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公开(公告)号:WO2023086246A1
公开(公告)日:2023-05-19
申请号:PCT/US2022/048626
申请日:2022-11-01
Applicant: QUALCOMM INCORPORATED
Inventor: ELSHAFIE, Ahmed , ABDELGHAFFAR, Muhammad Sayed Khairy , ABOTABL, Ahmed Attia , IBRAHIM, Abdelrahman Mohamed Ahmed Mohamed
IPC: H04L5/00
Abstract: A method of wireless communication by a user equipment (UE) includes receiving, from a base station, a downlink demodulation reference signal (DMRS) generated from a downlink DMRS configuration. The method also includes transmitting, to the base station, an uplink DMRS generated from an uplink DMRS configuration. A value of one or more parameter(s) of the uplink DMRS configuration differs from a value of the parameter(s) of the downlink DMRS configuration. A method of wireless communication by a base station includes transmitting, to a user equipment (UE), a downlink demodulation reference signal (DMRS) generated from a downlink DMRS configuration. The method also includes receiving, from the UE, an uplink DMRS generated from an uplink DMRS configuration. A value of one or more parameter(s) of the uplink DMRS configuration differs from a second value of the parameter(s) of the downlink DMRS configuration.
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公开(公告)号:WO2023080988A1
公开(公告)日:2023-05-11
申请号:PCT/US2022/045946
申请日:2022-10-06
Applicant: QUALCOMM TECHNOLOGIES, INC.
Inventor: CHEN, An , MAYYURI, Vijaya Datta
Abstract: A method for mobility and zone management in zone-based federated learning includes receiving, at a zone management device of multiple zone management devices, a global model from a first network device associated with the global model. Each of the multiple zone management devices is associated with a corresponding zone model of multiple zone models. The zone management device transmits the global model to mobile devices in a first zone associated with the first zone model based on a zone membership. The zone management device receives weights associated with the global model from each mobile device in the first zone. The zone management device updates the first zone model based on the received weights and the zone membership. The zone management device transmits the updated first zone model to each mobile device in the first zone.
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公开(公告)号:WO2023076047A1
公开(公告)日:2023-05-04
申请号:PCT/US2022/046733
申请日:2022-10-14
Applicant: QUALCOMM INCORPORATED
Inventor: ANWANI, Navin Dunichand , BARGHI, Sanaz , SADEGHI, Pouriya , ZENG, Weiliang , BHATTACHARJEE, Supratik , HARIHARAN, Gautham , PIERROT, Alexandre
IPC: H04L1/00
Abstract: A method for wireless communication by a user equipment (UE) includes receiving, from a base station, a reference signal on a wideband channel. The method further includes estimating, at the UE, the wideband channel based on receiving the reference signal. The method still further includes identifying, at the UE, a bottleneck band of the wideband channel based on a metric associated with the estimated wideband channel. The method also includes transmitting, to the base station, a channel state feedback report based on identifying the bottleneck band, the channel state feedback report indicating channel state information (CSI) associated with the estimated wideband channel. The method further includes receiving, from the base station, a transmission grant based on transmitting the channel feedback report.
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公开(公告)号:WO2023059723A1
公开(公告)日:2023-04-13
申请号:PCT/US2022/045785
申请日:2022-10-05
Applicant: QUALCOMM INCORPORATED
Inventor: KUZMIN, Andrey , VAN BAALEN, Marinus Willem , NAGEL, Markus , BEHBOODI, Arash
Abstract: A processor-implemented method includes retrieving, for a layer of a set of layers of an artificial neural network (ANN), a dense quantized matrix representing a codebook and a sparse quantized matrix representing linear coefficients. The dense quantized matrix and the sparse quantized matrix may be associated with a weight tensor of the layer. The processor-implemented method also includes determining, for the layer of the set of layers, the weight tensor based on a product of the dense quantized matrix and the sparse quantized matrix. The processor-implemented method further includes processing, at the layer, an input based on the weight tensor.
