Abstract: A system, neural network, and corresponding method generate 3D landmarks associated with an object in a 2D image. An embodiment is a system comprising a neural network detector configured to produce planar coordinates of landmarks at points of the object in the 2D image and a depth coordinate estimator. The planar coordinates include planar coordinate pairs. The depth coordinate estimator is configured to receive the 2D image and the planar coordinates and to estimate a depth coordinate for each planar coordinate pair of each landmark to generate the 3D landmarks. The system reduces network parameters from MB to KB and has better performance relative to state-of-the-art methods. The system may be configured to apply the 3D landmarks for face alignment, virtual face makeup, face recognition, eye gaze tracking, face synthesis, or other face related application.

Abstract: In a described example, an electrical apparatus includes: a metal layer formed over a non-device side of a semiconductor device die, the semiconductor device die having devices formed on a device side of the semiconductor device die opposite the non-device side; a first side of the metal layer bonded to a die mount pad on a package substrate; a second side of the metal layer formed over a roughened surface on the non-device side of the semiconductor device die, the roughened surface having an average surface roughness (Ra) between 40 nm and 500 nm; bond pads on the semiconductor device die electrically coupled to conductive leads on the package substrate; and mold compound covering at least a portion of the semiconductor device die and at least a portion of the conductive leads.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: A distributed acoustic sensing (DAS) system based on space-division multiplexing with multi-core fiber (MCF) is proposed. It relates to a technical field of distributed optical fiber sensing. The present invention maintains the advantage of single-ended measurement in the standard DAS system, and realizes the intensity accumulation of the Rayleigh backscattering light within each core of the MCF, which can greatly improve the strain resolution of DAS systems. Moreover, the introduction of optical switch can make different code sequences transmit in the different core of the MCF simultaneously, which can make the single-pulse response with coding gain demodulated without sacrificing the frequency responding bandwidth. Furthermore, the utilization of space-division multiplexing can make multiple pulses with precious time delay transmit in the MCF simultaneously, which can greatly improve the frequency responding bandwidth of DAS system.

Abstract: A long-distance FODAS amplification system includes a distributed amplification unit, which includes a LEAF, a pump, and a WDM; wherein the pump light passes through the WDM into the LEAF, so as to realize distributed amplification. A long-distance FODAS amplification method includes steps of: 1) modulating and amplifying a light source to obtain the probe pulse light; 2) guiding the pump light and the probe pulse light into LEAF; 3) combining the probe pulse light with the pump light to perform distributed amplification, so as to generate power-raised Rayleigh backscattered light; and 4) converting and demodulating the Rayleigh backscattered light after being output through the circulator, so as to complete distributed sensing.

Abstract: System and method for processing and presenting a conversation. For example, a system includes a sensor configured to capture an audio-form conversation, and a processor configured to automatically transform the audio-form conversation into a transformed conversation. The transformed conversation includes a synchronized text, and the synchronized text is synchronized with the audio-form conversation. Additionally, the system includes a presenter configured to present the transformed conversation including the synchronized text and the audio-form conversation.

Abstract: Embodiments provide functionality for identifying joints and limbs in images. An embodiment extracts features from an image to generate feature maps and, in turn, processes the feature maps using a single convolutional neural network trained based on a target model that includes joints and limbs. The processing generates both a directionless joint confidence map indicating confidence with which pixels in the image depict one or more joints and a directionless limb confidence map indicating confidence with which the pixels in the image depict one or more limbs between adjacent joints of the one or more joints, wherein adjacency of joints is provided by the target model. To continue, indications of the one or more joints and the one or more limbs in the image are generated using the directionless joint confidence map, the directionless limb confidence map, and the target model. Embodiments can be deployed on mobile and embedded systems.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: The present invention relates to a polishing pad and a method for making the same. The polishing pad includes a base layer and a polishing layer. The base layer has a first surface and a second surface. The polishing layer is disposed on the first surface of the base layer and has a plurality of second fibers, a polymeric elastomer and a plurality of pores. The second fibers are arranged irregularly and cross each other to form the pores, and the polymeric elastomer is attached to the second fibers and does not fill the pores.

