公开(公告)号：US20230281885A1

公开(公告)日：2023-09-07

申请号：US17685278

申请日：2022-03-02

Applicant: QUALCOMM Incorporated

Inventor： Hyunsin PARK ,  Juntae LEE ,  Simyung CHANG ,  Byeonggeun KIM ,  Jaewon CHOI ,  Kyu Woong HWANG

IPC: G06T11/00 ,  G06V40/18 ,  G06F3/01 ,  G06V40/16

CPC classification number: G06T11/00 ,  G06F3/013 ,  G06V40/174 ,  G06V40/18

Abstract: Imaging systems and techniques are described. An imaging system receives image data representing at least a portion (e.g., a face) of a first user as captured by a first image sensor. The imaging system identifies that a gaze of the first user as represented in the image data is directed toward a displayed representation of at least a portion (e.g., a face) of a second user. The imaging system identifies an arrangement of representations of users for output. The imaging system generates modified image data based on the gaze and the arrangement at least in part by modifying the image data to modify at least the portion of the first user in the image data to be visually directed toward a direction corresponding to the second user based on the gaze and the arrangement. The imaging system outputs the modified image data arranged according to the arrangement.

公开(公告)号：US20250068662A1

公开(公告)日：2025-02-27

申请号：US18454456

申请日：2023-08-23

Applicant: QUALCOMM Incorporated

Inventor： Seokeon CHOI ,  Juntae LEE ,  Jaewon CHOI

IPC: G06F16/33

Abstract: Various embodiments include systems and methods for generating a privacy-aware multi-modal autoreply to an incoming communication. A processing system of a computing device may collect multi-modal information, determine a current user circumstance based on the collected information, determine a user privacy preference for autoreply responses, and generate a prompt that is input to a generative large language model (LLM) to generate optional autoreply responses, receive a list of personalized response suggestions from the generative LLM, and perform an autoreply action based on a selected personalized response suggestion.

公开(公告)号：US20240045782A1

公开(公告)日：2024-02-08

申请号：US17818064

申请日：2022-08-08

Applicant: QUALCOMM Incorporated

Inventor： Sungrack YUN ,  Hyoungwoo PARK ,  Seunghan YANG ,  Hyesu LIM ,  Taekyung KIM ,  Jaewon CHOI ,  Kyu Woong HWANG

IPC: G06F11/34

CPC classification number: G06F11/3438 ,  G06F2201/81

Abstract: Embodiments include methods performed by a processor of a computing device for suggesting more efficient action sequences to a user. The methods may include recognizing a user action sequence including one or more user actions performed by the user to achieve a result, determining a first difficulty rating of the user action sequence, determining whether a cluster of multiple system action sequences exists within a cluster database in which each system action sequence of the one or more system action sequences produces the result. Methods may further include comparing the first difficulty rating to one or more difficulty ratings of the one or more system action sequences in response to determining that the cluster of multiple system action sequences exists within the cluster database, and displaying, via a display interface of the computing device, one or more system action sequences with a lower difficulty rating than the first difficulty rating.

公开(公告)号：US20230081012A1

公开(公告)日：2023-03-16

申请号：US17474679

申请日：2021-09-14

Applicant: QUALCOMM Incorporated

Inventor： Kyu Woong HWANG ,  Sungrack YUN ,  Jaewon CHOI ,  Seunghan YANG ,  Janghoon CHO ,  Hyoungwoo PARK ,  Hanul KIM

IPC: H04W12/02 ,  H04W64/00 ,  G06F21/62

Abstract: Embodiments include methods of assisting a user in locating a mobile device executed by a processor of the mobile device. Various embodiments may include a processor of a mobile device obtaining information useful for locating the mobile device from a sensor of the mobile device configured to obtain information regarding surroundings of the mobile device, anonymizing the obtained information to remove private information, and uploading the anonymized information to a remote server in response to determining that the mobile device may be misplaced. Anonymizing the obtained information may include removing speech from an audio input and compiling samples of ambient noise for inclusion in the anonymized information. Anonymizing the obtained information to remove private information includes editing an image captured by the mobile device to make images of detected individuals unrecognizable.

公开(公告)号：US20220318633A1

公开(公告)日：2022-10-06

申请号：US17705248

申请日：2022-03-25

Applicant: QUALCOMM Incorporated

Inventor： Jangho KIM ,  Simyung CHANG ,  Hyunsin PARK ,  Juntae LEE ,  Jaewon CHOI ,  Kyu Woong HWANG

IPC: G06N3/08 ,  G06N3/04

Abstract: A processor-implemented method for compressing a deep neural network model includes receiving an initial neural network model. The initial neural network is pruned based on a first threshold to generate a pruned network and a set of pruned weights. A quantization process is applied to the pruned network to produce a pruned and quantized network. A teacher model is generated by incorporating the pruned set of weights with the pruned network. In addition, an initial student model is generated from the quantized and pruned network. The initial student model is trained using the teacher model to output a trained student model.

公开(公告)号：US20220121949A1

公开(公告)日：2022-04-21

申请号：US17506646

申请日：2021-10-20

Applicant: QUALCOMM Incorporated

Inventor： Simyung CHANG ,  Jangho KIM ,  Hyunsin PARK ,  Juntae LEE ,  Jaewon CHOI ,  Kyu Woong HWANG

IPC: G06N3/08 ,  G06K9/62

Abstract: A method for generating a personalized model includes receiving one or more personal data samples from a user. A prototype of a personal identity is generated based on the personal data samples. The prototype of the personal identity is trained to reflect personal characteristics of the user. A network graph is generated based on the prototype of the personal identity. One or more channels of a global network are pruned based on the network graph to produce the personalized model.