—Aiming to improve recognition rate, we propose a novel flower recognition system that automatically expands the training data from large-scale unlabeled image pools without hum...
—Compressed sensing utilizes the sparsity of Magnetic resonance (MR) images to obtain accurate reconstructions from undersampled k-space data. In this paper, a novel nonlocal dyn...
—In this paper, Apache Spark, the rising big data processing tool with in-memory computing ability, is explored to address the task of large-scale human action recognition. To ac...
Motion segmentation relies on identifying coherent relationships between image pixels that are associated with motion vectors. However, perspective differences can often deterior...
Dong Tian, Jiun-Yu Kao, Hassan Mansour, Anthony Ve...
How to measure the perceptual quality of depth information in stereoscopic natural images, especially images undergoing different types of symmetric and asymmetric distortions, is...
Currently, computer vision applications are becoming more common on mobile devices due to the constant increase in raw processing power coupled with extended battery life. The Open...
Contextual information of the listener is only slowly being integrated into music retrieval and recommendation systems. Given the enormous rise in mobile music consumption and the ...
Lifelogging is becoming widely deployed outside the scope of solipsistic self quantification. In elite sport, the ability to utilize these digital footprints of athletes for sport...
Abstract. With the increase of mobile computation ability and the development of wireless network transmission technology, mobile devices not only are the important tools of person...
Zhuo Wei, Robert H. Deng, Jialie Shen, Jixiang Zhu...