Abstract:
Apparatuses (including user equipment (UE) and modem chips for UE), systems, and methods for calculating more accurate Reference Signal Received Power (RSRP) measurements and/or detecting/eliminating ghost cells from a list of (supposed) neighboring cells are described. In one method, the cross-correlations between adjacent Cell-specific Reference Signals (CRSs) are used to calculate the RSRP and to detect any ghost cells in a list of (supposed) neighboring cells. Any detected ghost cell may be deleted from any searches and measurements by the UE, and may also be reported to the network.
Abstract:
An apparatus and a method. The apparatus includes a first subscriber identity module (SIM); a second SIM; a dual SIM resource controller (DSRC) connected to the first SIM and the second SIM; and a radio frequency (RF) communication entity connected to the DSRC, wherein the DSRC performs one of scheduling a first paging preparation period of the first SIM prior to a second paging preparation period of the second SIM and re-attempting by the first SIM an RF request for the RF communication entity after an initial RF request for the RF communication entity is not granted.
Abstract:
Apparatuses (including user equipment (UE) and modem chips for UE), systems, and methods for reducing false alarms (FAs) and miss-detections (MDs) in cell search results are described. In one method, the minimum of a value for the accumulated metric for a first short code and a value for the accumulated metric for a second short code is used as a pruning metric for each candidate cell. One or more thresholds are applied to the pruning metric to determine whether the candidate cell will be pruned from the final candidate cell list.
Abstract:
A method and device are disclosed for estimating an interaction with the device. The method includes configuring a first token and a second token of an estimation model according to first features of a 3D object, applying a first weight to the first token to produce a first-weighted input token and applying a second weight that is different from the first weight to the second token to produce a second-weighted input token, and generating, by a first encoder layer of an estimation-model encoder of the estimation model, an output token based on the first-weighted input token and the second-weighted input token. The method may include receiving, at a 2D feature extraction model, the first features from a backbone, extracting, by the 2D feature extraction model, second features including 2D features, and receiving, at the estimation-model encoder, data generated based on the 2D features.
Abstract:
A method and an apparatus are provided for performing visual inertial odometry (VIO). Measurements are processed from an inertial measurement unit (IMU), a camera, and a depth sensor. Keyframe residue including at least depth residue is determined based on the processed measurements. A sliding window graph is generated and optimized based on factors derived from the keyframe residue. An object pose is estimated based on the optimized sliding window graph.
Abstract:
An apparatus and a method. The apparatus includes a first SIM, a second SIM, a dual SIM resource controller (DSRC), and a radio frequency (RF) communication entity. The DSRC is configured to schedule a first paging preparation period of the first SIM prior to a second paging preparation period of the second SIM, when an initial RF request for the RF communication entity is granted, and it is determined that a partial paging overlap will occur between the first SIM and the second SIM.
Abstract:
A method and an apparatus are provided for providing a dolly zoom effect by an electronic device. A first image with a first depth map and a second image with a second depth map are obtained. A first synthesized image and a corresponding first synthesized depth map are generated using the first image and the first depth map respectively. A second synthesized image and a corresponding second synthesized depth map are generated using the second image and the second depth map respectively. A fused image is generated from the first synthesized image and the second synthesized image. A fused depth map is generated from the first synthesized depth map and the second synthesized depth map. A final synthesized image is generated based on processing the fused image and the fused depth map.
Abstract:
An electronic device and method for texturing a three dimensional (3D) model are provided. The method includes rendering a texture atlas to obtain a first set of two dimensional (2D) images of the 3D model; rendering a ground truth texture atlas to obtain a second set of 2D images of the 3D model; comparing the first set of images with the second set of images to determine a rendering loss; applying the texture sampling properties to a convolutional neural network (CNN) to incorporate the rendering loss into a deep learning framework; and inputting a 2D texture atlas into the CNN to generate a texture of the 3D module.
Abstract:
An apparatus and a method. The apparatus includes a first subscriber identity module (SIM); a second SIM; a dual SIM resource controller (DSRC) connected to the first SIM and the second SIM; and a radio frequency (RF) communication entity connected to the DSRC, wherein the DSRC is configured to attempt an RF request for the RF communication entity of the first SIM after a paging period of the second SIM is completed.