This paper develops fast and efficient algorithms for computing Tucker
d...
In this work, we tackle the problem of robust computed tomography (CT)
r...
This paper focuses on representation learning for dynamic graphs with
te...
The hand-eye calibration problem is an important application problem in ...
Distinguishing between computer-generated (CG) and natural photographic ...
In this work we investigate the use of the Signature Transform in the co...
In this paper, we develop a new and systematic method to explore and ana...
Dual quaternions can represent rigid body motion in 3D spaces, and have ...
Recently, deep hashing with Hamming distance metric has drawn increasing...
Semantic and instance segmentation algorithms are two general yet distin...
Deep supervised hashing for image retrieval has attracted researchers'
a...
Dynamic facial expression recognition has many useful applications in so...
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy
...
Unsupervised domain adaptation is effective in leveraging rich informati...
Image set recognition has been widely applied in many practical problems...
Unsupervised domain adaptation aims to generalize the supervised model
t...
In this paper, we study the nonnegative tensor data and propose an ortho...
In this paper, we develop efficient methods for the computation of low
m...
Convolutional neural networks have been widely used in content-based ima...
Deep supervised hashing has emerged as an influential solution to large-...
Deep distance metric learning (DDML), which is proposed to learn image
s...
Feature extraction is one of the fundamental problems of character
recog...