1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tsinghua UniversityCN67 papers
- Tsinghua–Berkeley Shenzhen InstituteCN23 papers
- Harbin Institute of TechnologyCN10 papers
- Peng Cheng LaboratoryCN6 papers
- University College LondonGB5 papers
- Chinese Academy of SciencesCN4 papers
- Hong Kong University of Science and TechnologyHK4 papers
- Peking UniversityCN4 papers
- University of California San DiegoUS4 papers
- Collaborative Innovation Center of Quantum MatterCN3 papers
- Nankai UniversityCN3 papers
- Shandong UniversityCN3 papers
7 papers · 2 filters
The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features
Yongpei Zhu, Zicong Zhou, Guojun Liao +2
Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a diffcult task due to different types of brain abnormalities. Using information and features from multi…
FPGA-based Acceleration System for Visual Tracking
Ke Song, Chun Yuan, Peng Gao +1
Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-tim…
Efficient Multi-level Correlating for Visual Tracking
Yipeng Ma, Chun Yuan, Peng Gao +1
Correlation filter (CF) based tracking algorithms have demonstrated favorable performance recently. Nevertheless, the top performance trackers always employ complicated optimizatio…
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network
Liping Zhang, Zongqing Lu, Qingmin Liao
The convolutional neural network model for optical flow estimation usually outputs a low-resolution(LR) optical flow field. To obtain the corresponding full image resolution,interp…
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
Yuan Yuan, Siyuan Liu, Jiawei Zhang +3
We consider the single image super-resolution problem in a more general case that the low-/high-resolution pairs and the down-sampling process are unavailable. Different from tradi…
Deep Learning for Single Image Super-Resolution: A Brief Review
Wenming Yang, Xuechen Zhang, Yapeng Tian +2
Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, which aims to obtain a high-resolution (HR) output from one of its low-resolution (LR) versions…
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
Jun Xu, Wangpeng An, Lei Zhang +1
The use of sparse representation (SR) and collaborative representation (CR) for pattern classification has been widely studied in tasks such as face recognition and object categori…