Abstract: A tool assembly for mounting a tailgate to a car body is provided. The tool assembly includes a bracket adapted to engage with an overhead structure and a frame movably coupled to the bracket and configured to move in a vertical direction relative to the bracket. The tool assembly also includes a linkage mechanism movably coupling the frame with the bracket and configured to maintain the frame parallel to the bracket during the vertical movement of the frame. Further, a pair of torque guns is coupled to the frame and is configured to hold a pair of fasteners. The pair of torque guns engages and tightens the pair of fasteners to the car body and a hinge attached to the tailgate.

Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.

Abstract: In an approach to generating conversational image representations, one or more computer processors detect one or more utterances by a user, wherein utterances are either textual or acoustic. The one or more computer processors generate one or more image representations of the one or more detected utterances utilizing a generative adversarial network restricted by one or more user privacy parameters, wherein the generative adversarial network is fed with an extracted sentiment, a generated avatar, an identified topic, an extracted location, and one or more user preferences. The one or more computer processors display the generated one or more image representations on one or more devices associated with respective one or more recipients of the one or more utterances.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: The present disclosure describes methods and system for personalizing user experience in a gaming network. In particular, the user experience is personalized based on how users are characterized based on their interactions with the gaming network. By using the characterizations, the users are assigned labels that publicly identify the user experience, interest, and proficiency with various video games. Communities are then established based on users having the same labels. Lastly, user generated content can be characterized and promoted based on the characterizations to the appropriate communities.

Abstract: A method, computer system, and a computer program product for payload stabilization is provided. The present invention may include, in response to receiving at least one sensor data associated with a suspended payload, detecting an unstable movement in the suspended payload during a transport of the suspended payload. The present invention may also include implementing at least one sail coupled to the suspended payload to stabilize the detected unstable movement of the suspended payload.

Abstract: In a method and apparatus for extreme-light image enhancement, an input image is passed to a lighting classification module in order to be classified into two categories: an under-exposed lighting condition and an over-exposed light condition. Then the classified image is subsequently passed to an enhancement module which comprises a first image enhancement unit and a second image enhancement unit using a mapping function based on a gamma mapping function for mapping the classified image to an output image, respectively. A parameter of the gamma mapping function is estimated by a parameter estimation network, based on the classified image. The parameter estimation network may be a lightweight CNN network which is trained by an unsupervised approach.

Abstract: In some examples, a user, either a customer or potential customer of a business, engages in conversations with a virtual assistant (VA) provided by the business. The virtual assistant (VA) is further supported by one or more human assistants (HA), if needed. In embodiments, to facilitate seamless transitions between a VA and a HA, when needed, an intelligent decision maker (IDM) is provided. The IDM receives a user question and a proposed answer to the question from a VA, evaluates the proposed answer in the context of the conversation, and determines if the proposed answer requires further review by an HA. In response to a determination that the proposed answer requires further review, the IDM sends the proposed answer to an HA, and, in response to an indication by the HA, takes further action in the conversation.

Abstract: Computer vision systems and methods for text classification are provided. The system detects a plurality of text regions in an image and generates a bounding box for each detected text region. The system utilizes a neural network to recognize text present within each bounding box and classifies the recognized text, based on at least one extracted feature of each bounding box and the recognized text present within each bounding box, according to a plurality of predefined tags. The system can associate a key with a value and return a key-value pair for each predefined tag.

Abstract: Techniques regarding action detection based on motion in receptive fields of a neural network model are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a motion component that can extract a motion vector from a plurality of adaptive receptive fields in a deformable convolution layer of a neural network model. The computer executable components can also comprise an action detection component that can generate a spatio-temporal feature by concatenating the motion vector with a spatial feature extracted from the deformable convolution layer.

Abstract: A computer system, a computer program product, and a computer-implemented system are provided for leveraging a national language processing (NLP) system for dynamically generating natural language output data. A NLP module investigates text or communication data from one or more platforms and derives global characteristic data from the investigated data. The derived global characteristic data is subject to modulation with a captured local writing style corresponding to a captured relationship. Contextual information is dynamically identified. Real-time natural language output communication data is generated that incorporates communication dynamics from the modulated global characteristic data and the dynamically identified contextual information.

Abstract: Location information associated with a parking area is received. Information about a plurality of vehicles parked in the parking area is determined. A first space located between a first parked vehicle and a first non-movable object located in front of the first parked vehicle is determined. The first space is comprised of a first required space and a first non-required space. A second space located between the first parked vehicle and a second non-movable object located behind the first parked vehicle is determined. The second space is comprised of a second required space and a second non-required space. Responsive to determining that the first non-required space is greater than the second non-required space, the first parked vehicle is moved towards the first space. After moving the first parked vehicle, the first space is equivalent to the first required space.

