Search Results - "Zhang, QieShi"

Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition by Cheng, Qin, Cheng, Jun, Ren, Ziliang, Zhang, Qieshi, Liu, Jianming

“…The skeleton data convey significant information for action recognition since they can robustly against cluttered backgrounds and illumination variation. In…”
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Multi-modality learning for human action recognition by Ren, Ziliang, Zhang, Qieshi, Gao, Xiangyang, Hao, Pengyi, Cheng, Jun

“…The multi-modality based human action recognition is an increasing topic. Multi-modality can provide more abundant and complementary information than single…”
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Editorial: Neuroscience-driven visual representation by Li, Teng, Zhang, Qieshi, Nian, Fudong, Shan, Caifeng

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Convolutional non‐local spatial‐temporal learning for multi‐modality action recognition by Ren, Ziliang, Yuan, Huaqiang, Wei, Wenhong, Zhao, Tiezhu, Zhang, Qieshi

“…Traditional deep convolutional networks have shown that both RGB and depth are complementary for video action recognition. However, it is difficult to enhance…”
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VRR-Net: Learning Vehicle–Road Relationships for Vehicle Trajectory Prediction on Highways by Zhan, Tingzhang, Zhang, Qieshi, Chen, Guangxi, Cheng, Jun

“…Vehicle trajectory prediction is an important decision-making and planning basis for autonomous driving systems that enables them to drive safely and…”
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ASENN: attention-based selective embedding neural networks for road distress prediction by Philip, Babitha, Xu, Zhenyu, AlJassmi, Hamad, Zhang, Qieshi, Ali, Luqman

“…This study proposes an innovative neural network framework, ASENN (Attention-based Selective Embedding Neural Network), for the prediction of pavement…”
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Depth estimation for advancing intelligent transport systems based on self‐improving pyramid stereo network by Yanling Tian, Yubo Du, Qieshi Zhang, Jun Cheng, Zhuo Yang

“…In autonomous driving, stereo vision‐based depth estimation technology can help to estimate the distance of obstacles accurately, which is crucial for…”
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Segment differential aggregation representation and supervised compensation learning of ConvNets for human action recognition by Ren, ZiLiang, Zhang, QieShi, Cheng, Qin, Xu, ZhenYu, Yuan, Shuai, Luo, DeLin

“…With more multi-modal data available for visual classification tasks, human action recognition has become an increasingly attractive topic. However, one of the…”
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Multi-scale and attention enhanced graph convolution network for skeleton-based violence action recognition by Yang, Huaigang, Ren, Ziliang, Yuan, Huaqiang, Wei, Wenhong, Zhang, Qieshi, Zhang, Zhaolong

“…Graph convolution networks (GCNs) have been widely used in the field of skeleton-based human action recognition. However, it is still difficult to improve…”
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Interactive Learning of a Dual Convolution Neural Network for Multi-Modal Action Recognition by Li, Qingxia, Gao, Dali, Zhang, Qieshi, Wei, Wenhong, Ren, Ziliang

“…RGB and depth modalities contain more abundant and interactive information, and convolutional neural networks (ConvNets) based on multi-modal data have…”
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Cognition-Based Context-Aware Cloud Computing for Intelligent Robotic Systems in Mobile Education by Zheng, Jianbo, Zhang, Qieshi, Xu, Shihao, Peng, Hong, Wu, Qin

“…At present, artificial intelligence (AI) has made considerable progress in recognition of speech, face, and emotion. Potential application to robots could…”
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GPU Accelerated Polar Harmonic Transforms for Feature Extraction in ITS Applications by Yang, Zhuo, Tang, Mingkai, Li, Zhuozhang, Ren, Ziliang, Zhang, Qieshi

“…Polar Harmonic Transform (PHT) is termed to represent a set of transforms those kernels are basic waves and harmonic in nature, which can improve the effect in…”
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Multi-Scale Dilated Convolution Network Based Depth Estimation in Intelligent Transportation Systems by Tian, Yanling, Zhang, Qieshi, Ren, Ziliang, Wu, Fuxiang, Hao, Pengyi, Hu, Jinglu

“…Vision based depth estimation plays a significant role in Intelligent Transportation Systems (ITS) because of its low cost and high efficiency, which can be…”
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A novel color space based on RGB color barycenter by Qieshi Zhang, Kamata, Sei-ichiro

“…Color space is one of the bases in the image processing area. Suitable color space can give the suitable description of colors for variant processing. However,…”
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Fisheye Image Correction Based on Straight-Line Detection and Preservation by Qieshi Zhang, Kamata, Sei-Ichiro

“…Fisheye lenses are widely used when the users want to capture the image/video with wide field of view (FoV) which is particularly suited to surveillance…”
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Adaptive sampling and wavelet tree based compressive sensing for MRI reconstruction by Qieshi Zhang, Jun Zhang, Kamata, Sei-ichiro

“…Magnetic Resonance Imaging (MRI) has been widely used in medical diagnose because of its non-invasive manner and excellent depiction of soft-tissue changes…”
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Automatic road sign detection method based on Color Barycenters Hexagon model by Qieshi Zhang, Kamata, S.-i.

“…Road sign detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a novel model based on Color…”
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Cross-Modality Compensation Convolutional Neural Networks for RGB-D Action Recognition by Cheng, Jun, Ren, Ziliang, Zhang, Qieshi, Gao, Xiangyang, Hao, Fusheng

“…RGB-D-based human action recognition has attracted much attention recently because it can provide more complementary information than a single modality…”
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BDR6D: Bidirectional Deep Residual Fusion Network for 6D Pose Estimation by Liu, Penglei, Zhang, Qieshi, Cheng, Jun

“…Six-dimensional (6D) pose estimation is an important branch in the field of robotics focused on enhancing the ability of robots to manipulate and grasp…”
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Class-Irrelevant Feature Removal for Few-Shot Image Classification by Hao, Fusheng, Liu, Liu, Wu, Fuxiang, Zhang, Qieshi, Cheng, Jun

“…Most existing few-shot image classification methods employ global pooling to aggregate class-relevant local features in a data-drive manner. Due to the…”
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