Jiabao Wang

Learn More
Recent works have demonstrated that image descriptors produced by convolutional feature maps provide state-of-the-art performance for image retrieval and classification problems. However, features from a single convolutional layer are not robust enough for shape deformation, scale variation, and heavy occlusion. In this letter, we present a simple and(More)
A full-length abscisic acid (ABA) senescence and ripening inducible gene named LcAsr was obtained from litchi. Bioinformatic analysis showed that full-length LcAsr was 1,177 bp and contained an open reading frame (ORF) encoding 153 amino acids, 85- and 146-bp 5′ and 3′ UTRs, respectively. LcAsr was expressed in all organs, with preferential expression in(More)
In this paper, a fast optimization algorithm was proposed to learn the Non-Convex Linear Support Vector Machines (LSVM-NC) based on stochastic optimization, in which the non-convex function, Ramp Loss, was used to suppress the influence of noisy data in the case of large-scale learning problems. As for solving the non-convex linear SVMs, the traditional(More)
Content-based image retrieval (CBIR) is an effective approach for obtaining desired image, however, due to the semantic gap between low-level visual features and high-level concept of image, CBIR system of state-of-the-art always can’t achieve satisfying retrieval performance. In this paper, we propose a novel CBIR system framework. In order to(More)
Robust scale calculation is a challenging problem in visual tracking. Most existing trackers fail to handle large scale variations in complex videos. To address this issue, we propose a robust and efficient scale calculation method in tracking-by-detection framework, which divides the target into four patches and computes the scale factor by finding the(More)
Centralized charging of electric vehicles (EVs) based on battery swapping is a promising strategy for their large-scale utilization in power systems. The most outstanding feature of this strategy is that EV batteries can be replaced within a short time and can be charged during off-peak periods or on low electric price and scheduled in any battery swap(More)
During the last years, Automatic video analysis has become a very important research for video management, such as video index and video retrieval. The application domains are disparate, ranging from video surveillance to automatic video annotation for sport videos or TV shots. Whatever the application field, most of the works in video analysis are based on(More)
Night image enhancement is an active research area nowadays. There have been a lot of techniques proposed in this area. In this paper, we present a contrast enhancement method base on Adaptive Dynamic Histogram Equalization (ADHE) for night vision image. The ADHE firstly decomposed an input image into two subimages based on the energy threshold of the input(More)