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Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare
Sijia Chen, Bin Song, Xiaojiang Du +1
Deep Models, typically Deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and co…
Super-Resolution of Brain MRI Images using Overcomplete Dictionaries and Nonlocal Similarity
Yinghua Li, Bin Song, Jie Guo +2
Recently, the Magnetic Resonance Imaging (MRI) images have limited and unsatisfactory resolutions due to various constraints such as physical, technological and economic considerat…
Attention-Mechanism-based Tracking Method for Intelligent Internet of Vehicles
Xu Kang, Bin Song, Jie Guo +2
Vehicle tracking task plays an important role on the internet of vehicles and intelligent transportation system. Beyond the traditional GPS sensor, the image sensor can capture dif…
Vehicle Tracking Using Surveillance with Multimodal Data Fusion
Yue Zhang, Bin Song, Xiaojiang Du +1
Vehicle location prediction or vehicle tracking is a significant topic within connected vehicles. This task, however, is difficult if only a single modal data is available, probabl…
Saliency deep embedding for aurora image search
Xi Yang, Xinbo Gao, Bin Song +2
Deep neural networks have achieved remarkable success in the field of image search. However, the state-of-the-art algorithms are trained and tested for natural images captured with…
FPAN: Fine-grained and Progressive Attention Localization Network for Data Retrieval
Sijia Chen, Bin Song, Jie Guo +2
The Localization of the target object for data retrieval is a key issue in the Intelligent and Connected Transportation Systems (ICTS). However, due to lack of intelligence in the…