Výsledky vyhledávání - "Zhang, Wenhu"

Akademický článek

Research on early fault intelligent diagnosis for oil-impregnated cage in space ball bearing

Autor: Liao, Hui, Xie, Pengfei, Deng, Sier, Zhang, Wenhu, Shi, Lei, Zhao, Sen, Wang, Hengdi

Publikováno v: In Expert Systems With Applications 15 March 2024 238 Part D

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VersatileGait: A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation

Autor: Zhang, Pengyi, Dou, Huanzhang, Zhang, Wenhu, Zhao, Yuhan, Li, Songyuan, Qin, Zequn, Li, Xi

Gait recognition has a rapid development in recent years. However, gait recognition in the wild is not well explored yet. An obvious reason could be ascribed to the lack of diverse training data from the perspective of intrinsic and extrinsic factors

Externí odkaz: http://arxiv.org/abs/2105.14421

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Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion

Autor: Sun, Peng, Zhang, Wenhu, Wang, Huanyu, Li, Songyuan, Li, Xi

RGB-D salient object detection (SOD) is usually formulated as a problem of classification or regression over two modalities, i.e., RGB and depth. Hence, effective RGBD feature modeling and multi-modal feature fusion both play a vital role in RGB-D SO

Externí odkaz: http://arxiv.org/abs/2103.11832

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VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios

Autor: Dou, Huanzhang, Zhang, Wenhu, Zhang, Pengyi, Zhao, Yuhan, Li, Songyuan, Qin, Zequn, Wu, Fei, Dong, Lin, Li, Xi

With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, which consists of around one million silhouette sequences of 11,000 subje

Externí odkaz: http://arxiv.org/abs/2101.01394

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