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公开(公告)号:WO2023014652A1
公开(公告)日:2023-02-09
申请号:PCT/US2022/039045
申请日:2022-08-01
Applicant: QUALCOMM INCORPORATED
Inventor: BATHIJA, Jayesh , GHOLMIEH, Ralph Akram , SAXENA, Sandeep , TANI, Taoufik , SANTHANAM, Arvind Vardarajan
Abstract: A method of wireless communication by a device includes detecting whether the device is in an outdoor environment in response to a start of a reevaluation timer. The method also determines a mobility level of the device in response to the start of the reevaluation timer. The method further includes enabling a vehicle-to-everything (V2X) pedestrian mode in response to the device being in the outdoor environment and/or the mobility level exceeding a threshold value.
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公开(公告)号:WO2022272178A1
公开(公告)日:2022-12-29
申请号:PCT/US2022/035186
申请日:2022-06-27
Applicant: QUALCOMM TECHNOLOGIES, INC.
Inventor: KILICKAYA, Mert , SMEULDERS, Arnold Wilhelmus Maria
IPC: G06V10/82 , G06V40/10 , G06V10/80 , G06F18/213 , G06F18/241 , G06V10/751 , G06V10/809 , G06V20/00
Abstract: A method for human-object interaction detection includes receiving an image. A set of features are extracted from multiple positions of the image. One or more human-object pairs may be predicted based on the extracted set of features. A human-object interaction may be determined based on a set of candidate interactions and the predicted human-object pairs.
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公开(公告)号:WO2022250717A1
公开(公告)日:2022-12-01
申请号:PCT/US2021/043220
申请日:2021-07-26
Applicant: QUALCOMM INCORPORATED
Inventor: LIPPE, Phillip , COHEN, Taco Sebastiaan , GAVVES, Efstratios
Abstract: 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.
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公开(公告)号:WO2022212586A1
公开(公告)日:2022-10-06
申请号:PCT/US2022/022657
申请日:2022-03-30
Applicant: QUALCOMM TECHNOLOGIES, INC.
Inventor: CESA, Gabriele , LANG, Leon , WEILER, Maurice
IPC: G06N3/04 , G06N3/08 , G06N3/0454 , G06N3/084
Abstract: A method comprising for generating an equivariant neural network includes receiving a set of irreducible representations for an origin-preserving group. A network that is equivariant to the origin-preserving group is dynamically generated based on the set of irreducible representation.
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公开(公告)号:WO2022197958A1
公开(公告)日:2022-09-22
申请号:PCT/US2022/020801
申请日:2022-03-17
Applicant: QUALCOMM INCORPORATED
Inventor: ABATI, Davide , HABIBIAN, Amirhossein , GHODRATI, Amir
Abstract: A processor-implemented method for processing a video includes receiving the video as an input at an artificial neural network (ANN). The video includes a sequence of frames. A set of features of a current frame of the video and a prior frame of the video are extracted. The set of features including a set of support features for a set of pixels of the prior frame to be aligned with a set of reference features of the current frame. A similarity between a support feature for each pixel in the set of pixels of the set of support features of the prior frame and a corresponding reference feature of the current frame is computed. An attention map is generated based on the similarity. An output including a reconstruction of the current frame is generated based on the attention map.
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公开(公告)号:WO2022192449A1
公开(公告)日:2022-09-15
申请号:PCT/US2022/019620
申请日:2022-03-09
Applicant: QUALCOMM INCORPORATED
Inventor: ZHANG, Yizhe , BORSE, Shubhankar Mangesh , PORIKLI, Fatih Murat
Abstract: A method for processing a video includes receiving a video as an input at a first layer of an artificial neural network (ANN). A first frame of the video is processed to generate a first label. Thereafter, the artificial neural network is updated based on the first label. The updating is performed while concurrently processing a second frame of the video. In doing so, the temporal inconsistency between labels is reduced.
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