Abstract: A method for replicating a holographic optical element and a holographic optical element replicated thereby are provided. The holographic optical element is larger than a master. The master has a holographic grating pattern generated on the master by interference of the reflected, diffracted or transmitted beam generated by irradiating the master having a specific diffraction grating pattern formed thereon with a laser beam.

Abstract: The present disclosure provides a waveguide display apparatus. The waveguide waveguide display apparatus of the present disclosure is a waveguide display apparatus for correcting curved surface reflection distortion, the waveguide display apparatus including a waveguide for guiding light inputted from the outside; a first diffractive optical element disposed at the waveguide, and diffracting the light inputted from the outside to the inside of the waveguide; and a second diffractive optical element disposed at the waveguide, and diffracting the light guided by the waveguide to output a plurality of diffracted lights in a direction of a curved surface reflector located outside, wherein the second diffractive optical element has a structure of a diffraction grating corresponding to a curvature of the curved surface reflector such that the diffracted lights are reflected at different locations of the curved surface reflector in directions parallel to each other.

Abstract: One aspect of the present disclosure is a pharmaceutical composition which includes (R)—N-[1-(3,5-difluoro-4-methansulfonylamino-phenyl)-ethyl]-3-(2-propyl-6-trifluoromethyl-pyridin-3-yl)-acrylamide as a first component and a cellulosic polymer as a second component, wherein the composition of one aspect of the present disclosure has a formulation characteristic in which crystal formation is delayed for a long time.

Abstract: The present invention provides a stable liquid pharmaceutical formulation containing: an antibody or its antigen-binding fragment; a surfactant; a sugar or its derivative; and a buffer. The stable liquid pharmaceutical formulation according to the present invention has low viscosity while containing a high content of the antibody, has excellent long-term storage stability based on excellent stability under accelerated conditions and severe conditions, and may be administered subcutaneously.

Abstract: A pixel includes: a storage capacitor connected between a first power supply voltage and a gate node; a first transistor including a gate electrode connected to the gate node; a second transistor to transfer a data signal to a source of the first transistor in response to a scan signal; a third transistor to diode-connect the first transistor in response to the scan signal, and including first and second sub-transistors serially connected between the gate node and a drain of the first transistor; a fourth transistor to transfer an initialization voltage to the gate node in response to an initialization signal, and including third and fourth sub-transistors serially connected between the gate node and the initialization voltage; and an organic light emitting diode including a cathode connected to a second power supply voltage. At least one of the second and fourth sub-transistors includes a bottom electrode.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for automatic tagging of videos. In particular, in one or more embodiments, the disclosed systems generate a set of tagged feature vectors (e.g., tagged feature vectors based on action-rich digital videos) to utilize to generate tags for an input digital video. For instance, the disclosed systems can extract a set of frames for the input digital video and generate feature vectors from the set of frames. In some embodiments, the disclosed systems generate aggregated feature vectors from the feature vectors. Furthermore, the disclosed systems can utilize the feature vectors (or aggregated feature vectors) to identify similar tagged feature vectors from the set of tagged feature vectors. Additionally, the disclosed systems can generate a set of tags for the input digital videos by aggregating one or more tags corresponding to identified similar tagged feature vectors.

Abstract: Antibody-mediated rejection (ABMR) is one of the main obstacles to successful transplantation, including ABO blood group-incompatible (ABOi) transplantation. C4d deposition is a marker of ABMR and is also found in most ABOi allograft tissues. Described herein are anti-C4d CAR Tregs that suppress ABMR in ABOi allografts. Anti-C4d CAR Tregs prepared by retroviral transduction of CAR into CD62L +CD4 +CD25 +Tregs, expressed Foxp3, CD25, CTLA-4, LAP, and GITR to similar extents as non-transduced Tregs. Anti-C4d CAR Tregs were activated by specific binding to C4d and suppressed in vitro T cell proliferation as well as non-transduced Tregs. Furthermore, adoptive transfer of anti-C4d CAR Tregs significantly prolonged mouse ABOi heart allograft survival (P<0.05).

Abstract: Disclosed are a substrate treating apparatus and a substrate treating method. According to an embodiment of the inventive concept, the purge operation of the purge nozzle is performed while the nozzle arm is moved from the first substrate support member to the second substrate support member, it hardly influences the operation of treating the substrate while the nozzle arm is moved from the first substrate support member to the second substrate support member. According to an embodiment of the inventive concept, the substrate treating apparatus may perform an operation of purging the photosensitive liquid nozzle while the treatment liquid supply unit performs a process of supplying the photosensitive liquid to the substrate. Accordingly, because the operation of purging the photosensitive liquid nozzle is performed at the same time when the substrate treating apparatus performs a process, productivity may be improved.

Abstract: The present invention relates to an oral solid formulation for colon cleansing, wherein the oral solid formulation minimizes side effects, has excellent dosing convenience and medication compliance, enables a pharmaceutical effect to be exhibited quickly, and has excellent colon cleansing ability.

Abstract: An organic light emitting diode display according to an exemplary embodiment includes: a substrate; a first buffer layer on the substrate; a first semiconductor layer on the first buffer layer; a first gate insulating layer on the first semiconductor layer; a first gate electrode and a blocking layer on the first gate insulating layer; a second buffer layer on the first gate electrode; a second semiconductor layer on the second buffer layer; a second gate insulating layer on the second semiconductor layer; and a second gate electrode on the second gate insulating layer.

