Search Results - "Feng, Runyang"

2D Human pose estimation: a survey by Chen, Haoming, Feng, Runyang, Wu, Sifan, Xu, Hao, Zhou, Fengcheng, Liu, Zhenguang

“…Human pose estimation aims at localizing human anatomical keypoints or body parts in the input data ( e.g. , images, videos, or signals). It forms a crucial…”
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SIRT6 deficiency in endothelial cells exacerbates oxidative stress by enhancing HIF1α accumulation and H3K9 acetylation at the Ero1α promoter by Guo, Zhenyang, Yu, Xueting, Zhao, Shuang, Zhong, Xin, Huang, Dong, Feng, Runyang, Li, Peng, Fang, Zheyan, Hu, Yiqing, Zhang, Zhentao, Abdurahman, Mukaddas, Huang, Lei, Zhao, Yun, Wang, Xiangdong, Ge, Junbo, Li, Hua

“…Background SIRT6, an important NAD+‐dependent protein, protects endothelial cells from inflammatory and oxidative stress injuries. However, the role of SIRT6…”
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Transcriptomics, proteomics, metabolomics and network pharmacology reveal molecular mechanisms of multi‐targets effects of Shenxianshengmai improving human iPSC‐CMs beating by Hu, Yiqing, Chen, Lulan, Zhao, Shuang, Feng, Runyang, Cao, Xin, Chen, Geng, Zhao, Tao, Zhang, Chi, Fang, Zheyan, Guo, Zhenyang, Yu, Xueting, Zhang, Zhentao, Abdurahman, Mukaddas, Hong, Hangnan, He, Yue, Li, Hua

“…By using GSEA based on GO database (gGSEA), the activity of the three calcium-related pathways was found to increase (Figure 2A, p-value <0.05). Besides…”
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Multi‐omics analysis reveals the regulation of SIRT6 on protein processing of endoplasmic reticulum to alleviate oxidative stress in endothelial cells by Li, Peng, Guo, Zhenyang, Feng, Runyang, Wu, Na, Zhong, Xin, Fang, Zheyan, Hu, Yiqing, Yu, Xueting, Zhao, Shuang, Zhao, Gang, He, Yue, Li, Hua, Ge, Junbo

“…SEE PDF] In ER, SEC families and OSTc could transport proteins into ER, and PPI family, PDI family and ERO1a assist in protein folding. Besides them, CANX,…”
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GTF2H4 regulates partial EndMT via NF-κB activation through NCOA3 phosphorylation in ischemic diseases by Fang, Zheyan, Zhao, Gang, Zhao, Shuang, Yu, Xueting, Feng, Runyang, Zhang, You-en, Li, Haomin, Huang, Lei, Guo, Zhenyang, Zhang, Zhentao, Abdurahman, Mukaddas, Hong, Hangnan, Li, Peng, Wu, Bing, Zhu, Jinhang, Zhong, Xin, Huang, Dong, Lu, Hao, Zhao, Xin, Chen, Zhaoyang, Zhang, Wenbin, Guo, Junjie, Zheng, Hongchao, He, Yue, Qin, Shengying, Lu, Haojie, Zhao, Yun, Wang, Xiangdong, Ge, Junbo, Li, Hua

“…Partial endothelial-to-mesenchymal transition (EndMT) is an intermediate phenotype observed in endothelial cells (ECs) undergoing a transition toward a…”
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Deep Dual Consecutive Network for Human Pose Estimation by Liu, Zhenguang, Chen, Haoming, Feng, Runyang, Wu, Shuang, Ji, Shouling, Yang, Bailin, Wang, Xun

“…Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable…”
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Spatiotemporal Learning Transformer for Video-Based Human Pose Estimation by Gai, Di, Feng, Runyang, Min, Weidong, Yang, Xiaosong, Su, Pengxiang, Wang, Qi, Han, Qing

“…Multi-frame human pose estimation has long been an appealing and fundamental issue in visual perception. Owing to the frequent rapid motion and pose occlusion…”
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Personalized motion kernel learning for human pose estimation by Wang, Xue, Feng, Runyang, Chen, Haoming, Zimmermann, Roger, Liu, Zhenguang, Liu, Hengchang

“…Estimating human poses from a video is at the foundation of many visual intelligent systems. Various convolutional neural networks have been proposed,…”
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Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation by Liu, Zhenguang, Feng, Runyang, Chen, Haoming, Wu, Shuang, Gao, Yixing, Gao, Yunjun, Wang, Xiang

“…Multi-frame human pose estimation has long been a compelling and fundamental problem in computer vision. This task is challenging due to fast motion and pose…”
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Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video by Feng, Runyang, Gao, Yixing, Ma, Xueqing, Tse, Tze Ho Elden, Chang, Hyung Jin

“…Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods directly employ optical flow or deformable convolution to predict…”
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Joint-Motion Mutual Learning for Pose Estimation in Videos by Wu, Sifan, Chen, Haipeng, Yin, Yifang, Hu, Sihao, Feng, Runyang, Jiao, Yingying, Yang, Ziqi, Liu, Zhenguang

“…Human pose estimation in videos has long been a compelling yet challenging task within the realm of computer vision. Nevertheless, this task remains difficult…”
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DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation by Feng, Runyang, Gao, Yixing, Tse, Tze Ho Elden, Ma, Xueqing, Chang, Hyung Jin

“…Denoising diffusion probabilistic models that were initially proposed for realistic image generation have recently shown success in various perception tasks…”
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Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video by Feng, Runyang, Gao, Yixing, Ma, Xueqing, Tse, Tze Ho Elden, Chang, Hyung Jin

“…Temporal modeling is crucial for multi-frame human pose estimation. Most existing methods directly employ optical flow or deformable convolution to predict…”
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2D Human Pose Estimation: A Survey by Chen, Haoming, Feng, Runyang, Wu, Sifan, Xu, Hao, Zhou, Fengcheng, Liu, Zhenguang

“…Human pose estimation aims at localizing human anatomical keypoints or body parts in the input data (e.g., images, videos, or signals). It forms a crucial…”
Get full text

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation by Liu, Zhenguang, Feng, Runyang, Chen, Haoming, Wu, Shuang, Gao, Yixing, Gao, Yunjun, Wang, Xiang

“…Multi-frame human pose estimation has long been a compelling and fundamental problem in computer vision. This task is challenging due to fast motion and pose…”
Get full text

Deep Dual Consecutive Network for Human Pose Estimation by Liu, Zhenguang, Chen, Haoming, Feng, Runyang, Wu, Shuang, Ji, Shouling, Yang, Bailin, Wang, Xun

“…Multi-frame human pose estimation in complicated situations is challenging. Although state-of-the-art human joints detectors have demonstrated remarkable…”
Get full text