Abstract: Methods and systems for real-time video enhancement are provided herein. A current frame of a video stream generated by a client device of a plurality of client devices participating in the video conference is identified during a video conference. An enhanced previous frame corresponding to an enhanced version of a previous frame in the video stream is identified. At least the current frame and the enhanced previous frame are provided as input to a machine-learning model. An output of the machine learning model is obtained. The output of the machine learning model indicates an enhanced current frame corresponding to an enhanced version of the current frame. The current frame is replaced with the enhanced current frame in the video stream.

Abstract: A controller (600) for a radiotherapy device (320) is provided; the radiotherapy device (320) being configured to provide therapeutic radiation to a patient (308) via a source (300) of therapeutic radiation, wherein the radiotherapy device (320) comprises a first rotatable member (304), the rotation of which can alter a physical attribute of the therapeutic radiation provided, and a patient support member (310), which is linearly moveable in at least one of a longitudinal direction and a lateral direction. The controller (600) comprises a first rotatable actuator (608) for controlling a movement of the first rotatable member (304) and a second actuator (620) for controlling a movement of the patient support member (310).

Abstract: The present disclosure provides an earphone comprising a sound production component and an ear hook. In a wearing state, the ear hook is configured to place the sound production component at a position near an ear canal but not blocking the ear canal. An inner contour of the ear hook's projection on a user's sagittal plane includes a first curve having an extremum point in a first direction. The first direction is perpendicular to a long-axis direction of a projection of the sound production component on the sagittal plane. The extremum point is located behind a projection point of an upper vertex of the ear hook on the sagittal plane, and the upper vertex is a highest point of an inner contour of the ear hook along the user's vertical axis. An inclination angle of the long-axis direction relative to a horizontal direction is within a range of 13°-21°.

Abstract: The present disclosure discloses an acoustic output device. The acoustic output device may include a speaker assembly, configured to convert audio signals into vibration signals; a functional assembly electrically connected to the speaker assembly; and a supporting structure, configured to be connected to the speaker assembly and the functional assembly, wherein the supporting structure includes a metal body therein, and the metal body may be electrically connected to the functional assembly.

Abstract: The present disclosure provides a headphone including a sound production component and an ear hook. The ear hook and the sound production component form a first projection on a user's sagittal plane. In a non-wearing state, an inner contour, a first end contour, a second end contour of the first projection, and a tangent segment connecting the first end contour and the second end contour jointly define a first closed curve. A first area of the first closed curve ranges 300 mm2-500 mm2. A portion of the inner contour corresponding to the ear hook includes a first curve. The first curve has an extremum point in a first direction perpendicular to a long axis direction of a projection of the sound production component, the extremum point is located behind a projection point of an upper vertex of the ear hook on the sagittal plane.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for an immersive video conference. In the solution, a conference mode for the video conference is determined at first, the conference mode indicating a layout of a virtual conference space for the video conference, and viewpoint information associated with the second participant in the video conference is determined based on the layout. Furthermore, a first view of the first participant is determined based on the viewpoint information and then sent to a conference device associated with the second participant to display a conference image to the second participant. Thereby, on the one hand, it is possible to enable the video conference participants to obtain a more authentic and immersive video conference experience, and on the other hand, to obtain a desired virtual conference space layout according to needs more flexibly.

Abstract: Provided are a core module and an electronic device. The core module may include a core housing, a speaker, and a bracket. The bracket and the speaker may form an acoustic cavity, the core housing may include an acoustic hole, the bracket may include an acoustic channel, and the speaker may include first accommodation space in flow communication with the acoustic cavity. The speaker, the bracket, and the core housing may form second accommodation space that is outside the speaker and isolated from the acoustic cavity. The speaker may include a coil, a frame, and two metal members disposed on the frame. Each of the two metal members may include a first pad, a second pad, and a transition portion. The first pad and the second pad may be exposed from the frame, the first pad may be located within the first accommodation space and connected to the coil.

