Abstract: A system and method of reconstructing a three-dimensional (3D) model of a garment using an image are provided. The method includes (i) receiving a two-dimensional (2D) image from a user device associated with a user, (ii) representing the garment into a point cloud of the garment by extracting the garment from the 2D image, and (iii) reconstructing a three-dimensional (3D) image of the 2D image by generating a dense mesh of the garment by (a) splitting the set of 3D points into a mesh based on an image grid structure to identify the missing regions in the point cloud, (b) generating an additional mesh for the missing regions by sampling the set of 3D points on the point cloud using a Poisson surface reconstruction method, and (c) generating a dense mesh by combining the mesh with the additional mesh to fill the missing regions in the point cloud of the garment.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: A storage system and method for improving utilization of a communication channel between a host and the storage system are provided. In one embodiment, a method is provided that is performed in a storage system in communication with a host via a communication channel. The method comprises determining utilization of the communication channel; and selecting a command for execution from a queue based at least in part on the determined utilization of the communication channel. The command can be selected also based on at least one other factor and based on a weighted priority-based function. Other embodiments are provided.

Abstract: A system for generating three-dimensional (3D) objects from two-dimensional (2D) images of garments is presented. The system includes a data module configured to receive a 2D image of a selected garment and a target 3D model. The system further includes a computer vision model configured to generate a UV map of the 2D image of the selected garment. The system moreover includes a training module configured to train the computer vision model based on a plurality of 2D training images and a plurality of ground truth (GT) panels for a plurality of 3D training models. The system furthermore includes a 3D object generator configured to generate a 3D object corresponding to the selected garment based on the UV map generated by a trained computer vision model and the target 3D model. A related method is also presented.

Abstract: A storage system and method for improving utilization of a communication channel between a host and the storage system are provided. In one embodiment, a host sends a request for workload pattern information to the data storage device, and the data storage device provides the requested workload pattern information to the host. Based on that workload pattern information, the host queues commands to be sent to the data storage device to improve utilization of the communication channel between the host and the data storage device. Other embodiments are provided.

Abstract: A storage system and method for improving utilization of a communication channel between a host and the storage system are provided. In one embodiment, a host sends a request for workload pattern information to the data storage device, and the data storage device provides the requested workload pattern information to the host. Based on that workload pattern information, the host queues commands to be sent to the data storage device to improve utilization of the communication channel between the host and the data storage device. Other embodiments are provided.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: A system and method of automatically reconstructing a three-dimensional (3D) model of an object using a machine learning model is provided. The method includes (i) obtaining, using an image capturing device, a color image of an object, (ii) generating, using an encoder, a feature map by converting the color image that is represented in the 3D array to n-dimensional array, (iii) generating, using the machine learning model, a set of peeled depth maps and a set of RGB maps from the feature map, (iv) determining one or more 3D surface points of the object by back projecting the set of peeled depth maps and the set of RGB maps to 3D space, (v) reconstructing, using the machine learning model, a 3D model of the object by performing surface reconstruction using the one or more 3D surface points of the object.

Abstract: Aspects of a storage device including a cache having a logical-to-physical (L2P) mapping table, a scratchpad buffer, and a controller are provided to optimize cache storage of L2P mapping information. A controller receives a random pattern of logical addresses and identifies each logical address within one of multiple probability distributions. Based on a frequency of occurrence of each logical address, the controller stores a control page including the logical address within either a partition of the L2P mapping table which is associated with the corresponding probability distribution, or in the scratchpad buffer. The frequency of occurrence of each logical address is determined based on whether the logical address is within one or more standard deviations from a mean of each probability distribution. As a result, frequently occurring control pages are stored in cache, while infrequently occurring control pages are stored in the scratchpad buffer.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: Aspects of a storage device including a cache having a logical-to-physical (L2P) mapping table, a scratchpad buffer, and a controller are provided to optimize cache storage of L2P mapping information. A controller receives a random pattern of logical addresses and identifies each logical address within one of multiple probability distributions. Based on a frequency of occurrence of each logical address, the controller stores a control page including the logical address within either a partition of the L2P mapping table which is associated with the corresponding probability distribution, or in the scratchpad buffer. The frequency of occurrence of each logical address is determined based on whether the logical address is within one or more standard deviations from a mean of each probability distribution. As a result, frequently occurring control pages are stored in cache, while infrequently occurring control pages are stored in the scratchpad buffer.

