14 citations · 16 across the 3 of their papers we have counts for
3 papers
eess.IV2023
Connectional-Style-Guided Contextual Representation Learning for Brain Disease Diagnosis
Gongshu Wang, Ning Jiang, Yunxiao Ma +6
Structural magnetic resonance imaging (sMRI) has shown great clinical value and has been widely used in deep learning (DL) based computer-aided brain disease diagnosis. Previous ap…
cs.CV2022★ 2 cited
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
Yu Du, Miaojing Shi, Fangyun Wei +1
Zero-shot learning (ZSL) aims to recognize classes that do not have samples in the training set. One representative solution is to directly learn an embedding function associating…
cs.CV2022★ 14 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…