Abstract: In an approach to generating conversational image representations, one or more computer processors detect one or more utterances by a user, wherein utterances are either textual or acoustic. The one or more computer processors generate one or more image representations of the one or more detected utterances utilizing a generative adversarial network restricted by one or more user privacy parameters, wherein the generative adversarial network is fed with an extracted sentiment, a generated avatar, an identified topic, an extracted location, and one or more user preferences. The one or more computer processors display the generated one or more image representations on one or more devices associated with respective one or more recipients of the one or more utterances.

Abstract: Aspects of the invention include a computer-implemented method for quantifying tester sentiment. The computer-implemented method includes receiving a first feedback data from a first tester, where the first feedback data represents feedback generated by the first tester in connection with a first instance of a first software-under-development. The first feedback data is correlated to an aspect of the first instance of the first software-under-development to derive a tester sentiment data. The tester sentiment data is used to determine a tester sentiment rating of the first instance of the software-under-development. Based on the tester sentiment rating, a resource is applied to the first instance of the first software-under-development.

Abstract: A method for providing adaptive vehicle-proximity guidance may include monitoring transit-condition data of a roadway traversed by a user-vehicle. The method may further include determining, based at least in part on the transit-condition data, a proximity zone. The method may further include generating a first visual representation that corresponds to the proximity zone. The method may further include displaying the first visual representation onto the roadway proximate the proximity zone and updating the first visual representation in response to detected changes in the transit-condition data.

Abstract: A method, a computer program product, and a computer system warn workers of a hazardous condition on a worksite. The method includes determining at least one outcome involving a worker and at least one worksite object based on conditions of the worksite. The method includes predicting whether a select one of the at least one outcome presents a hazardous condition to the worker. As a result of predicting that the select outcome presents the hazardous condition, the method includes transmitting a signal to a device associated with the worker. The signal triggers a warning to be received by the worker where the device is in a proximity of the worker.

Abstract: A mobile cart for use in handling vehicle parts, that includes a base subassembly including a first side and a second side, and a storage subassembly coupled to the base subassembly. The storage subassembly includes a first row of swing arms extending along the first side, and a second row of swing arms extending along the second side. The swing arms in the first row and the second row are positionable between an upright position and a lowered position. When in the upright position, a first slot is defined between each swing arm in the first row, and a second slot is defined between each swing arm in the second row, such that a respective first slot is axially aligned with a respective second slot relative to the mobile cart such that a plurality of retention slots are defined that are oriented and sized to receive a vehicle part therein.

Abstract: A method for displaying a visual representation corresponding to a carriage capacity may include obtaining passenger data of passengers onboard a carriage of a multi-carriage vehicle. The method may further include predicting, based at least in part on the first passenger data, a number of passengers who will exit the carriage at a destination. The method may further include determining, based at least in part on the predicting, an available capacity for the carriage and generating a visual representation that corresponds to the available capacity. The method may further include displaying the visual representation at the destination of the multi-carriage vehicle.

Abstract: The present disclosure describes methods and systems directed towards implementing scene tagging. In particular, scene tagging is used to characterize user generated content associated with gameplay information associated with video games. Exemplary user generated content include video recordings or screenshots from within the video game that pertain to events that have occurred. Corresponding metadata would then be used to describe substantive aspects about the user-generated content such as details about where the recording or screenshot was taken, who was included in the user-generated content, and what objects are found in the user-generated content. The associated metadata would 1) allow users to search among various uploaded user generated content and 2) search within portions of those use-generated content for particular sub-sections of interest. Furthermore, the metadata associated with the user-generated content would allow viewers to experience the same events that were recorded.

Abstract: A mobile cart for use in handling vehicle parts, that includes a base subassembly including a first side and a second side, and a storage subassembly coupled to the base subassembly. The storage subassembly includes a first row of swing arms extending along the first side, and a second row of swing arms extending along the second side. The swing arms in the first row and the second row are positionable between an upright position and a lowered position. When in the upright position, a first slot is defined between each swing arm in the first row, and a second slot is defined between each swing arm in the second row, such that a respective first slot is axially aligned with a respective second slot relative to the mobile cart such that a plurality of retention slots are defined that are oriented and sized to receive a vehicle part therein.