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公开(公告)号：US12136161B2
公开(公告)日：2024-11-05
申请号：US17899334
申请日：2022-08-30
Inventor： Yanlong Chang
Abstract: The present disclosure provides a method of processing an information, a method of rending an image, and an electronic device. A specific implementation solution may include: acquiring a target image obtained by rendering, wherein the target image contains one or more target parameter information corresponding to one or more rendering indexes respectively; generating a rendering code according to the target parameter information of the target image, wherein the rendering code is for rendering an image to be rendered; and transmitting the rendering code to a second electronic device.
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公开(公告)号：US12125224B2
公开(公告)日：2024-10-22
申请号：US17564626
申请日：2021-12-29
Inventor： Xibin Song , Liangjun Zhang
CPC classification number: G06T7/55 , G06V20/58 , G06V20/588 , G06T2207/10028
Abstract: Provided are a depth information processing method, an apparatus, and a storage medium, which relate to the field of image processing and, in particular, to computer vision, deep learning and autonomous driving. A specific implementation includes: determining intermediate depth information of a target scene according to sparse depth information of the target scene by a sub-model unit in a depth information supplementing model; and using intermediate depth information determined by a tail sub-model unit in the depth information supplementing model as dense depth information of the target scene.
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公开(公告)号：US12122369B2
公开(公告)日：2024-10-22
申请号：US17713424
申请日：2022-04-05
Inventor： Lantian Shangguan , Guibin Tian , Songtao Chang
CPC classification number: B60W30/09 , B60W60/0011 , G01C21/3415 , B60W2520/06 , B60W2554/802
Abstract: The present disclosure provides a route processing method and apparatus. The solution includes: acquiring an initial traveling route, which includes a plurality of track points, corresponding to a vehicle; determining a vehicle traveling area, which includes an area where the vehicle is located when traveling to the track point, corresponding to each track point; determining at least one target track point in the plurality of track points according to the vehicle traveling area, where a first obstacle exists in the vehicle traveling area; performing updating processing on a position of each target track point in the initial traveling route respectively according to the position of the each target track point and a position of the first obstacle, and obtaining a target traveling route according to the target track point for which the updating processing has been performed; and controlling the vehicle to travel according to the target traveling route.
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54.发明公开公开(公告)号：US20240338962A1
公开(公告)日：2024-10-10
申请号：US18747599
申请日：2024-06-19
Inventor： Haiwei WANG , Zhongwen ZHANG , Gang LI
IPC: G06V30/414 , G06V30/418
CPC classification number: G06V30/414 , G06V30/418
Abstract: The present disclosure provides an image based human-computer interaction method, which includes: acquiring a to-be-analyzed image, and determining image layout information and image content information of the to-be-analyzed image, where the to-be-analyzed image includes a variety of modal data, the image layout information represents distribution of image elements with preset granularity in the to-be-analyzed image, and the image content information represents a content expressed by the modal data in the to-be-analyzed image; and determining, in response to acquiring question information, response information corresponding to the question information according to the image layout information and the image content information, where the question information represents a question proposed by a user for the to-be-analyzed image, and the response information represents a reply answer corresponding to the question information. By extracting layout information and content information from an image, the accuracy of answering a question and user experience of human-computer interaction are improved.
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公开(公告)号：US12093297B2
公开(公告)日：2024-09-17
申请号：US17577561
申请日：2022-01-18
Inventor： Wenhao Wu , Wei Li , Xinyan Xiao , Jiachen Liu
CPC classification number: G06F16/345 , G06F40/51 , G06F40/56
Abstract: The present disclosure provides a summary generation model training method and apparatus, a device and a storage medium, and relates to the field of computer technologies, and in particular, to the field of artificial intelligence such as natural language processing and deep learning. The summary generation model training method includes: acquiring a document representation corresponding to a document sample; constructing, based on the document representation, a summary representation corresponding to the document representation, the summary representation including a positive summary representation and a negative summary representation; and constructing a total contrastive loss function based on the document representation, the positive summary representation and the negative summary representation, and training a summary generation model based on the total contrastive loss function. The present disclosure may improve accuracy of the summary generation model.
