Abstract: In various examples, methods and systems are provided for estimating depth values for images (e.g., from a monocular sequence). Disclosed approaches may define a search space of potential pixel matches between two images using one or more depth hypothesis planes based at least on a camera pose associated with one or more cameras used to generate the images. A machine learning model(s) may use this search space to predict likelihoods of correspondence between one or more pixels in the images. The predicted likelihoods may be used to compute depth values for one or more of the images. The predicted depth values may be transmitted and used by a machine to perform one or more operations.

Abstract: The invention relates to an improved process for synthesizing 6-(cyclopropaneamido)-4-((2-methoxy-3-(1-methyl-1H-1,2,4-triazol-3-yl)phenyl)amino)-5N-(methyl-d3)pyridazine-3-carboxamide of the formula: Compound I is currently in clinical trials for the treatment of auto-immune and auto-inflammatory diseases such as psoriasis.

Abstract: Systems, apparatus, articles of manufacture and methods for face augmentation in video are disclosed. An example apparatus includes executable code to detect a face of a subject in the video, detect a gender of the subject based on the face, detect a skin tone of the subject based on the face, apply a first process to smooth skin on the face in the video, apply a second process to change the skin tone of the face, apply a third process to slim the face, apply a fourth process to adjust a size of eyes on the face, and apply a fifth process to remove an eye bag from the face. One or more of the first process, the second process, the third process, the fourth process, or the fifth process adjustable based on one or more of the gender or an age. The example apparatus also includes one or more processors to generate modified video with beauty effects, the beauty effects based on one or more of the first process, the second process, the third process, the fourth process, or the fifth process.

Abstract: Embodiments of this application provide a converter control method, a converter control apparatus, and a readable storage medium. The control method includes: obtaining a real-time input voltage and a real-time output voltage of a converter; determining a corresponding real-time closed-loop control output value of the converter based on the real-time input voltage and the real-time output voltage by using a closed-loop control algorithm; determining a real-time control strategy of a switch tube of the converter from at least three control strategies based on the real-time closed-loop control output value; and controlling the switch tube based on the determined real-time control strategy. The control method is used to implement efficient and high-precision voltage stabilization control.

Abstract: The present disclosure generally relates to the field of biological control of Ectropis. oblique and Ectropis grisescens as pests in tea plantations, and in particular to a high efficient sex pheromone lures for E. oblique and E. grisescens. By combinating (3Z,6Z,9Z)-octadecatriene with two different configurations of (3Z,9Z)-6,7-epoxy-octadecadiene and (3Z,6Z)-9,10-epoxy-octadecadiene, high efficient sex pheromone lures were obtained. The high efficient sex pheromone lures have significantly improved trapping effect on E. oblique and E. grisescens.

Abstract: This application relates to the field of robot control, and provides a motion state control method and apparatus, a device, and a readable storage medium. The method includes the following steps: Step 301: Acquire basic data and motion state data, the basic data being used for representing a structural feature of a wheeled robot, and the motion state data being used for representing a motion feature of the wheeled robot. Step 302: Determine a state matrix of the wheeled robot based on the basic data and the motion state data, the state matrix being related to an interference parameter of the wheeled robot, the interference parameter corresponding to a balance error of the wheeled robot. Step 303: Determine, based on the state matrix, a torque for controlling the wheeled robot. Step 304: Control, by using the torque, the wheeled robot to be in a standstill state.

Abstract: A method includes: obtaining current motion state data of the wheel-legged robot, the current motion state data representing motion features of the wheel-legged robot, inputting the current motion state data into a nonlinear controller to obtain a target joint angular acceleration reference value of a target robot joint of the wheel-legged robot, and inputting the target joint angular acceleration reference value into a whole-body dynamics controller to output a joint torque for controlling the wheel-legged robot to perform a control task.

Abstract: A bilateral teleoperation system includes: a primary-end operation platform and a secondary-end operation platform. The primary-end operation platform includes: a primary-end support, primary-end mechanical arms, a mechanical hand control assembly, and a first controller, a root end of the primary-end mechanical arm being arranged on the primary-end support, and a tail end of the primary-end mechanical arm being connected to the mechanical hand control assembly.

Abstract: Embodiments of the present application provide an online program updating method, including: receiving an external command, acquiring an updated program file, and storing the updated program file into the backup area through a program in the application area, where the external command includes the updated program file, and running the updated program file when a program counter jumps to the backup area. This solution, after the program counter jumps to the backup area, runs the updated program file, thereby providing power continuously while updating the online program and improving the reliability of the power supply system.

Abstract: A computerized method for reducing domain noise, creating and summarizing human-written sentences into clusters for efficient tagging in natural language processing comprising: receiving a typed, handwritten or printed text; implementing an optical character recognition (OCR) process on human written text to generate a digital version of the human written text; splitting the digital version of the typed, handwritten or printed text into an array of sentences, using a sentence splitter to generate a split sentence version; determining a domain of the human written text; based on the domain, implementing a domain noise reduction process on the split sentences version; hierarchically clustering the split sentences version after the domain noise reduction process; and summarizing the clustered sentences and reducing the amount of data to be tagged.

