Abstract: This application provides example receiver optical sub-assemblies, example bi-directional optical sub-assemblies, and example optical network devices. One example receiver optical sub-assembly includes a photodiode, a trans-impedance amplifier, and a first filter component. The photodiode is configured to convert an optical signal into an electrical signal, a positive electrode of the photodiode is connected to an input terminal of the trans-impedance amplifier, and a negative electrode of the photodiode is configured to connect to a power supply. The trans-impedance amplifier is configured to amplify the electrical signal output by the photodiode, where a power terminal of the trans-impedance amplifier is configured to connect to a power supply, and a first ground terminal of the trans-impedance amplifier is configured to connect to an external ground.

Abstract: A data processing method, apparatus, device, and medium are provided. The method may include obtaining a set of edges marked as usable for cutting from a two-dimensional mesh model, searching the set of edges to obtain a cut path set, calculating, for each candidate cut path in the cut path set, a path length, and calculating a structural evaluation value corresponding to the candidate cut path.

Abstract: Some embodiments of the present disclosure provides a head shaking device and a fan. The head shaking device includes a fixing assembly; and a rotating assembly, which rotates relative to the fixing assembly in a reciprocating manner, wherein one of the fixing assembly and the rotating assembly includes at least one first connecting structure, the other includes at least one second connecting structure, and the first connecting structure is rotatably clamped with the second connecting structure.

Abstract: The method for generating a road edge line includes: acquiring a road image; recognizing lane line information from the road image; recognizing key point information related to the road edge from the road image; and generating the road edge line according to the lane line information and the key point information.

Abstract: A method for processing hybrid playing of multi-type multimedia includes: receiving a return instruction; determining whether a current address is a homepage address of the playing apparatus; when the current address is the homepage address, obtaining state switching information of a broadcast TV video and a video on demand (Vod) played by the playing apparatus; determining whether the obtained state switching information meets a preset condition; and when the state switching information meets the preset condition, cleaning up residual data of playing the Vod.

Abstract: A thumbnail management system is provided for an intelligent TV. Thumbnails may accumulate over time and require removal from a data storage device. Thumbnails may expire based, in part, on the type of media they represent, such as broadcast programs, movies, pay-per-view, games, and user content, such as music and images. Thumbnails may also be removed upon removal of the referencing media file.

Abstract: A method for processing hybrid playing of multi-type multimedia includes: receiving a return instruction; determining whether a current address is a homepage address of the playing apparatus; when the current address is the homepage address, obtaining state switching information of a broadcast TV video and a video on demand (Vod) played by the playing apparatus; determining whether the obtained state switching information meets a preset condition; and when the state switching information meets the preset condition, cleaning up residual data of playing the Vod.

Abstract: An intelligent television and methods for user interaction between the intelligent television and the user are provided. In general, a user is provided with navigation, notification, and setup options which enable one or more functions associated with the intelligent television. The presentation of options is based on input received by the intelligent television. As a user provides input to the intelligent television via a remote control or other input device, the intelligent television is configured to interpret the input and provide interactive functionality in the form of content presented to the display of the intelligent television.

Abstract: Systems and methods for articulated pose estimation are provided. Some embodiments include training a convolutional neural network for object pose estimation, which includes receiving a two-dimensional training image of an articulated object that has a plurality of components and identifying, from the two-dimensional training image, at least one key point for each of the plurality of components. Some embodiments also include testing the accuracy of the object pose estimation, which includes visualizing a three or more dimensional pose of each of the plurality of components of the articulated object from a two-dimensional testing image and providing data related to the visualization for output.

Abstract: An intelligent television and methods for user interaction between the intelligent television and the user are provided. In general, a user is provided with navigation, notification, and setup options which enable one or more functions associated with the intelligent television. The presentation of options is based on input received by the intelligent television. As a user provides input to the intelligent television via a remote control or other input device, the intelligent television is configured to interpret the input and provide interactive functionality in the form of content presented to the display of the intelligent television.

