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20162019
most citedInterest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation

1 citations · 1 across the 4 of their papers we have counts for

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7 papers · 1 filter

cs.CV2019

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…

cs.CV2019

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…