Výsledky vyhledávání - "Lin Shengjie"

Akademický článek

Field Patch Extraction Based on High-Resolution Imaging and U2-Net++ Convolutional Neural Networks

Autor: Chen Long, Song Wenlong, Sun Tao, Lu Yizhu, Jiang Wei, Liu Jun, Liu Hongjie, Feng Tianshi, Gui Rongjie, Haider Abbas, Meng Lingwei, Lin Shengjie, He Qian

Publikováno v: Remote Sensing, Vol 15, Iss 20, p 4900 (2023)

Accurate extraction of farmland boundaries is crucial for improving the efficiency of farmland surveys, achieving precise agricultural management, enhancing farmers’ production conditions, protecting the ecological environment, and promoting local

Externí odkaz: https://doaj.org/article/7b0b73aa94704213af10b9ae91ae00cd

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Transcrib3D: 3D Referring Expression Resolution through Large Language Models

Autor: Fang, Jiading, Tan, Xiangshan, Lin, Shengjie, Vasiljevic, Igor, Guizilini, Vitor, Mei, Hongyuan, Ambrus, Rares, Shakhnarovich, Gregory, Walter, Matthew R

If robots are to work effectively alongside people, they must be able to interpret natural language references to objects in their 3D environment. Understanding 3D referring expressions is challenging -- it requires the ability to both parse the 3D s

Externí odkaz: http://arxiv.org/abs/2404.19221

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Statler: State-Maintaining Language Models for Embodied Reasoning

Autor: Yoneda, Takuma, Fang, Jiading, Li, Peng, Zhang, Huanyu, Jiang, Tianchong, Lin, Shengjie, Picker, Ben, Yunis, David, Mei, Hongyuan, Walter, Matthew R.

There has been a significant research interest in employing large language models to empower intelligent robots with complex reasoning. Existing work focuses on harnessing their abilities to reason about the histories of their actions and observation

Externí odkaz: http://arxiv.org/abs/2306.17840

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NeRFuser: Large-Scale Scene Representation by NeRF Fusion

Autor: Fang, Jiading, Lin, Shengjie, Vasiljevic, Igor, Guizilini, Vitor, Ambrus, Rares, Gaidon, Adrien, Shakhnarovich, Gregory, Walter, Matthew R.

A practical benefit of implicit visual representations like Neural Radiance Fields (NeRFs) is their memory efficiency: large scenes can be efficiently stored and shared as small neural nets instead of collections of images. However, operating on thes

Externí odkaz: http://arxiv.org/abs/2305.13307

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Akademický článek

Aqueous heterogeneous synthesis of polysubstituted 2,6-dicyanoanilines via combined microwave and ultrasound-assisted multicomponent reaction

Autor: Feng Huangdi, Lin Shengjie, Wang Jiayi, Song Gonghua, Peng Yanqing

Publikováno v: Green Processing and Synthesis, Vol 1, Iss 5, Pp 463-468 (2012)

A series of polysubstituted 3-aryl-2,6-dicyanoaniline derivatives were synthesized by one-pot multicomponent heterogeneous domino reaction of aromatic aldehyde, malononitrile and cyclic ketone under combined microwave and ultrasound irradiation in wa

Externí odkaz: https://doaj.org/article/0859517bf65f49ceabae196993f621da

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