215 citations · 270 across the 5 of their papers we have counts for
5 papers
DIME-FM: DIstilling Multimodal and Efficient Foundation Models
Ximeng Sun, Pengchuan Zhang, Peizhao Zhang +3
Large Vision-Language Foundation Models (VLFM), such as CLIP, ALIGN and Florence, are trained on large-scale datasets of image-caption pairs and achieve superior transferability an…
Real-time Localized Photorealistic Video Style Transfer
Xide Xia, Tianfan Xue, Wei-sheng Lai +4
We present a novel algorithm for transferring artistic styles of semantically meaningful local regions of an image onto local regions of a target video while preserving its photore…
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
Xide Xia, Meng Zhang, Tianfan Xue +4
Photorealistic style transfer is the task of transferring the artistic style of an image onto a content target, producing a result that is plausibly taken with a camera. Recent app…
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng, Qinxun Bai, Xide Xia +3
Conventional unsupervised domain adaptation (UDA) assumes that training data are sampled from a single domain. This neglects the more practical scenario where training data are col…
W-Net: A Deep Model for Fully Unsupervised Image Segmentation
Xide Xia, Brian Kulis
While significant attention has been recently focused on designing supervised deep semantic segmentation algorithms for vision tasks, there are many domains in which sufficient sup…