Abstract: The present disclosure discloses a lighting device and a ceiling light, the lighting device includes: a chassis, at least one lighting module, a drive power supply, and a first mounting component; the lighting module and the drive power supply are arranged on the chassis; the first mounting component is configured to mount the lighting module and the drive power supply on the chassis in a covering mode, the first mounting component includes a main body unit, at least one first accommodating part, and at least one second accommodating part, the first accommodating part and the second accommodating part are both arranged on the main body unit; and one end of the lighting module is electrically connected in the first accommodating part, one end of the drive power supply is connected in the second accommodating part, and the drive power supply supplies power to the lighting module.

Abstract: A system, article, and method of deep supervision object detection for reducing resource usage is provided for image processing and that uses depth-wise dense blocks.

Abstract: An example apparatus for semantic image segmentation includes a receiver to receive an image to be segmented. The apparatus also includes a gated dense pyramid network comprising a plurality of gated dense pyramid (GDP) blocks to be trained to generate semantic labels for each pixel in the received image. The apparatus further includes a generator to generate a segmented image based on the generated semantic labels.

Abstract: An electrical connector and luminaire assembly are provided. The electrical connector includes a base including a bottom wall and two side walls, the two side walls being on both sides of the bottom wall, and the bottom wall and the two side walls defining a receiving channel; a first printed circuit board fixed on the base, the first printed circuit board and the receiving channel being respectively located at two sides of the bottom wall; and a plurality of first conductive terminals electrically connected to the first printed circuit board and extending through the bottom wall of the base into the receiving channel.

Abstract: The present disclosure provides an outdoor lighting fixture, and a light body of the outdoor lighting fixture includes: a light-emitting component and a front cover, where the front cover includes a front cover housing and an annular lens, and the annular lens is provided with a light entry extremity attached to the light-emitting component, and a light exit extremity coupled with the front cover housing.

Abstract: A horn mounting structure, includes: a shell, a sound hole is formed at a side surface of the shell; a mounting groove formed inside the shell, and the sound hole is communicated with the mounting groove; a holder, the holder is bonded in the mounting groove through a sealant, and a front sound chamber is formed at one side of the holder facing to the sound hole, and a horn, and the horn is bonded to one side of the holder facing away from the shell through the sealant.

Abstract: Embodiments are directed to a composite binary decomposition network. An embodiment of a computer-readable storage medium includes executable computer program instructions for transforming a pre-trained first neural network into a binary neural network by processing layers of the first neural network in a composite binary decomposition process, where the first neural network having floating point values representing weights of various layers of the first neural network. The composite binary decomposition process includes a composite operation to expand real matrices or tensors into a plurality of binary matrices or tensors, and a decompose operation to decompose one or more binary matrices or tensors of the plurality of binary matrices or tensors into multiple lower rank binary matrices or tensors.

Abstract: Techniques related to implementing convolutional neural networks for face or other object recognition are discussed. Such techniques may include applying, in turn, a depth-wise separable convolution, a condense point-wise convolution, and an expansion point-wise convolution to input feature maps to generate output feature maps such that the output from the expansion point-wise convolution has more channels than the output from the condense point-wise convolution.

Abstract: The present disclosure discloses a lens, a light source module and a lighting device. The lens includes a bottom surface, an inner surface, an outer surface, and a first accommodating chamber configured for accommodating a light-emitting assembly, a wall face of the first accommodating chamber being an inner surface of the lens; where, the inner surface has a sawtooth shape, and a first light incident surface, a second light incident surface and a third light incident surface, the outer surface includes a first light-emitting surface, a second light-emitting surface and a third light-emitting surface.

Abstract: Techniques are provided for training and operation of a topic-guided image captioning system. A methodology implementing the techniques according to an embodiment includes generating image feature vectors, for an image to be captioned, based on application of a convolutional neural network (CNN) to the image. The method further includes generating the caption based on application of a recurrent neural network (RNN) to the image feature vectors. The RNN is configured as a long short-term memory (LSTM) RNN. The method further includes training the LSTM RNN with training images and associated training captions. The training is based on a combination of: feature vectors of the training image; feature vectors of the associated training caption; and a multimodal compact bilinear (MCB) pooling of the training caption feature vectors and an estimated topic of the training image. The estimated topic is generated by an application of the CNN to the training image.

Abstract: A color picking device and a color picking remote controller are provided. The color picking device is configured to acquire a color of a target object, which includes: a substrate; a light emitting module configured to emit white light toward the target object, where the light emitting module that includes a light source and a light distribution element; and a color receiving module configured to receive light reflected by the target object and having the color of the target object after the target object is illuminated by the white light, where the color receiving module includes a first housing, a lens assembly disposed in the first housing, and the sensing element, where the lens assembly includes a first convex lens, an aperture, a concave lens and a second convex lens that are coaxially arranged from top to bottom along a top of the first housing.

