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您的检索式：作者名="Guan Shourui"
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| 1 | Relationship between components of inclusion and hydrocarbon accumulation in the Yunlong Depression,Chuxiong Basin显示文摘The Yunlong Depression, Chuxiong Basin, Yunnan Province, southwest China is one of the least explored areas in China. A RAMANOR-U1000 laser Raman probe was used to investigate the gas phase and liquid phase components in 28 inclusions from outcrop and core in the Yunlong Depression. An investigation into hydrocarbon prospect and accumulation characteristics in the study area was performed by studying inclusion components. Oil and gas are the richest in the Devonian according to the organic inclusion content, which supports the prior research f indings with conventional methods. Multi-time accumulation of oil and gas in the study area was also recognized through analysis of inclusion components. This study could provide a reference for the exploration of oil and gas in this area. | Xie Qingbin Guan Shourui Jiao Daqing Geng Huiju | 2008 | Petroleum Science2008，5，4： | 1 |
| 2 | Semantics-aware transformer for 3D reconstruction from binocular images显示文摘Existing multi-view three-dimensional(3 D) reconstruction methods can only capture single type of feature from input view, failing to obtain fine-grained semantics for reconstructing the complex shapes. They rarely explore the semantic association between input views, leading to a rough 3 D shape. To address these challenges, we propose a semantics-aware transformer(SATF) for 3 D reconstruction. It is composed of two parallel view transformer encoders and a point cloud transformer decoder, and takes two red, green and blue(RGB) images as input and outputs a dense point cloud with richer details. Each view transformer encoder can learn a multi-level feature, facilitating characterizing fine-grained semantics from input view. The point cloud transformer decoder explores a semantically-associated feature by aligning the semantics of two input views, which describes the semantic association between views. Furthermore, it can generate a sparse point cloud using the semantically-associated feature. At last, the decoder enriches the sparse point cloud for producing a dense point cloud with richer details. Extensive experiments on the Shape Net dataset show that our SATF outperforms the state-of-the-art methods. | JIA Xin YANG Shourui GUAN Diyi | 2022 | Optoelectronics Letters2022，18，5： | 1 |
| 3 | Congratulation on the 60^(th) anniversary of the China University of Petroleum with publication of Sedimentology of China (Second Edition)显示文摘For the last 4-5 years,we,the editors of the Journal of Palaeogeo graphy(in Chinese)and the Journal of Palaeogeography(in English),and the teachers from College of Geosciences,China University of Petroleum(Beijing)altogether,taking spare time after our routine editing and teaching work,participated in the designation,organization,writing,editing and revision processes of the Sedimentology of China(Second Edition).We put great efforts into this great work which represents the latest research results of various domains of sedimentology in China.We specially published | Feng Zengzhao Bao Zhidong Zheng Xiujuan Zhu Xiaomin Jin Zhenkui Ji Hancheng Guan Shourui Wang Yuan Zhang Xijuan Li Xinpo Wu Xiaoming Liu Min Hu Xiufang | 2013 | Journal of Palaeogeography2013，2，4： | 0 |
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