419 citations · 532 across the 13 of their papers we have counts for
13 papers
Attentive pooling for Group Activity Recognition
Ding Li, Yuan Xie, Wensheng Zhang +2
In group activity recognition, hierarchical framework is widely adopted to represent the relationships between individuals and their corresponding group, and has achieved promising…
Variational Distillation for Multi-View Learning
Xudong Tian, Zhizhong Zhang, Cong Wang +6
Information Bottleneck (IB) based multi-view learning provides an information theoretic principle for seeking shared information contained in heterogeneous data descriptions. Howev…
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization
Zelin Ren, Xuebing Yang, Yuchen Jiang +1
Kernel principal component analysis (KPCA) is a well-recognized nonlinear dimensionality reduction method that has been widely used in nonlinear fault detection tasks. As a kernel…
Multi-scale 2D Representation Learning for weakly-supervised moment retrieval
Ding Li, Rui Wu, Yongqiang Tang +2
Video moment retrieval aims to search the moment most relevant to a given language query. However, most existing methods in this community often require temporal boundary annotatio…
Solving the Travelling Thief Problem based on Item Selection Weight and Reverse Order Allocation
Lei Yang, Zitong Zhang, Xiaotian Jia +3
The Travelling Thief Problem (TTP) is a challenging combinatorial optimization problem that attracts many scholars. The TTP interconnects two well-known NP-hard problems: the Trave…
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Lei Tian, Yongqiang Tang, Liangchen Hu +2
Domain adaptation has been a fundamental technology for transferring knowledge from a source domain to a target domain. The key issue of domain adaptation is how to reduce the dist…
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
Haifang Li, Yingce Xia, Wensheng Zhang
Policy evaluation with linear function approximation is an important problem in reinforcement learning. When facing high-dimensional feature spaces, such a problem becomes extremel…
Effective Image Retrieval via Multilinear Multi-index Fusion
Zhizhong Zhang, Yuan Xie, Wensheng Zhang +1
Multi-index fusion has demonstrated impressive performances in retrieval task by integrating different visual representations in a unified framework. However, previous works mainly…
Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Yanyun Qu, Jinyan Liu, Yuan Xie +1
Most recently, tensor-SVD is implemented on multi-view self-representation clustering and has achieved the promising results in many real-world applications such as face clustering…
On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Yuan Xie, Dacheng Tao, Wensheng Zhang +3
In this paper, we address the multi-view subspace clustering problem. Our method utilizes the circulant algebra for tensor, which is constructed by stacking the subspace representa…
Weighted Schatten -Norm Minimization for Image Denoising and Background Subtraction
Yuan Xie, Shuhang Gu, Yan Liu +3
Low rank matrix approximation (LRMA), which aims to recover the underlying low rank matrix from its degraded observation, has a wide range of applications in computer vision. The l…
A New Low-Rank Tensor Model for Video Completion
Wenrui Hu, Dacheng Tao, Wensheng Zhang +2
In this paper, we propose a new low-rank tensor model based on the circulant algebra, namely, twist tensor nuclear norm or t-TNN for short. The twist tensor denotes a 3-way tensor…
Distortion-driven Turbulence Effect Removal using Variational Model
Yuan Xie, Wensheng Zhang, Dacheng Tao +3
It remains a challenge to simultaneously remove geometric distortion and space-time-varying blur in frames captured through a turbulent atmospheric medium. To solve, or at least re…