Abstract: Techniques and apparatus for generating dense natural language descriptions for video content are described. In one embodiment, for example, an apparatus may include at least one memory and logic, at least a portion of the logic comprised in hardware coupled to the at least one memory, the logic to receive a source video comprising a plurality of frames, determine a plurality of regions for each of the plurality of frames, generate at least one region-sequence connecting the determined plurality of regions, apply a language model to the at least one region-sequence to generate description information comprising a description of at least a portion of content of the source video. Other embodiments are described and claimed.

Abstract: An apparatus includes a substrate including an identification code on a first side of the substrate and near a perimeter of the substrate. The apparatus includes a stiffener structure attached to the first side of the substrate. The stiffener structure has a cutout in an outer perimeter of the stiffener structure. The stiffener structure is oriented with respect to the substrate to cause the cutout to expose the identification code. The cutout may have a first dimension and a second dimension orthogonal to the first dimension. The first dimension may exceed a corresponding first dimension of the identification code and the second dimension may exceed a corresponding second dimension of the identification code, thereby forming a void region between the identification code and edges of the stiffener structure.

Abstract: An example apparatus for visual question answering includes a receiver to receive an input image and a question. The apparatus also includes an encoder to encode the input image and the question into a query representation including visual attention features. The apparatus includes a knowledge spotter to retrieve a knowledge entry from a visual knowledge base pre-built on a set of question-answer pairs. The apparatus further includes a joint embedder to jointly embed the visual attention features and the knowledge entry to generate visual-knowledge features. The apparatus also further includes an answer generator to generate an answer based on the query representation and the visual-knowledge features.

Abstract: A lens is provided. The lens includes a bottom surface, an inner surface, an outer surface, and a first receiving chamber configured to receive a light-emitting component; the inner surface includes one first light-incident surface and two second light-incident surfaces, the two second light-incident surfaces are opposite to each other, the first light-incident surface is a curved surface or a planar surface, the bottom surface is a surface adjacent to the second light-incident, the outer surface includes two first reflective surfaces forming a V-shaped structure; two first light-exiting surfaces located at both sides of the two first reflective surfaces; and two second light-exiting surfaces adjacent to the first light-exiting surfaces.

Abstract: An installation assembly of a ceiling lighting fixture, a ceiling lighting fixture and a ceiling lamp are provided. The installation assembly includes a fixing base and a connecting base detachably connected with the fixing base. One of the fixing base and the connecting base is provided with a snap recess, and the other of the fixing base and the connecting base is provided with an elastic buckle which is capable of being snap-fitted with the snap recess. The elastic buckle has a guide slope, the elastic buckle is capable of being compressed as the connecting base moves toward the fixing base, and being introduced into the snap recess through the guide slope. The elastic buckle is rotationally fitted with the snap recess, and the snap recess is provided with an avoidance notch for the elastic buckle to be detached.

Abstract: Video analysis may be used to determine who is watching television and their level of interest in the current programming Lists of favorite programs may be derived for each of a plurality of viewers of programming on the same television receiver.

Abstract: The present disclosure provides a lens combination and an illumination device adopting the lens combination, where, the lens combination configured for accommodation at least a first light source and a second light source, includes: a first lens, including a first light incident surface, a first light emergent surface and a first accommodation space located on a side of the first light incident surface and configured for accommodating the first light source, where the first light incident surface and the first light emergent surface are of a curved surface shape; and a second lens, including a second light incident surface, a second light emergent surface, and a second accommodation space located on a side of the second light incident surface and configured for accommodating the second light source, where the second light incident surface and the second light emergent surface are of a curved surface shape.

Abstract: Methods and systems may provide for facial recognition of at least one input image utilizing hierarchical feature learning and pair-wise classification. Receptive field theory may be used on the input image to generate a pre-processed multi-channel image. Channels in the pre-processed image may be activated based on the amount of feature rich details within the channels. Similarly, local patches may be activated based on the discriminant features within the local patches. Features may be extracted from the local patches and the most discriminant features may be selected in order to perform feature matching on pair sets. The system may utilize patch feature pooling, pair-wise matching, and large-scale training in order to quickly and accurately perform facial recognition at a low cost for both system memory and computation.

Abstract: An automatic handrail tensioning system and a method for adjusting the tension degree of a handrail, and belongs to the technical field of escalators. The automatic handrail tensioning system of the present invention comprises: a sensor for detecting information that can reflect a tension degree of the handrail; a controller for determining the tension degree information of the handrail according to the information detected by the sensor, and generating a corresponding control instruction for adjusting the tension degree of the handrail based on the tension degree information; and an actuator for driving a tensioning device to adjust the tension degree of the handrail based on the control instruction.