Editing real facial images is a crucial task in computer vision with
sig...
Vector font synthesis is a challenging and ongoing problem in the fields...
Sarcasm generation has been investigated in previous studies by consider...
We consider two biologically plausible structures, the Spiking Neural Ne...
Encrypted data deduplication is an important technique for saving storag...
Recent attention-based image inpainting methods have made inspiring prog...
Incremental learning methods can learn new classes continually by distil...
Image inpainting approaches have achieved significant progress with the ...
Recent works in image inpainting have shown that structural information ...
With the rapid development of blockchain technology, different types of
...
Compared to Hamming distance, weighted Hamming distance as a similarity
...
The need for data trading promotes the emergence of data market. However...
Online hashing methods are efficient in learning the hash functions from...
Binary codes are widely used to represent the data due to their small st...
Subspace clustering refers to the problem of clustering high-dimensional...
Subspace clustering aims to cluster unlabeled data that lies in a union ...
Subspace clustering (SC) refers to the problem of clustering high-dimens...
Sparse Subspace Clustering (SSC) is one of the most popular methods for
...
Orthogonal Matching Pursuit (OMP) plays an important role in data scienc...
The copyright protection of 3D videos has become a crucial issue. In thi...