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20172023
most citedHeterogeneous Domain Generalization via Domain Mixup

120 citations · 318 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.CV20212 cited

Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation

Yufei Wang, Haoliang Li, Lap-pui Chau +1

Though convolutional neural networks are widely used in different tasks, lack of generalization capability in the absence of sufficient and representative data is one of the challe…

cs.CV202082 cited

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization

Haoliang Li, YuFei Wang, Renjie Wan +3

Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks. However, the recent advanced models still require access…

cs.CV2020120 cited

Heterogeneous Domain Generalization via Domain Mixup

Yufei Wang, Haoliang Li, Alex C. Kot

One of the main drawbacks of deep Convolutional Neural Networks (DCNN) is that they lack generalization capability. In this work, we focus on the problem of heterogeneous domain ge…

cs.CV20192 cited

UniDual: A Unified Model for Image and Video Understanding

Yufei Wang, Du Tran, Lorenzo Torresani

Although a video is effectively a sequence of images, visual perception systems typically model images and videos separately, thus failing to exploit the correlation and the synerg…

cs.CV2018

Concept Mask: Large-Scale Segmentation from Semantic Concepts

Yufei Wang, Zhe Lin, Xiaohui Shen +2

Existing works on semantic segmentation typically consider a small number of labels, ranging from tens to a few hundreds. With a large number of labels, training and evaluation of…

cs.CV20171 cited

Recognizing and Curating Photo Albums via Event-Specific Image Importance

Yufei Wang, Zhe Lin, Xiaohui Shen +3

Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collecti…