Abstract: A data transmission method and a device are disclosed. The data transmission method includes: a first communications device receives first information sent by a second communications device. The first information is used to indicate one or more of transport block set information, maximum transport block quantity information, transport block information, and first combination set information. The first communications device determines, based on the first information, a quantity of transport blocks scheduled by using control information, and a HARQ process number corresponding to each transport block in the transport blocks scheduled by using the control information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for estimating a 3-D pose of an object of interest from image and point cloud data. In one aspect, a method includes obtaining an image of an environment; obtaining a point cloud of a three-dimensional region of the environment; generating a fused representation of the image and the point cloud; and processing the fused representation using a pose estimation neural network and in accordance with current values of a plurality of pose estimation network parameters to generate a pose estimation network output that specifies, for each of multiple keypoints, a respective estimated position in the three-dimensional region of the environment.

Abstract: Disclosed are a sensing method and a sensing apparatus for acquiring information about an object according to one embodiment. In particular, disclosed are a sensing method and a sensing apparatus for obtaining the shape of blood vessels by using information regarding the intensity of received light and information regarding the distance of an object.

Abstract: An image segmentation method is provided for a computing device. The method includes obtaining a general tumor image, performing tumor localization on the tumor image to obtain a candidate image indicating a position of a tumor region in the general tumor image, inputting the candidate image to a cascaded segmentation network constructed based on a machine learning model, and performing image segmentation on the general tumor region in the candidate image using a first-level segmentation network and a second-level segmentation network in the cascaded segmentation network to obtain a segmented image.

Abstract: In one implementation, a method of determining an estimate of a position of a camera is performed at a device including one or more processors and non-transitory memory. The method includes obtaining a point cloud of a physical environment including a plurality of points, wherein each of the plurality of points is associated with set of three-dimensional coordinates in a three-dimensional coordinate system of the physical environment, wherein the plurality of points includes a first cluster of points associated with a first semantic label. The method includes obtaining a two-dimensional image of the physical environment associated with a point-of-view set of three-dimensional coordinates in the three-dimensional coordinate system of the physical environment. The method includes detecting, in the two-dimensional image of the physical environment, a representation of a first object corresponding to the first semantic label.

Abstract: Disclosed are techniques for performing object detection and tracking. In some implementations, a process for performing object detection and tracking is provided. The process can include steps for obtaining, at a tracking object, an image comprising a target object, obtaining, at the tracking object, a first set of messages associated with the target object, determining a bounding box for the target object in the image based on the first set of messages associated with the target object, and extracting a sub-image from the image. In some approaches, the process can further include steps for detecting, using an object detection model, a location of the target object within the sub-image. Systems and machine-readable media are also provided.

Abstract: A system for updating/magnifying regions within one or more data frames containing a region of interest while regions outside the region of interest are not updated or are updated less frequently. Edge devices are thereby able to surgically apply super-resolution algorithms to relevant regions of image frames, thereby leveraging their overall effectiveness.

Abstract: Techniques and apparatus for analyzing visual content using a visual transformer are described. An example technique includes generating a first set of tokens based on a visual content item. Each token in the first set of tokens is associated with a regional feature from a different region of a plurality of regions of the visual content item. A second set of tokens is generated based on the visual content item. Each token in the second set of tokens is associated with a local feature from one of the plurality of regions of the visual content item. At least one feature map is generated for the visual content item, based on analyzing the first set of tokens and the second set of tokens separately using a hierarchical vision transformer. At least one vision task is performed based on the at least one feature map.

Abstract: An object of the present invention is to provide an image processing device, an endoscope system, and an image processing method capable of observing an accurate structure of a subject while preventing a substantial decrease in a frame rate in a case where an image is acquired using a plurality of observation lights.

Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a surfel map with semantic labels. One of the methods includes receiving a surfel map that includes a plurality of surfels, wherein each surfel has associated data that includes one or more semantic labels; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more surfels corresponding to the one or more locations of the obtained sensor data; identifying one or more semantic labels for the one or more surfels corresponding to the one or more locations of the obtained sensor data; and performing, for each surfel corresponding to the one or more locations of the obtained sensor data, a label-specific detection process for the surfel.

