activity
20192022
most citedAligning Pretraining for Detection via Object-Level Contrastive Learning

54 citations · 77 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202214 cited

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

Yu Du, Fangyun Wei, Zihe Zhang +3

Recently, vision-language pre-training shows great potential in open-vocabulary object detection, where detectors trained on base classes are devised for detecting new classes. The…

cs.CV202154 cited

Aligning Pretraining for Detection via Object-Level Contrastive Learning

Fangyun Wei, Yue Gao, Zhirong Wu +2

Image-level contrastive representation learning has proven to be highly effective as a generic model for transfer learning. Such generality for transfer learning, however, sacrific…

cs.CV20215 cited

High-Fidelity and Arbitrary Face Editing

Yue Gao, Fangyun Wei, Jianmin Bao +4

Cycle consistency is widely used for face editing. However, we observe that the generator tends to find a tricky way to hide information from the original image to satisfy the cons…

cs.CV20204 cited

Attribute2Font: Creating Fonts You Want From Attributes

Yizhi Wang, Yue Gao, Zhouhui Lian

Font design is now still considered as an exclusive privilege of professional designers, whose creativity is not possessed by existing software systems. Nevertheless, we also notic…

cs.CV2019

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Yue Gao, Yuan Guo, Zhouhui Lian +2

Automatic generation of artistic glyph images is a challenging task that attracts many research interests. Previous methods either are specifically designed for shape synthesis or…