activity
20172020
most citedLearning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

92 citations · 206 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

Xihui Liu, Zhe Lin, Jianming Zhang +4

We propose a novel algorithm, named Open-Edit, which is the first attempt on open-domain image manipulation with open-vocabulary instructions. It is a challenging task considering…

cs.CV201992 cited

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis

Xihui Liu, Guojun Yin, Jing Shao +2

Semantic image synthesis aims at generating photorealistic images from semantic layouts. Previous approaches with conditional generative adversarial networks (GAN) show state-of-th…

cs.CV2019

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Zihao Wang, Xihui Liu, Hongsheng Li +4

Text-image cross-modal retrieval is a challenging task in the field of language and vision. Most previous approaches independently embed images and sentences into a joint embedding…

cs.CV201924 cited

Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing

Xihui Liu, Zihao Wang, Jing Shao +2

Referring expression grounding aims at locating certain objects or persons in an image with a referring expression, where the key challenge is to comprehend and align various types…

cs.CV2018

Localization Guided Learning for Pedestrian Attribute Recognition

Pengze Liu, Xihui Liu, Junjie Yan +1

Pedestrian attribute recognition has attracted many attentions due to its wide applications in scene understanding and person analysis from surveillance videos. Existing methods tr…

cs.CV2018

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association

Dapeng Chen, Hongsheng Li, Xihui Liu +3

Person re-identification is an important task that requires learning discriminative visual features for distinguishing different person identities. Diverse auxiliary information ha…