Recently, methods have been proposed for 3D open-vocabulary semantic
seg...
Image segmentation plays an essential role in nuclei image analysis.
Rec...
Continual learning refers to the capability of continuously learning fro...
Most existing methods for multi-source unsupervised domain adaptation (U...
In this paper, we address the problem of makeup transfer, which aims at
...
The video captioning task is to describe the video contents with natural...
Video captioning is an advanced multi-modal task which aims to describe ...
Driven by deep learning and the large volume of data, scene text recogni...
Given the features of a video, recurrent neural network can be used to
a...
Data stream classification methods demonstrate promising performance on ...
As the multi-view data grows in the real world, multi-view clus-tering h...
Partial least squares regression (PLSR) has been a popular technique to
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The paper addresses the problem of optimizing a class of composite funct...