Abstract: A storage system and method for improving utilization of a communication channel between a host and the storage system are provided. In one embodiment, a method is provided that is performed in a storage system in communication with a host via a communication channel. The method comprises determining utilization of the communication channel; and selecting a command for execution from a queue based at least in part on the determined utilization of the communication channel. The command can be selected also based on at least one other factor and based on a weighted priority-based function. Other embodiments are provided.

Abstract: Image Signal Processing (ISP) optimization framework for computer vision applications is disclosed. The tuning of the ISP is performed automatically and presented as a nonlinear multi-objective optimization problem, followed by solving the problem using an evolutionary stochastic solver. An improved ISP of the embodiments of the invention includes at least features of search space reduction for reducing a number of ISP configurations, remapping the generated population to the reduced search space via mirroring, and global optimization function processing, which allow tuning all the blocks of the ISP at the same time instead of the prior art tuning of each ISP block separately. Also shown that an ISP tuned for image quality performs inferior compared with an ISP trained for a specific downstream image recognition task.

Abstract: A method and a system are provided for customer churn prediction. The method includes creating a graph comprising a plurality of nodes and a plurality of edges. At least one edge of the plurality of edges in the graph connects more than two nodes of the plurality of nodes. Each of the plurality of nodes represents a customer. Thereafter, a similarity matrix representative of a similarity between each of a plurality of customers is determined based on the graph. Further, the similarity matrix is decomposed into a first matrix and a second matrix. A third matrix is determined based on the first matrix, the second matrix, and a scaling parameter. The third matrix is utilized to identify a set of potential churn customers from the plurality of customers. Thereafter, the set of potential churn customers is presented on a user-computing device.

Abstract: Systems and methods are disclosed for executing access commands for a data storage device. A data storage device receives first data to be written to a plurality of dies/non-volatile memory arrays. The data storage device transfers a first metapage of the first data to the plurality of dies/non-volatile memory arrays. The data storage device also programs the first metapage to a first metablock of the plurality of dies and programs the first metapage to a second metablock of the plurality of dies/non-volatile memory arrays. The data storage device further transfers a second metapage to the plurality of dies/non-volatile memory arrays. Programming the first metapage to the first metablock may be simultaneous with transferring the second metapage to the plurality of dies/non-volatile memory arrays.

Abstract: Systems and methods are disclosed for executing access commands for a data storage device. A data storage device receives first data to be written to a plurality of dies/non-volatile memory arrays. The data storage devices transfers a first metapage of the first data to the plurality of dies/non-volatile memory arrays. The data storage device also programs the first metapage to a first metablock of the plurality of dies and programs the first metapage to a second metablock of the plurality of dies/non-volatile memory arrays. The data storage device further transfers a second metapage to the plurality of dies/non-volatile memory arrays. Programming the first metapage to the first metablock may be simultaneous with transferring the second metapage to the plurality of dies/non-volatile memory arrays.

Abstract: Disclosed are methods and systems for transmitting a first electronic message to an employee. The method further includes generating a first data structure based on one or more first parameters of one or more electronic messages, one or more demographic attributes associated with the employee and one or more second parameters representative of one or more feedbacks provided by the employee on each of the one or more electronic messages other than the first electronic message. The method further includes determining a priority of the first electronic message, wherein the determination of the priority comprises predicting the one or more second parameters associated with the employee for the first electronic message based on the one or more second data structures. The method further includes transmitting the first electronic message to the employee based on the determined priority of the first electronic message.

Abstract: The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.

Abstract: A multi-chip module is provided including a multiplier configured to multiply a frequency of an input signal into a predetermined Ka-band frequency center channel, a modulator configured to modulate the center channel, and an amplifier configured to amplify a modulated signal for output.

Abstract: A method and a system are provided to derive one or more observations between a plurality of parameters in customer care data. The method includes receiving customer care data from a plurality of data sources. Thereafter the customer care data is transformed to create a plurality of data structures utilizing one or more semantic web protocols. The plurality of data structures represents a relationship between one or more parameters in the customer care data. Thereafter a subset of data structures is extracted from the plurality of data structures based on a query received via a query interface. One or more graph analytics techniques are applied on the subset of data structures to determine one or more observations associated with the subset of data structures. Thereafter the one or more observations pertaining to the subset of data structures are displayed on a display screen.