introduces additional co…