748 citations
- Chinese Academy of SciencesCN107 papers
- Xiamen University of TechnologyCN72 papers
- University of Chinese Academy of SciencesCN71 papers
- Institute of Theoretical PhysicsCN67 papers
- Nanjing UniversityCN59 papers
- National Astronomical ObservatoriesCN55 papers
- Peking UniversityCN47 papers
- University of Science and Technology of ChinaCN44 papers
- Purple Mountain ObservatoryCN40 papers
- Tsinghua UniversityCN37 papers
- Shanghai Astronomical ObservatoryCN36 papers
- Centre National de la Recherche ScientifiqueFR32 papers
26 papers · 2 filters
Hierarchical Representation via Message Propagation for Robust Model Fitting
Shuyuan Lin, Xing Wang, Guobao Xiao +2
In this paper, we propose a novel hierarchical representation via message propagation (HRMP) method for robust model fitting, which simultaneously takes advantages of both the cons…
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
Lijian Lin, Haosheng Chen, Yanjie Liang +2
In recent years, Convolutional Neural Network (CNN) based trackers have achieved state-of-the-art performance on multiple benchmark datasets. Most of these trackers train a binary…
Dual Semantic Fusion Network for Video Object Detection
Lijian Lin, Haosheng Chen, Honglun Zhang +4
Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feat…
Binarized Neural Architecture Search for Efficient Object Recognition
Hanlin Chen, Li'an Zhuo, Baochang Zhang +5
Traditional neural architecture search (NAS) has a significant impact in computer vision by automatically designing network architectures for various tasks. In this paper, binarize…
Anti-Bandit Neural Architecture Search for Model Defense
Hanlin Chen, Baochang Zhang, Song Xue +4
Deep convolutional neural networks (DCNNs) have dominated as the best performers in machine learning, but can be challenged by adversarial attacks. In this paper, we defend against…
Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation
Pingyang Dai, Peixian Chen, Qiong Wu +4
Unsupervised domain adaptation (UDA) aims to address the domain-shift problem between a labeled source domain and an unlabeled target domain. Many efforts have been made to address…