Abstract: A system and method for performing intersection scenario retrieval that includes receiving a video stream of a surrounding environment of an ego vehicle. The system and method also include analyzing the video stream to trim the video stream into video clips of an intersection scene associated with the travel of the ego vehicle. The system and method additionally include annotating the ego vehicle, dynamic objects, and their motion paths that are included within the intersection scene with action units that describe an intersection scenario. The system and method further include retrieving at least one intersection scenario based on a query of an electronic dataset that stores a combination of action units to operably control a presentation of at least one intersection scenario video clip that includes the at least one intersection scenario.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: The present invention relates to cobicistat and its derivatives or prodrugs for use in the prophylaxis and/or treatment of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection, severe acute respiratory syndrome coronavirus (SARS-CoV) infection and/or Middle East respiratory syndrome coronavirus (MERS-CoV) infection. The present invention further relates to methods of prevention and/or treatment of SARS-CoV-2 infection.

Abstract: A system and method for performing intersection scenario retrieval that includes receiving a video stream of a surrounding environment of an ego vehicle. The system and method also include analyzing the video stream to trim the video stream into video clips of an intersection scene associated with the travel of the ego vehicle. The system and method additionally include annotating the ego vehicle, dynamic objects, and their motion paths that are included within the intersection scene with action units that describe an intersection scenario. The system and method further include retrieving at least one intersection scenario based on a query of an electronic dataset that stores a combination of action units to operably control a presentation of at least one intersection scenario video clip that includes the at least one intersection scenario.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: Multi-modal data representing driving events and corresponding actions related to the driving events can be obtained and used to train a neural network at least in part by using a triplet loss computed for the driving events as a regression loss to determine an embedding of driving event data. In some cases, using the trained neural network, a retrieval request for an input driving event and corresponding action can be processed by determining, from the neural network, one or more similar driving events or corresponding actions in the multi-modal data.

Abstract: Methods, systems, and computer-readable mediums storing computer executable code for visual recognition implementing a triplet loss function are provided. The method include receiving an image generated from an image source associated with a vehicle. The method may also include analyzing the image based on a convolutional neural network. The convolutional neural network may apply both a triplet loss function and a softmax loss function to the image to determine classification logits. The method may also include classifying the image into a predetermined class distribution based upon the determined classification logits. The method may also include instructing the vehicle to perform a specific task based upon the classified image.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: Multi-modal data representing driving events and corresponding actions related to the driving events can be obtained and used to train a neural network at least in part by using a triplet loss computed for the driving events as a regression loss to determine an embedding of driving event data. In some cases, using the trained neural network, a retrieval request for an input driving event and corresponding action can be processed by determining, from the neural network, one or more similar driving events or corresponding actions in the multi-modal data.

Abstract: Methods, systems, and computer-readable mediums storing computer executable code for visual recognition implementing a triplet loss function are provided. The method include receiving an image generated from an image source associated with a vehicle. The method may also include analyzing the image based on a convolutional neural network. The convolutional neural network may apply both a triplet loss function and a softmax loss function to the image to determine classification logits. The method may also include classifying the image into a predetermined class distribution based upon the determined classification logits. The method may also include instructing the vehicle to perform a specific task based upon the classified image.

Abstract: Systems, methods, and computer program products for an On-Line Transaction Processing (OLTP) system. Payment and merchant information is stored in a database record for each product in a set of products from multiple suppliers. In response to receiving a request to refund products in the set, the OLTP system may determine the merchant, a number of payments, and the amount of each payment for each product being refunded based on the payment and merchant information in the database record, and trigger payments between the supplier, seller, and buyer. In response to detecting an error, the OLTP system may store a status of the refund processing in the database record and queue the transaction for processing by a call center. In response to receiving a restart request, the OLTP system may retrieve the status data from the database record and restart processing of the refund based on the status data.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: A method for merging measurements of a flight parameter of an aircraft, from measurements (y1, y2, y3, y4) of this parameter supplied respectively by a plurality of sensors (C1, C2, C3, C4), comprising: for each sensor (C1; C2; C3; C4), computing a deviation (T1; T2; T3; T4), proportional to the absolute value of a difference between a measurement (y1, y2, y3; y4) supplied by this sensor, and an estimation of the parameter computed from the measurements supplied by the other sensors; comparing each deviation to a corresponding threshold (Td1; Td2; Td3; Td4); based on the comparisons, determining the presence or not of an anomaly on one of the sensors with a determined total probability of false alarm; and merging measurements to provide a final estimation of the parameter ({circumflex over (x)}).

Abstract: Systems, methods, and computer program products for an On-Line Transaction Processing (OLTP) system. Payment and merchant information is stored in a database record for each product in a set of products from multiple suppliers. In response to receiving a request to refund products in the set, the OLTP system may determine the merchant, a number of payments, and the amount of each payment for each product being refunded based on the payment and merchant information in the database record, and trigger payments between the supplier, seller, and buyer. In response to detecting an error, the OLTP system may store a status of the refund processing in the database record and queue the transaction for processing by a call center. In response to receiving a restart request, the OLTP system may retrieve the status data from the database record and restart processing of the refund based on the status data.

Abstract: A method for merging measurements of a flight parameter of an aircraft, from measurements (y1, y2, y3, y4) of this parameter supplied respectively by a plurality of sensors (C1, C2, C3, C4), comprising: for each sensor (C1; C2; C3; C4), computing a deviation (T1; T2; T3; T4), proportional to the absolute value of a difference between a measurement (y1, y2, y3; y4) supplied by this sensor, and an estimation of the parameter computed from the measurements supplied by the other sensors; comparing each deviation to a corresponding threshold (Td1; Td2; Td3; Td4); based on the comparisons, determining the presence or not of an anomaly on one of the sensors with a determined total probability of false alarm; and merging measurements to provide a final estimation of the parameter ({circumflex over (x)}).

Abstract: A CMOS-implementable TOF detector promptly collects charge whose creation time can be precisely known, while rejecting collection of potentially late arriving charge whose creation time may not be precisely known. Charges created in upper regions of the detector structure are ensured to be rapidly collected, while charges created in the lower regions of the detector structure, potentially late arriving charges, are inhibiting from being collected.

Abstract: A CMOS-implementable TOF detector promptly collects charge whose creation time can be precisely known, while rejecting collection of potentially late arriving charge whose creation time may not be precisely known. Charges created in upper regions of the detector structure are ensured to be rapidly collected, while charges created in the lower regions of the detector structure, potentially late arriving charges, are inhibiting from being collected.

Abstract: A particulate agglomerated carrier is described which is suitable for use in admixture with a laundry detergent composition and which is capable of depositing an effective amount of an antibacterial agent on laundered fabrics and for providing an effective amount of same in the wash solution. The carrier is an agglomerate of a smectite-type clay and an antibacterial agent.Also, described is a laundry detergent composition containing such agglomerated carrier and process for depositing an effective amount of an antibacterial agent on laundered fabrics and for providing an effective amount of such antibacterial agent in the wash solution.

Abstract: A particulate agglomerated carrier is described which is suitable for use in admixture with a laundry detergent composition and which is capable of depositing an effective amount of an antibacterial agent on laundered fabrics and for providing an effective amount of same in the wash solution. The carrier is an agglomerate of (i) a soil release copolymer of polyethylene terephthalate (PET) and polyoxyethylene terephthalate (POET); and (ii) an antibacterial agent.Also, described is a laundry detergent composition containing such agglomerated carrier and process for depositing an effective amount of an antibacterial agent on laundered fabrics and for providing such antibacterial agent in the wash solution.