26 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CV2023
SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective
Zipeng Xu, Songlong Xing, Enver Sangineto +1
Owing to the power of vision-language foundation models, e.g., CLIP, the area of image synthesis has seen recent important advances. Particularly, for style transfer, CLIP enables…
cs.AI2020★ 26 cited
Analyzing Unaligned Multimodal Sequence via Graph Convolution and Graph Pooling Fusion
Sijie Mai, Songlong Xing, Jiaxuan He +2
In this paper, we study the task of multimodal sequence analysis which aims to draw inferences from visual, language and acoustic sequences. A majority of existing works generally…
cs.CV2019★ 19 cited
Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion
Sijie Mai, Haifeng Hu, Songlong Xing
Learning joint embedding space for various modalities is of vital importance for multimodal fusion. Mainstream modality fusion approaches fail to achieve this goal, leaving a modal…