activity
20172021
most citedRobust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization

5 citations · 8 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2021

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…

cs.AI2020

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…

cs.CV2020

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…

cs.LG2018

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…

cs.CV20173 cited

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…

cs.CV20175 cited

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…