公开(公告)号：US20240176994A1

公开(公告)日：2024-05-30

申请号：US18551844

申请日：2021-07-26

申请人： QUALCOMM TECHNOLOGIES, INC.

发明人： Phillip LIPPE ,  Taco Sebastiaan COHEN ,  Efstratios GAVVES

IPC分类号： G06N3/0464 ,  G06N3/09

CPC分类号： G06N3/0464 ,  G06N3/09

摘要： A method for generating a causal graph includes receiving a data set including observation data and intervention data corresponding to multiple variables. A probability distribution is determined for each variable based on the observation data. A likelihood of including each edge in the graph is computed based on the probability distribution and the intervention data. Each edge is a causal connection between variables of the multiple variables. The graph is generated based on the likelihood of including each edge. The graph may be updated by iteratively repeating the determination of the probability distribution and the computing of the likelihood of including each edge.

公开(公告)号：US20230308666A1

公开(公告)日：2023-09-28

申请号：US17681675

申请日：2022-02-25

申请人： QUALCOMM Technologies, Inc.

发明人： Frank BRONGERS ,  Phillip LIPPE ,  Sara MAGLIACANE

IPC分类号： H04N19/20 ,  H04N19/436 ,  G06V20/40 ,  G06V10/776 ,  G06V10/82

CPC分类号： H04N19/20 ,  G06V10/776 ,  G06V10/82 ,  G06V20/41 ,  H04N19/436

摘要： A computer-implemented method for contrastive object representation from temporal data using an artificial neural network (ANN) includes receiving, by the ANN, a video. The video comprises a temporal sequence of frames including images of one or more objects. The ANN generates object representations corresponding to the one or more objects based on temporal data of multiple frames of the temporal sequence of frames. The object representations are communicated to a receiver.