Abstract: Provided herein are stable hypotonic or isotonic formulations containing active ingredients, such as antiviral compositions, or anti-retroviral compositions for intrarectal delivery to provide prophylaxis against viral infections.

Abstract: In various examples, feature tracking for autonomous or semi-autonomous systems and applications is described herein. Systems and methods are disclosed that merge, using one or more processes, features detected using a feature tracker(s) and features detected using a feature detector(s) in order to track features between images. In some examples, the number of merged features and/or the locations of the merged features within the images are limited. This way, the systems and methods are able to identify merged features that are of greater importance for tracking while refraining from tracking merged features that are of less importance. For example, if the systems and methods are being used to identify features for autonomous driving, a greater number of merged features that are associated with objects located proximate to the driving surface may be tracked as compared to merged features that are associated with the sky.

Abstract: In accordance with implementations of the present disclosure, there is provided a solution for portrait editing and synthesis. In this solution, a first image about a head of a user is obtained. A three-dimensional head model representing the head of the user is generated based on the first image. In response to receiving a command of changing a head feature of the user, the three-dimensional head model is transformed to reflect the changed head feature. A second image about the head of the user is generated based on the transformed three-dimensional head model, and reflects the changed head feature of the user. In this way, the solution can realize editing of features like a head pose and/or a facial expression based on a single portrait image without manual intervention and automatically synthesize a corresponding image.

Abstract: Provided is an environmental sensing method based on model evolution, and the method performs a channel estimation task under the current communication system to obtain channel response data, thereby realizing environmental sensing. Firstly, an interaction mechanism between electromagnetic waves and environmental objective is divided into reflection and transmission. Subsequently, a mathematical model of channel response and environmental objective is constructed, and an environmental sensing problem is modeled as a compressed sensing optimization problem. Lastly, the present disclosure initiates from a baseline model and enables iteration and evolution of the model by solving the objective to solve the compressed sensing optimization problem, ultimately achieving environmental sensing.

Abstract: Provided is an iterative focused millimeter wave integrated communication and sensing method, which converts an environmental sensing problem into a compressed sensing reconstruction problem, and realizes the initial coarse sensing of the environment based on an approximate message passing algorithm; according to a background determining method, the present disclosure divides and determines a target object, removes the influence of background scatters on a receiving signal, and removes the background scatters repeatedly and iteratively, so as to obtain a more accurate focus sensing result of the target object.

Abstract: According to implementations of the present disclosure, there is provided a solution for completing textures of an object. In this solution, a complete texture map of an object is generated from a partial texture map of the object according to a texture generation model. A first prediction on whether a texture of at least one block in the complete texture map is an inferred texture is determined according to a texture discrimination model. A second image of the object is generated based on the complete texture map. A second prediction on whether the first image and the second image are generated images is determined according to an image discrimination model. The texture generation model, the texture and image discrimination models are trained based on the first and second predictions.

Abstract: According to implementations of the subject matter described herein, a solution is proposed for three-dimensional (3D) object detection. In this solution, feature representations of a plurality of points are extracted from point cloud data related to a 3D object. Initial feature representations of a set of candidate 3D objects are determined based on the feature representations of the plurality of points. Based on the feature representations of the plurality of points and the initial feature representations of the set of candidate 3D objects, a detection result for the 3D object is generated by determining self-correlations between the set of candidate 3D objects and cross-correlations between the plurality of points and the set of candidate 3D objects. In this way, without grouping points into candidate 3D objects, the 3D object in a 3D scene can be localized and recognized based on the self-correlations and cross-correlations.

Abstract: In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

Abstract: Provided is an iterative focused millimeter wave integrated communication and sensing method, which converts an environmental sensing problem into a compressed sensing reconstruction problem, and realizes the initial coarse sensing of the environment based on an approximate message passing algorithm; according to a background determining method, the present disclosure divides and determines a target object, removes the influence of background scatters on a receiving signal, and removes the background scatters repeatedly and iteratively, so as to obtain a more accurate focus sensing result of the target object.

Abstract: In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

Abstract: The present invention provides for recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.

Abstract: The present invention provides for the use of recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.