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03/21/2023
Efficient algorithms for Tucker decomposition via approximate matrix multiplication
This paper develops fast and efficient algorithms for computing Tucker d...
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02/26/2023
Robust Cross-domain CT Image Reconstruction via Bayesian Noise Uncertainty Alignment
In this work, we tackle the problem of robust computed tomography (CT) r...
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02/22/2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
This paper focuses on representation learning for dynamic graphs with te...
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09/16/2022
A regularization-patching dual quaternion optimization method for solving the hand-eye calibration problem
The hand-eye calibration problem is an important application problem in ...
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09/07/2022
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Distinguishing between computer-generated (CG) and natural photographic ...
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04/17/2022
Learning with Signatures
In this work we investigate the use of the Signature Transform in the co...
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03/07/2022
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
In this paper, we develop a new and systematic method to explore and ana...
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03/07/2022
Minimax principle for right eigenvalues of dual quaternion matrices and their generalized inverses
Dual quaternions can represent rigid body motion in 3D spaces, and have ...
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07/01/2021
Orthonormal Product Quantization Network for Scalable Face Image Retrieval
Recently, deep hashing with Hamming distance metric has drawn increasing...
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03/27/2021
Instance segmentation with the number of clusters incorporated in embedding learning
Semantic and instance segmentation algorithms are two general yet distin...
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03/17/2021
Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
Deep supervised hashing for image retrieval has attracted researchers' a...
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12/28/2020
Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion
Dynamic facial expression recognition has many useful applications in so...
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08/24/2020
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification
Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy ...
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08/23/2020
Unsupervised Domain Adaptation via Discriminative Manifold Propagation
Unsupervised domain adaptation is effective in leveraging rich informati...
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08/23/2020
Discriminative Residual Analysis for Image Set Classification with Posture and Age Variations
Image set recognition has been widely applied in many practical problems...
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06/14/2020
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network
Unsupervised domain adaptation aims to generalize the supervised model t...
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10/21/2019
Orthogonal Nonnegative Tucker Decomposition
In this paper, we study the nonnegative tensor data and propose an ortho...
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08/29/2019
Randomized algorithms for the low multilinear rank approximations of tensors
In this paper, we develop efficient methods for the computation of low m...
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01/31/2019
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Convolutional neural networks have been widely used in content-based ima...
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03/12/2018
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
Deep supervised hashing has emerged as an influential solution to large-...
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02/27/2018
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval
Deep distance metric learning (DDML), which is proposed to learn image s...
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06/01/2012
