1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Zhejiang UniversityCN172 papers
- Baylor UniversityUS144 papers
- Chinese Academy of SciencesCN67 papers
- University of Science and Technology of ChinaCN66 papers
- Zhejiang University of Science and TechnologyCN63 papers
- Shanghai Jiao Tong UniversityCN52 papers
- National University of Sciences and TechnologyPK42 papers
- Peking UniversityCN40 papers
- Nanjing UniversityCN39 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN35 papers
- State Key Laboratory of Modern Optical InstrumentsCN35 papers
- Zhejiang LabCN35 papers
5 papers · 2 filters
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter
Kun Qian, Jun Zhou, Fengchao Xiong +2
Target tracking in hyperspectral videos is a new research topic. In this paper, a novel method based on convolutional network and Kernelized Correlation Filter (KCF) framework is p…
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint
Miaopeng Li, Zimeng Zhou, Jie Li +1
In this work, we propose a new method for multi-person pose estimation which combines the traditional bottom-up and the top-down methods. Specifically, we perform the network feed-…
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Zhou Yu, Jun Yu, Chenchao Xiang +3
Visual grounding aims to localize an object in an image referred to by a textual query phrase. Various visual grounding approaches have been proposed, and the problem can be modula…
Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection
Dayan Guan, Yanpeng Cao, Jun Liang +2
Multispectral pedestrian detection has received extensive attention in recent years as a promising solution to facilitate robust human target detection for around-the-clock applica…
Spectral Image Visualization Using Generative Adversarial Networks
Siyu Chen, Danping Liao, Yuntao Qian
Spectral images captured by satellites and radio-telescopes are analyzed to obtain information about geological compositions distributions, distant asters as well as undersea terra…