-
公开(公告)号：US20230206121A1
公开(公告)日：2023-06-29
申请号：US18069822
申请日：2022-12-21
Inventor： Taisong Li , Minglei Li , Yiling Wu , Baoxing Huai , Jing Yuan
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A modal information completion method, an apparatus, and a device are provided. A completion apparatus first obtains a modal information group, wherein the modal information group includes at least two pieces of modal information. Then, the completion apparatus may determine, based on an attribute of the modal information group, whether a part or all of first modal information in the modal information group is missing. Subsequently, the completion apparatus determines a target feature vector of the first modal information based on a preset feature vector mapping relationship and a feature vector of second modal information in the modal information group, so that accuracy of the target feature vector of the first modal information is ensured.
-
公开(公告)号：US20240020482A1
公开(公告)日：2024-01-18
申请号：US18477082
申请日：2023-09-28
Inventor： Qi Chen , Yi Zheng , Peng Wang , Yu Wang , Minglei Li , Xinyu Duan , Jing Yuan , Baoxing Huai
Abstract: A corpus annotation apparatus obtains a corpus set provided by a user through a client, where the corpus set includes a plurality of semantic categories of corpuses that the user expects to annotate, determines a manual annotation corpus and an automatic annotation corpus falling within a target semantic category in the corpus set, obtains a manual annotation result of the manual annotation corpus, and automatically annotates the automatic annotation corpus based on the manual annotation result of the manual annotation corpus. The manual annotation result and an automatic annotation result that correspond to the automatic annotation corpus are used as training data to train an inference model.
-
公开(公告)号：US20250056102A1
公开(公告)日：2025-02-13
申请号：US18928653
申请日：2024-10-28
Inventor： Zhiyi Chen , Minglei Li , Yan Cao , Baoxing Huai
IPC: H04N21/81 , G06T13/40 , G06V10/764
Abstract: The application discloses a virtual human video generation method and apparatus. The method includes: obtaining a driving text; obtaining, based on the driving text and an action annotation of a first video, an action type corresponding to the driving text, where the action annotation includes a plurality of action types of a character in the first video; extracting, from the first video based on the action type, an action representation corresponding to the driving text; and generating a virtual human video based on the action representation. According to this application, the virtual human video in which the action of the character is accurate, controllable, and compliant with a preset action specification can be automatically generated, and personalized customization of an action of a virtual human can be implemented by adjusting the action specification.
-
公开(公告)号：US20220284060A1
公开(公告)日：2022-09-08
申请号：US17750508
申请日：2022-05-23
Inventor： Dongcai Lu , Yuanzhen Liu , Yi Zheng , Jing Yuan , Baoxing Huai
IPC: G06F16/9032 , G06N5/02
Abstract: A question answering method based on a knowledge graph are disclosed, including: After obtaining a first natural query statement including a first query entity and first entity characteristic information, the terminal queries the knowledge graph based on the first query entity and the first entity characteristic information, to obtain a first result. The terminal obtains a second natural query statement after outputting the first result. The terminal determines a missing part in the second natural query statement based on the first query entity or the first entity characteristic information. The terminal queries the knowledge graph based on the missing part in the second natural query statement to obtain a second result, and outputs the second result.
-
-
-
Search Results
4
records
(took 0.017 seconds)
