2.7k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- B. Little2 profiles36 · h 68
- D. Moss2 profiles35 · h 76
- S. Chu3 profiles35 · h 54
- Xingyuan Xu2 profiles35 · h 37
- R. Morandotti2 profiles33 · h 83
- Jiayang Wu2 profiles30 · h 56
- Xuelong Li2 profiles30 · h 135
- A. Mitchell2 profiles25 · h 71
- M. Tan24 · h 32
- T. Nguyen20 · h 35
- Xiaoqiang Lu13 · h 63
- Jianhua Zeng12 · h 21
- Chinese Academy of SciencesCN74 papers
- State Key Laboratory of Transient Optics and Photonics46 papers
- City University of Hong KongHK45 papers
- University of Chinese Academy of SciencesCN44 papers
- Institut National de la Recherche ScientifiqueCA40 papers
- Swinburne University of TechnologyAU40 papers
- RMIT UniversityAU35 papers
- University of Electronic Science and Technology of ChinaCN26 papers
- Monash UniversityAU18 papers
- ITMO UniversityRU15 papers
- Northwestern Polytechnical UniversityCN15 papers
- Tianjin UniversityCN9 papers
6 papers · 2 filters
Constrained Low-Rank Learning Using Least Squares-Based Regularization
Ping Li, Jun Yu, Meng Wang +3
Low-rank learning has attracted much attention recently due to its efficacy in a rich variety of real-world tasks, e.g., subspace segmentation and image categorization. Most low-ra…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…
Convolution in Convolution for Network in Network
Yanwei Pang, Manli Sun, Xiaoheng Jiang +1
Network in Netwrok (NiN) is an effective instance and an important extension of Convolutional Neural Network (CNN) consisting of alternating convolutional layers and pooling layers…
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang, Yanwei Pang, Manli Sun +1
Conventional Convolutional Neural Networks (CNNs) use either a linear or non-linear filter to extract features from an image patch (region) of spatial size (Typically…
Learning Multilayer Channel Features for Pedestrian Detection
Jiale Cao, Yanwei Pang, Xuelong Li
Pedestrian detection based on the combination of Convolutional Neural Network (i.e., CNN) and traditional handcrafted features (i.e., HOG+LUV) has achieved great success. Generally…
A survey of sparse representation: algorithms and applications
Zheng Zhang, Yong Xu, Jian Yang +2
Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision and pattern recognition. Sparse representation…