Abstract: An apparatus for measuring a concentration of a target gas includes: a gas sensor including a sensing layer having an electric resistance that changes by an oxidation reaction or a reduction reaction between gas molecules and the sensing layer; and a processor configured to, in response to the target gas being introduced along with air into the gas sensor, monitor a change of the electric resistance of the sensing layer and determine the concentration of the target gas by analyzing a shape of the change of the electric resistance.

Abstract: This disclosure describes one or more implementations of a panoptic segmentation system that generates panoptic segmented digital images that classify both known and unknown instances of digital images. For example, the panoptic segmentation system builds and utilizes a panoptic segmentation neural network to discover, cluster, and segment new unknown object subclasses for previously unknown object instances. In addition, the panoptic segmentation system can determine additional unknown object instances from additional digital images. Moreover, in some implementations, the panoptic segmentation system utilizes the newly generated unknown object subclasses to refine and tune the panoptic segmentation neural network to improve the detection of unknown object instances in input digital images.

Abstract: Systems and methods for video processing are described. Embodiments of the present disclosure identify an image that depicts an expression of a face; encode the image to obtain a latent code representing the image; edit the latent code to obtain an edited latent code that represents the face with a target attribute that is different from an original attribute of the face and with an edited expression that is different from the expression of the face; modify the edited latent code to obtain a modified latent code that represents the face with the target attribute and a modified expression, wherein a difference between the expression and the modified expression is less than a difference between the expression and the edited expression; and generate a modified image based on the modified latent code, wherein the modified image depicts the face with the target attribute and the modified expression.

Abstract: Embodiments are disclosed for performing per-clip object segmentation of objects in a video sequence using machine learning. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a query video sequence and memory data, the memory data including a memory video frame from the query video sequence and an annotated memory video frame including an object mask for an object in the memory video frame, segmenting the query video sequence into a plurality of query video clips and passing a first set of query video frames of a first query video clip and the memory data through a trained encoder-decoder network, predicting a modified set of query video frames, including predictions of object masks for the object, and updating the memory data to include one or more frames of the first set of query video frames and the modified set of query video frames.

Abstract: In implementations of systems for joint trimap estimation and alpha matte prediction, a computing device implements a matting system to estimate a trimap for a frame of a digital video using a first stage of a machine learning model. An alpha matte is predicted for the frame based on the trimap and the frame using a second stage of the machine learning model. The matting system generates a refined trimap and a refined alpha matte for the frame based on the alpha matte, the trimap, and the frame using a third stage of the machine learning model. An additional trimap is estimated for an additional frame of the digital video based on the refined trimap and the refined alpha matte using the first stage of the machine learning model.

Abstract: This disclosure describes one or more implementations of a panoptic segmentation system that generates panoptic segmented digital images that classify both known and unknown instances of digital images. For example, the panoptic segmentation system builds and utilizes a panoptic segmentation neural network to discover, cluster, and segment new unknown object subclasses for previously unknown object instances. In addition, the panoptic segmentation system can determine additional unknown object instances from additional digital images. Moreover, in some implementations, the panoptic segmentation system utilizes the newly generated unknown object subclasses to refine and tune the panoptic segmentation neural network to improve the detection of unknown object instances in input digital images.

Abstract: Embodiments are disclosed for a machine learning-based chroma keying process. The method may include receiving an input including an image depicting a chroma key scene and a color value corresponding to a background color of the image. The method may further include generating a preprocessed image by concatenating the image and the color value. The method may further include providing the preprocessed image to a trained neural network. The method may further include generating, using the trained neural network, an alpha matte representation of the image based on the preprocessed image.

Abstract: Systems and methods for object tracking are described. One or more aspects of the systems and methods include receiving a video depicting an object; generating object tracking information for the object using a student network, wherein the student network is trained in a second training phase based on a teacher network using an object tracking training set and a knowledge distillation loss that is based on an output of the student network and the teacher network, and wherein the teacher network is trained in a first training phase using an object detection training set that is augmented with object tracking supervision data; and transmitting the object tracking information in response to receiving the video.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate joint-based segmentation masks for digital objects portrayed in digital videos. In particular, in one or more embodiments, the disclosed systems utilize a video masking model having a pose tracking neural network and a segmentation neural network to generate the joint-based segmentation masks. To illustrate, in some embodiments, the disclosed systems utilize the pose tracking neural network to identify a set of joints of the digital object across the frames of the digital video. The disclosed systems further utilize the segmentation neural network to generate joint-based segmentation masks for the video frames that portray the object using the identified joints. In some cases, the segmentation neural network includes a multi-layer perceptron mixer layer for mixing visual features propagated via convolutional layers.

Abstract: Methods and systems are provided for performing material capture to determine properties of an imaged surface. A plurality of images can be received depicting a material surface. The plurality of images can be calibrated to align corresponding pixels of the images and determine reflectance information for at least a portion of the aligned pixels. After calibration, a set of reference materials from a material library can be selected using the calibrated images. The set of reference materials can be used to determine a material model that accurately represents properties of the material surface.