Abstract: A mechanical leg comprises a frame, a retractable member, a wheel, an extension and retraction driving member, a travel driving member, an auxiliary leg, and an auxiliary wheel. The extension and retraction driving member is located on a side of the frame. The retractable member is connected to the extension and retraction driving member. The wheel is connected to the retractable member. The wheel is further connected to the travel driving member. A first end of the auxiliary leg is connected to the auxiliary wheel, and a second end of the auxiliary leg is located on the frame. The retractable member extends under the driving of the extension and retraction driving member to drive the wheel to jump. The wheel is driven by the travel driving member to move. When the auxiliary wheel contacts the ground, the mechanical leg moves with the rolling of the wheel and the auxiliary wheel.

Abstract: Disclosed is a BRD4 inhibitor as shown in formula I, belonging to the field of compound drugs. The compound provided has a good inhibitory effect on prostate cancer cell proliferation, and can be used for preparing a drug combatting tumors, autoimmune or inflammatory diseases and viral infection, and in particular an anti-prostate cancer drug.

Abstract: An electrical connector assembly includes: a first frame defining plural accommodating cavities; plural transmission units partially received in the accommodating cavities, respectively, each of the transmission units comprising a card edge connector received in a corresponding accommodating cavity, a motherboard connector, and a circuit board connected with the card edge connector and the motherboard connector; and a second frame attached to the first frame; wherein the second frame presses against and hold the circuit boards in position.

Abstract: This application provides a capacitance detection circuit for detecting capacitance of a capacitor element within a capacitor array. The circuit includes a capacitance detection module for detecting a first capacitance of a first capacitor set, a second capacitance of a second capacitor set, and a third capacitance of the third capacitor set, the first capacitor set comprising the capacitor element and a row capacitor element in the same row of the capacitor array as the capacitor element, the second capacitor set comprising the capacitor element and a column capacitor element in the same column of the capacitor array as the capacitor element, the third capacitor set comprising the row capacitor element and the column capacitor element; and a processing module, configured to obtain the capacitance of the capacitor element according to the first capacitance, the second capacitance and the third capacitance.

Abstract: The present disclosure discloses a method for image rendering. The method may include obtaining first image data by a first processing device; performing a first rendering operation on the first image data; and determining second image data based on the first image data. The method may further include receiving a non-rendering operation on the second image data by the second processing device; and performing a second rendering operation on the non-rendered second image data.

Abstract: A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or stages chained together that sequentially process different views of the 3D environment. An example DNN may include a first stage that performs class segmentation in a first view (e.g., perspective view) and a second stage that performs class segmentation and/or regresses instance geometry in a second view (e.g., top-down). The DNN outputs may be processed to generate 2D and/or 3D bounding boxes and class labels for detected objects in the 3D environment. As such, the techniques described herein may be used to detect and classify animate objects and/or parts of an environment, and these detections and classifications may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.

Abstract: A deep neural network(s) (DNN) may be used to detect objects from sensor data of a three dimensional (3D) environment. For example, a multi-view perception DNN may include multiple constituent DNNs or stages chained together that sequentially process different views of the 3D environment. An example DNN may include a first stage that performs class segmentation in a first view (e.g., perspective view) and a second stage that performs class segmentation and/or regresses instance geometry in a second view (e.g., top-down). The DNN outputs may be processed to generate 2D and/or 3D bounding boxes and class labels for detected objects in the 3D environment. As such, the techniques described herein may be used to detect and classify animate objects and/or parts of an environment, and these detections and classifications may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.

Abstract: A focusing device includes a fixing base, a screw rod, a focusing gear, a height adjusting ring, and a focusing ring. A first through hole is defined in the fixing base, the screw rod with a first thread is movably mounted on the fixing base. The focusing gear is also mounted on the fixing base and defines a third through hole corresponding to the first through hole. An outer wall of the focusing gear has an engaging portion meshing with the first thread. The focusing ring is movably received in the third through hole and located on a side of the height adjusting ring away from the fixing base. The height adjusting ring can adjust a distance between the focusing ring and a lens module to avoid distortion of an optical lens in any circumstances during focusing.

Abstract: The present invention discloses a method for point cloud up-sampling based on deep learning, including: obtaining training data including a first number of sparse input points and a second number of dense input points; constructing a deep network model to be used for respectively performing replication and sampling operation based on curvature on initial eigenvectors extracted from the first number of sparse input points to obtain a second number of intermediate eigenvectors, performing splicing operation on each intermediate eigenvector, inputting the spliced intermediate eigenvectors into a multilayer perceptron, and determining sampling prediction points based on the sampling eigenvectors output by the multilayer perceptron; training the deep network model until an objective function determined by the sampling prediction points and the dense input points converges; and testing the deep network model to obtain point cloud data of an object under test after up-sampling.