1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN353 papers
- University of Chinese Academy of SciencesCN228 papers
- Shandong Institute of AutomationCN78 papers
- Beijing Academy of Artificial IntelligenceCN58 papers
- Center for Excellence in Brain Science and Intelligence TechnologyCN57 papers
- Tsinghua UniversityCN26 papers
- Peking UniversityCN16 papers
- National University of SingaporeSG13 papers
- Beijing University of Posts and TelecommunicationsCN12 papers
- Beihang UniversityCN11 papers
- University of Science and Technology of ChinaCN11 papers
- Anhui UniversityCN9 papers
18 papers · 1 filter
Cross-Modal Learning via Pairwise Constraints
Ran He, Man Zhang, Liang Wang +2
In multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cros…
Cross-Modal Similarity Learning : A Low Rank Bilinear Formulation
Cuicui Kang, Shengcai Liao, Yonghao He +4
The cross-media retrieval problem has received much attention in recent years due to the rapid increasing of multimedia data on the Internet. A new approach to the problem has been…
Containment Control of Multi-Agent Systems with Dynamic Leaders Based on a -Type Approach
Yunpeng Wang, Long Cheng, Wei Ren +2
This paper studies the containment control problem of multi-agent systems with multiple dynamic leaders in both the discrete-time domain and the continuous-time domain. The leaders…
Q-learning for Optimal Control of Continuous-time Systems
Biao Luo, Derong Liu, Tingwen Huang
In this paper, two Q-learning (QL) methods are proposed and their convergence theories are established for addressing the model-free optimal control problem of general nonlinear co…
Multiple Object Tracking: A Literature Review
Wenhan Luo, Junliang Xing, Anton Milan +3
Multiple Object Tracking (MOT) has gained increasing attention due to its academic and commercial potential. Although different approaches have been proposed to tackle this problem…
Effective Spectral Unmixing via Robust Representation and Learning-based Sparsity
Feiyun Zhu, Ying Wang, Bin Fan +2
Hyperspectral unmixing (HU) plays a fundamental role in a wide range of hyperspectral applications. It is still challenging due to the common presence of outlier channels and the l…
A Fast and Accurate Unconstrained Face Detector
Shengcai Liao, Anil K. Jain, Stan Z. Li
We propose a method to address challenges in unconstrained face detection, such as arbitrary pose variations and occlusions. First, a new image feature called Normalized Pixel Diff…
Aggregate channel features for multi-view face detection
Bin Yang, Junjie Yan, Zhen Lei +1
Face detection has drawn much attention in recent decades since the seminal work by Viola and Jones. While many subsequences have improved the work with more powerful learning algo…
Distributed MIN-MAX Optimization Application to Time-optimal Consensus: An Alternating Projection Approach
Chunhe Hu, Zongji Chen
In this paper, we proposed an alternating projection based algorithm to solve a class of distributed MIN-MAX convex optimization problems. We firstly transform this MINMAX problem…
An Algebraic Framework for the Real-Time Solution of Inverse Problems on Embedded Systems
Christoph Gugg, Matthew Harker, Paul O'Leary +1
This article presents a new approach to the real-time solution of inverse problems on embedded systems. The class of problems addressed corresponds to ordinary differential equatio…
A Search for Double-peaked narrow emission line Galaxies and AGNs in the LAMOST DR1
Zhi-Xin Shi, A-Li Luo, Georges Comte +15
LAMOST has released more than two million spectra, which provide the opportunity to search for double-peaked narrow emission line (NEL) galaxies and AGNs. The double-peaked narrow-…
A higher-order MRF based variational model for multiplicative noise reduction
Yunjin Chen, Wensen Feng, René Ranftl +2
The Fields of Experts (FoE) image prior model, a filter-based higher-order Markov Random Fields (MRF) model, has been shown to be effective for many image restoration problems. Mot…
Structured Sparse Method for Hyperspectral Unmixing
Feiyun Zhu, Ying Wang, Shiming Xiang +2
Hyperspectral Unmixing (HU) has received increasing attention in the past decades due to its ability of unveiling information latent in hyperspectral data. Unfortunately, most exis…
Image Retargeting by Content-Aware Synthesis
Weiming Dong, Fuzhang Wu, Yan Kong +3
Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on conten…
Spectral Unmixing via Data-guided Sparsity
Feiyun Zhu, Ying Wang, Bin Fan +3
Hyperspectral unmixing, the process of estimating a common set of spectral bases and their corresponding composite percentages at each pixel, is an important task for hyperspectral…
Second-Order Consensus of Networked Mechanical Systems With Communication Delays
Hanlei Wang, Long Cheng
In this paper, we consider the second-order consensus problem for networked mechanical systems subjected to nonuniform communication delays, and the mechanical systems are assumed…
Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves
Chun-Guo Li, Xing Mei, Bao-Gang Hu
Unsupervised ranking faces one critical challenge in evaluation applications, that is, no ground truth is available. When PageRank and its variants show a good solution in related…
Context-Aware Hypergraph Construction for Robust Spectral Clustering
Xi Li, Weiming Hu, Chunhua Shen +2
Spectral clustering is a powerful tool for unsupervised data analysis. In this paper, we propose a context-aware hypergraph similarity measure (CAHSM), which leads to robust spectr…