Abstract: Embodiments provide methods and systems for image generation through use of adversarial networks. An embodiment trains an image generator comprising (i) a generator implemented with a first neural network configured to generate a fake image based on a target segmentation, (ii) a discriminator implemented with a second neural network configured to distinguish a real image from a fake image and output a discrimination result as a function thereof and (iii) a segmentor implemented with a third neural network configured to generate a segmentation from the fake image. The training includes (i) operating the generator to output the fake image to the discriminator and the segmentor and (ii) iteratively operating the generator, discriminator, and segmentor during a training period, whereby the discriminator and generator train in an adversarial relationship with each other and the generator and segmentor train in a collaborative relationship with each other.

Abstract: A system and method are provided to detect, analyze and digitally remove makeup from an image of a face. An autoencoder-based framework is provided to extract attractiveness-aware features to perform an assessment of facial beauty.

Abstract: A portable flame electric generation device having metal-supported solid oxide fuel cells includes a furnace, a heat shield structure, a plurality of metal-supported solid oxide fuel cells and a housing structure. Each of the metal-supported solid oxide fuel cells includes a porous metal substrate, a first anode layer, a second anode layer, an anode isolation layer, an electrolyte layer, a cathode isolation layer, a cathode interface layer and a cathode current-collecting layer. The metal-supported solid oxide fuel cell is capable of quickly starting up and withstanding thermal shocks, and also liquefied fuel cartridges are applied as heating and fuel sources for transforming the CO and H2 fuels into electricity via electrochemical reactions.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: A hybrid distributed amplification method based on a random fiber laser generated within erbium fiber with low doping concentration, i.e. weak erbium-doped fiber (WEDF), which includes: Step 1. constructing a fiber link via WEDF; Step 2. generating the random fiber laser based on the fiber link, the pump source, the wavelength division multiplexer and the strong feedback module; Step 3. constructing the spatial equalized gain based on hybrid gain of the erbium fiber and random fiber laser; Step 4. the signal is amplified by the hybrid spatial equalized gain. The present invention solves the typical problem of high laser threshold and low pump conversion efficiency when conventional fiber is used to generate random fiber laser for distributed amplification.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: Embodiments provide methods and systems for image generation through use of adversarial networks. An embodiment trains an image generator comprising (i) a generator implemented with a first neural network configured to generate a fake image based on a target segmentation, (ii) a discriminator implemented with a second neural network configured to distinguish a real image from a fake image and output a discrimination result as a function thereof and (iii) a segmentor implemented with a third neural network configured to generate a segmentation from the fake image. The training includes (i) operating the generator to output the fake image to the discriminator and the segmentor and (ii) iteratively operating the generator, discriminator, and segmentor during a training period, whereby the discriminator and generator train in an adversarial relationship with each other and the generator and segmentor train in a collaborative relationship with each other.

Abstract: A long-distance FODAS amplification system includes a distributed amplification unit, which includes a LEAF, a pump, and a WDM; wherein the pump light passes through the WDM into the LEAF, so as to realize distributed amplification. A long-distance FODAS amplification method includes steps of: 1) modulating and amplifying a light source to obtain the probe pulse light; 2) guiding the pump light and the probe pulse light into LEAF; 3) combining the probe pulse light with the pump light to perform distributed amplification, so as to generate power-raised Rayleigh backscattered light; and 4) converting and demodulating the Rayleigh backscattered light after being output through the circulator, so as to complete distributed sensing.

Abstract: A system and method are provided to detect, analyze and digitally remove makeup from an image of a face. An autoencoder-based framework is provided to extract attractiveness-aware features to perform an assessment of facial beauty.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: A method of converting a vector corresponding to an input image includes receiving input vector data associated with an input image including an object; and converting the received input vector data into feature data based on a projection matrix having a fixed rank, wherein a first dimension of the input vector data is higher than a second dimension of the feature data.