M
Meijun Sun
Researcher at Tianjin University
Publications - 49
Citations - 641
Meijun Sun is an academic researcher from Tianjin University. The author has contributed to research in topics: Computer science & Feature (computer vision). The author has an hindex of 10, co-authored 39 publications receiving 462 citations.
Papers
More filters
Journal ArticleDOI
A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos
TL;DR: Experimental results show that the proposed model outperforms five other state-of-the-art video saliency detection approaches and the proposed framework is found useful for other video content based applications such as video highlights.
Journal ArticleDOI
Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis
Tong Qiao,Jinchang Ren,Zheng Wang,Jaime Zabalza,Meijun Sun,Huimin Zhao,Shutao Li,Jon Atli Benediktsson,Qingyun Dai,Stephen Marshall +9 more
TL;DR: It has been proven that the proposed method is able to remove the undesirable artifacts introduced during the data acquisition process, and it has been shown that the classification performance is comparable with several recent spectral-spatial classification methods.
Journal ArticleDOI
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
TL;DR: This work proposes a novel and efficient video eye fixation detection model that outperforms all 11 state-of-the-art methods across a number of publicly available datasets by combining the memory Information on the time axis with the motion information on the space axis while storing the saliency information of the current frame.
Journal ArticleDOI
How to predict the sugariness and hardness of melons: A near-infrared hyperspectral imaging method.
TL;DR: Experimental results for the three types of melons show that PLSR produces the most accurate results.
Journal ArticleDOI
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral–Spatial Classification of Hyperspectral Images
Faxian Cao,Zhijing Yang,Jinchang Ren,Wing-Kuen Ling,Huimin Zhao,Meijun Sun,Jon Atli Benediktsson +6 more
TL;DR: Experimental results demonstrate that the proposed methodology outperforms ELM and also a number of state-of-the-art approaches and the lower bound of the proposed method is derived by a rigorous mathematical proof.