Abstract: In an embodiment, an apparatus includes an energy source, a support platform for holding a wafer, an optical path extending from the energy source to the support platform, and a photomask aligned such that a patterned major surface of the photomask is parallel to the force of gravity, where the optical path passes through the photomask, where the patterned major surface of the photomask is perpendicular to a topmost surface of the support platform.

Abstract: A semiconductor package includes a first die, a second die and a redistribution layer structure. The first die and the second die are disposed laterally. The redistribution layer structure is disposed over and electrically connected to the first die and the second die, wherein the redistribution layer structure includes a plurality of vias and a plurality of lines stacked alternately and electrically connected to each other and embedded by a plurality of polymer layers, and wherein from a top view, first vias of the plurality of vias overlapping with the first die or the second die have an elliptical-like shape.

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.

Abstract: An image segmentation method includes: obtaining an image to be segmented containing a target object; performing at least one image feature fusion processing on associated feature points based on the image to be segmented, and extracting global feature information during each image feature fusion processing, wherein the associated feature points are at least two feature points having a location association relation; and determining, based on the global feature information extracted, a segmentation mask for the target object.

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

Abstract: Current pretrained vision-language models for cross-modal retrieval tasks in English depend upon on the availability of many annotated image-caption datasets for pretraining to have English text. However, the texts are not necessarily in English. Although machine translation (MT) tools may be used to translate text to English, the performance largely relies on MT's quality and may suffer from high latency problems in real-world applications. Embodiments herein address these problems by learning cross-lingual cross-modal representations for matching images and their relevant captions in multiple languages. Embodiments seamlessly combine cross-lingual pretraining objectives and cross-modal pretraining objectives in a unified framework to learn image and text in a joint embedding space from available English image-caption data, monolingual corpus, and parallel corpus. Embodiments are shown to achieve state-of-the-art performance in retrieval tasks on multimodal multilingual image caption datasets.

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.

Abstract: Aspects of the present disclosure involve a system comprising a storage medium storing a program and method for receiving a video comprising a plurality of video segments; selecting a target action sequence that includes a sequence of action phases; receiving features of each of the video segments; computing, based on the received features, for each of the plurality of video segments, a plurality of action phase confidence scores indicating a likelihood that a given video segment includes a given action phase of the sequence of action phases; identifying a set of consecutive video segments of the plurality of video segments that corresponds to the target action sequence, wherein video segments in the set of consecutive video segments are arranged according to the sequence of action phases; and generating a display of the video that includes the set of consecutive video segments and skips other video segments in the video.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for retrieving a video, a device and a medium, and relate to the field of data processing technology, and particularly to the field of smart retrieval technology. The method may include: determining, according to a query text and a candidate video, a unified space feature of the query text and a unified space feature of the candidate video based on a conversion relationship between a text semantic space and a video semantic space; determining a similarity between the query text and the candidate video according to the unified space feature of the query text and the unified space feature of the candidate video; and selecting a target video from the candidate video according to the similarity, and using the target video as a query result.

Abstract: Described herein are tissues containing semiconductor nanomaterials. In some embodiments, the tissues include vascular cells, cardiomyocytes, and/or cardiac fibroblasts. The tissue may be scaffold-free. In some embodiments, the tissue includes an electrically conductive network. The tissue may exhibit synchronized electrical signal propagation within the tissue. In some embodiments, the tissue exhibits increased functional assembly of cardiac cells and/or increased cardiac specific functions compared to a cardiac tissue prepared using a conventional tissue culture method. Methods of preparing and using such tissues are also described herein.

Abstract: Systems and methods are disclosed for capturing multiple sequences of views of a three-dimensional object using a plurality of virtual cameras. The systems and methods generate aligned sequences from the multiple sequences based on an arrangement of the plurality of virtual cameras in relation to the three-dimensional object. Using a convolutional network, the systems and methods classify the three-dimensional object based on the aligned sequences and identify the three-dimensional object using the classification.

Abstract: The present invention discloses a light emitting device. The device may include a printed circuit board, a reflective layer formed on the printed circuit board, a light guide layer formed on the reflective layer, and one or more light sources provided on one or more sides of the light guide layer to allow light to enter the light guide layer from the one or more sides, wherein the light guide layer may be bent with one or more curves, and wherein one surface of the light guide layer may be formed with a plurality of microstructures so as to achieve the best lighting effect and to increase luminance uniformity.

Abstract: A vehicular headlamp includes a reflector, a lighting element and a shade with a reflection body. The shade is fixed to the reflector, with the reflection body extending forward from the front end of the shade. The reflection body includes a reflective surface inclined to face a front of the headlamp and a supplemental light plane inclined to face a rear of the headlamp. The lighting element emits light to the reflector, which is then reflected towards the upper surface of the shade, the reflective surface of the reflection body, and the supplemental light plane, before being projected as a main light beam towards an outside of the vehicle. The reflective surface and the supplemental light plane redirect at least a portion of light from a lower part of the main light beam and the supplemental light plane redirect at least a portion of projected on an opposite lane, an upper part of the main light beam.

Abstract: A shading module for enhancing the light intensity of a vehicular headlamp includes a shade, a reflection body, and a lighting element. The shade is fixed to a reflector of the vehicular headlamp and located under the reflector. The reflection body is extended frontward from the front end of the shade and has a reflective surface and a supplemental light plane. The lighting element emits light to the reflector. The reflector reflects the light to the upper surface of the shade, the reflective surface of the reflection body, and the supplemental light plane, so as to project a main light beam on an environment outside the vehicle. The reflective surface reduces the light intensity of a lower part of the main light beam projected on an opposite lane, and the supplemental light plane enhances the light intensity of an upper part of the main light beam.

Abstract: A lighting structure of a vehicular headlamp module includes a reflector, and a base is located under the reflector and has a lighting element. A shade is integrated at the base, and its central region has a shape of arc and protrudes toward the base. A top of a first reflection body has a reflective inclined plane, which is located at the front end of the base and in back of the shade, A second reflection body has a light-blocking inclined plane, which is located at the front end of the base and in front of the shade and located at the other side of the prominent point. A projection lens set is connected with the base. The light emitted from the lighting element is transmitted through, reflected to and refracted by the projection lens set to form a clear light-distributed pattern that prevents from glare.

Abstract: The present invention discloses a light emitting device. The device may include a printed circuit board, a reflective layer formed on the printed circuit board, a light guide layer formed on the reflective layer, and one or more light sources provided on one or more sides of the light guide layer to allow light to enter the light guide layer from the one or more sides, wherein the light guide layer may be bent with one or more curves, and wherein one surface of the light guide layer may be formed with a plurality of microstructures so as to achieve the best lighting effect and to increase luminance uniformity.

Abstract: Provided herein are tissues containing semiconductor nanomaterials and methods of preparing and using the same.