419 citations · 532 across the 13 of their papers we have counts for
10 papers · 1 filter
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…
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…
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…
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…