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Appearance-based human re-identification is challenging due to different camera characteristics, varying lighting conditions, pose variations across camera views, etc. Recent studies have revealed that color information plays a critical role on performance. However, two problems remain unclear: (1) how do different color descriptors perform under the same(More)
—One impressive advantage of convolutional neural networks (CNNs) is their ability to automatically learn feature representation from raw pixels, eliminating the need for hand-designed procedures. However, recent methods for single image super-resolution (SR) fail to maintain this advantage. They utilize CNNs in two decoupled steps, i.e., first upsampling(More)
User cooperation provides transmit diversity even when mobile users cannot possess multiple antennas due to size constraints. Recently, a kind of user cooperation scheme called coded cooperation was proposed, in which standard channel coding methods were used to implement cooperation. This scheme achieves remarkable gains compared to non-cooperative system(More)
A motion panorama is an efficient and compact representation of the underlying video. However, the motion panorama construction process is computationally intensive and hence extremely time consuming. Addressing this issue is crucial when one considers using motion panoramas in a real-time environment such as live video transmission. We present two parallel(More)
Connected Dominating Set Problem is a fundamental problem in connected facility location and studied intensively in computer science and operations research and it is also a central problem in wireless networking. Maximum Leaf Spanning Tree Problem (MLSTP) is related with investigating scale-free networks. We investigate the collapse of graphs since(More)