Abstract: Systems and methods for articulated pose estimation are provided. Some embodiments include training a convolutional neural network for object pose estimation, which includes receiving a two-dimensional training image of an articulated object that has a plurality of components and identifying, from the two-dimensional training image, at least one key point for each of the plurality of components. Some embodiments also include testing the accuracy of the object pose estimation, which includes visualizing a three or more dimensional pose of each of the plurality of components of the articulated object from a two-dimensional testing image and providing data related to the visualization for output.

Abstract: Systems and methods for estimating the pose of a textureless object are disclosed. A method to estimate a pose of a textureless object includes obtaining, by a processing device, a single image of the textureless object. The pose of the textureless object can be inferred from the single image. The method further includes generating, by the processing device, a three dimensional model of the textureless object from a plurality of viewpoints and a plurality of scales obtained from image data of the textureless object, matching, by the processing device, the single image with a discretized render of the three dimensional model via a multi-level illumination invariant tree structure to obtain an alignment of the single image with the discretized render, and estimating, by the processing device, the pose of the textureless object based on the alignment.

Abstract: Systems and methods for estimating the pose of a textureless object are disclosed. A method to estimate a pose of a textureless object includes obtaining, by a processing device, a single image of the textureless object. The pose of the textureless object can be inferred from the single image. The method further includes generating, by the processing device, a three dimensional model of the textureless object from a plurality of viewpoints and a plurality of scales obtained from image data of the textureless object, matching, by the processing device, the single image with a discretized render of the three dimensional model via a multi-level illumination invariant tree structure to obtain an alignment of the single image with the discretized render, and estimating, by the processing device, the pose of the textureless object based on the alignment.

Abstract: Methods and systems for reporting user activity are provided. Sequentially numbering the reports allows for reports being sent at regular intervals to be associated with a timestamp, even if the system clock has not been set. Furthermore, the reporting period may default to an initial value, such as every 24 hours, but receive instructions to be reset to a different value.

Abstract: An intelligent television and methods for user interaction between the intelligent television and the user are provided. In general, a user is provided with navigation, notification, and setup options which enable one or more functions associated with the intelligent television. The presentation of options is based on input received by the intelligent television. As a user provides input to the intelligent television via a remote control or other input device, the intelligent television is configured to interpret the input and provide interactive functionality in the form of content presented to the display of the intelligent television.

Abstract: An intelligent television and methods for user interaction between the intelligent television and the user are provided. In general, a user is provided with navigation, notification, and setup options which enable one or more functions associated with the intelligent television. The presentation of options is based on input received by the intelligent television. As a user provides input to the intelligent television via a remote control or other input device, the intelligent television is configured to interpret the input and provide interactive functionality in the form of content presented to the display of the intelligent television.

Abstract: An intelligent TV is provided. The intelligent TV provides a management system for favorites and reminders. Selecting a program, associated with a television channel, allows a user to be presented with a list of options, such as making the program a favorite, the associated channel a favorite, or setting a reminder for programs of a like title, channel, and time.

Abstract: Procedures for learning and ranking items in a listwise manner are discussed. A listwise methodology may consider a ranked list, of individual items, as a specific permutation of the items being ranked. In implementations, a listwise loss function may be used in ranking items. A listwise loss function may be a metric which reflects the departure or disorder from an exemplary ranking for one or more sample listwise rankings used in learning. In this manner, the loss function may approximate the exemplary ranking for the plurality of items being ranked.

Abstract: Procedures for learning and ranking items in a listwise manner are discussed. A listwise methodology may consider a ranked list, of individual items, as a specific permutation of the items being ranked. In implementations, a listwise loss function may be used in ranking items. A listwise loss function may be a metric which reflects the departure or disorder from an exemplary ranking for one or more sample listwise rankings used in learning. In this manner, the loss function may approximate the exemplary ranking for the plurality of items being ranked.