activity
20192022
most citedSelf-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation

13 citations · 31 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV202213 cited

Self-supervised Image Clustering from Multiple Incomplete Views via Constrastive Complementary Generation

Jiatai Wang, Zhiwei Xu, Xuewen Yang +2

Incomplete Multi-View Clustering aims to enhance clustering performance by using data from multiple modalities. Despite the fact that several approaches for studying this issue hav…

cs.CV20215 cited

Journalistic Guidelines Aware News Image Captioning

Xuewen Yang, Svebor Karaman, Joel Tetreault +1

The task of news article image captioning aims to generate descriptive and informative captions for news article images. Unlike conventional image captions that simply describe the…

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.CV20204 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.CV20208 cited

Learning Color Compatibility in Fashion Outfits

Heming Zhang, Xuewen Yang, Jianchao Tan +3

Color compatibility is important for evaluating the compatibility of a fashion outfit, yet it was neglected in previous studies. We bring this important problem to researchers' att…

cs.LG20191 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…