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Patent Agency Ranking
公开(公告)号：US20240303880A1
公开(公告)日：2024-09-12
申请号：US18020903
申请日：2022-07-25
Inventor： Zhanguo CHANG , Yi LV , Tiansheng DENG , Ting YUN
CPC classification number: G06T11/203 , G06T3/02 , G06T3/60 , G06T7/10 , G06T11/60
Abstract: A method of generating an image sample, which relates to a field of an artificial intelligence technology, in particular to fields of a deep learning technology and a computer vision technology. The method includes: generating a handwritten text image according to at least one handwritten sample image; and generating a target sample image with an annotation box according to the handwritten text image and a background image, where the annotation box is used to represent a region in which the handwritten text image is located in the background image. The present disclosure further provides a method of recognizing a text, an electronic device and a storage medium.
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公开(公告)号：US20240303774A1
公开(公告)日：2024-09-12
申请号：US18020918
申请日：2022-06-10
Inventor： Changyong SHU , Jiaming LIU , Zhibin HONG , Junyu HAN
CPC classification number: G06T5/50 , G06T5/60 , G06T7/40 , G06T7/55 , G06T7/90 , G06V40/172 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2207/20221 , G06T2207/30201
Abstract: A method of processing an image, an electronic device and a storage medium. The method includes: generating a to-be-processed image according to a first target image and a second target image, where an identity information of an object in the to-be-processed image is matched with an identity information of an object in the first target image; generating a set of disentangled images according to the second target image and the to-be-processed image, where the set of disentangled images includes a head-disentangled image and a disentangled repair image; and generating a fusion image according to the set of disentangled images, where an identity information and a texture information of an object in the fusion image are matched with the identity information and the texture information of the object in the to-be-processed image, respectively, and a to-be-repaired information related to the object in the fusion image is repaired.
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58.发明公开公开(公告)号：US20240303430A1
公开(公告)日：2024-09-12
申请号：US18667504
申请日：2024-05-17
Inventor： Meng TIAN , Lin YANG , Xinwei FENG , Zhifan FENG , Xiaopeng CUI , Qiaoqiao SHE , Hua WU
IPC: G06F40/20
CPC classification number: G06F40/20
Abstract: A technical solution for processing a model generation result, which relates to the field of artificial intelligence technologies is disclosed. An implementation includes: disassembling a text generation result of a generative large model to obtain a plurality of result logic units; wherein each result logic unit includes a segment in the text generation result; each segment is capable of independently identifying one premise or conclusion in a logical inference relationship of the text generation result; and the text generation result is a response result generated by the generative large model based on text input information; generating a logical inference graph capable of characterizing a logical inference relationship among the plurality of result logic units based on the plurality of result logic units; and determining whether logical inference of generation of the text generation result by the generative large model is correct or not based on the logical inference graph.
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公开(公告)号：US12086171B2
公开(公告)日：2024-09-10
申请号：US17812120
申请日：2022-07-12
Inventor： Yang Zhang , Shuangquan Yang , Lei Han , Keke Zhou , Yi Xie , Wei Zhou , Junyi Chen , Dongjian Shi , Guihua Bai , Xuan Li
IPC: G06F7/00 , G06F16/33 , G06F40/289
CPC classification number: G06F16/3344 , G06F16/3347 , G06F40/289
Abstract: A word mining method and apparatus, an electronic device and a readable storage medium are disclosed. The method includes: acquiring search data; taking first identification information, a search sentence and second identification information in the search data as nodes, and taking a relationship between the first identification information and the search sentence, a relationship between the first identification information and the second identification information and a relationship between the search sentence and the second identification information as sides to construct a behavior graph; obtaining a label vector of each search sentence in the behavior graph according to a search sentence with a preset label in the behavior graph; determining a target search sentence in the behavior graph according to the label vector; and extracting a target word from the target search sentence, and taking the target word as a word mining result of the search data.
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公开(公告)号：US20240281602A1
公开(公告)日：2024-08-22
申请号：US18651183
申请日：2024-04-30
Inventor： Yaqing WANG
IPC: G06F40/20
CPC classification number: G06F40/20
Abstract: A method of processing a text, a training method, a method of generating a knowledge graph, an electronic device, and a non-transitory computer-readable storage medium are provided, which relates to a field of artificial intelligence, particularly to fields such as deep learning, natural language processing, computer vision, and speech processing. The method of processing a text includes: encoding a text to be processed to obtain a feature information; identifying a plurality of entity information from the text, based on the feature information; generating a word relation tensor based on the feature information; and determining a relation between the plurality of entity information by using the word relation tensor, so as to generate a plurality of relational triplets related to the text.
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