Abstract: A method of annotating road images, the method comprising implementing, at an image processing system, the following steps: receiving a time sequence of two dimensional images as captured by an image capture device of travelling vehicle; processing the images to reconstruct, in three-dimensional space, a path travelled by the vehicle; using the reconstructed vehicle path to determine expected road structure extending along the reconstructed vehicle path; and generating road annotation data for marking at least one of the images with an expected road structure location, by performing a geometric projection of the expected road structure in three-dimensional space onto a two-dimensional plane of that image.

Abstract: Images of an undercarriage of a vehicle may be captured via one or more cameras. A point cloud may be determined based on the images. The point cloud may includes points positioned in a virtual three-dimensional space. A stitched image may be determined based on the point cloud by projecting the point cloud onto a virtual camera view. The stitched image may be stored on a storage device.

Abstract: An image sensor is positioned such that a field-of-view of the sensor encompasses portion of a beverage machine. The field-of-view includes a first zone associated with operating the beverage machine to dispense the beverage and a second zone in which a cup is placed to receive the beverage. A beverage assignment subsystem receives angled-view images from the image sensor. An event associated with an object entering one or both of the first zone and the second zone is detected. In image(s) associated with a start of the event, it is determined that both a hand of a person enters the first zone and the cup is placed in the second zone. If the cup remained in the second zone for at least a threshold time, the beverage is assigned to the person whose hand entered the first zone.

Abstract: A mobile virtual network operator is provided. The operator includes a server that is communicatively coupled to a mobile device. The mobile device includes application software provided by the virtual network operator for allowing phone call and data connectivity.

Abstract: Contract tracing systems and methods for infectious disease tracking are disclosed. An infectious disease tracking system includes a plurality of user devices, each user device configured to detect, using a wireless communication module, a signal emitted by another one of the plurality of user devices. The user device can determine that a strength of the signal exceeds a predetermined event initiation signal strength threshold corresponding to a physical proximity between users of the devices and can store a contact tracing event record in response to determining that the strength of the signal exceeds the predetermined event initiation signal strength threshold. The user device can transmit the contact tracing event records to a data center where they can be stored and used to identify close contacts when an index case of an infectious disease is identified.

Abstract: Disclosed herein are various embodiments for estimating shipping costs of items purchased on an online market. An embodiment operates by detecting a sales transaction between a seller and a buyer for an item via an online marketplace. An item vector representing the item as created by a deep learning model based on a plurality of characteristics associated with the item is received. A set of proximate vectors to the item vector, each of the proximate vectors corresponding to a past listings where a past shipping cost from shipping a product in the past listing is known are identified. A weighted average is calculated from the past shipping cost of each of the past listings. A dimensional weight of the item is estimated based on the weight average, and a shipping cost for the item is estimated based on the estimated dimensional weight prior to providing the item to a carrier.

Abstract: An object position detection device includes a first distance detection unit detecting a distance of an object from images, a first position detection unit detecting a position of the object based on the distance, a processing area which contains the object detected by the first distance detection unit in images, a second position detection unit that detects a position of the object in the processing area, a second distance detection unit that detects a distance of the object based on the position of the object detected by the second position detection unit, a unit that detects an orientation of the object based on the position of the object detected by the second position detection unit, and a determination unit that determines the distance and the position of the object in accordance with information of detections executed by the first and the second distance detection units, and the orientation detection unit.

Abstract: This application provides a collision detection method and related apparatus. An image taken by a photographing unit may be used to predict whether a collision with a to-be-detected target will occur. In a current collision prediction method, a type of the to-be-detected target needs to be determined first based on the image taken by the photographing unit, which requires consuming of a large amount of computing power. In the collision prediction method provided in this application, a change trend of a distance between the to-be-detected target and a vehicle in which the apparatus is located may be determined based on the distances between the to-be-detected target and the vehicle at different moments, to predict a collision between the to-be-detected target and the vehicle. This method can improve efficiency in collision prediction and reduce energy consumption in predicting collision.

Abstract: An image distribution apparatus includes an acquisition unit configured to acquire information about a gazing area specified by a user in a first image, and a transmission unit configured to transmit, from a second image having resolution higher than resolution of the first image and divided into a plurality of tile images, a first tile image where the gazing area belongs and a second tile image adjacent to the first tile image.