Abstract: Synchronized camera images and radar images are captured from a scene. A shared spatial representation of the scene is generated by encoding spatial features into a spatial hash table of a shared geometry encoder. The shared spatial representation is decoded using a geometry decoder to produce camera occupancy and radar occupancy values. A normal multi-layer perceptron (MLP), is used to predict surface normals at spatial locations of the scene based on the shared spatial representation, and one or more bidirectional reflectance distribution function (BRDF) bases are used to model radar reflectance. Camera density and radar density values are generated by applying a density decoding function to the spatial representation using the BRDF bases and the predicted surface normals. Predicted camera images are rendered from the camera density and reflectance values. Predicted radar images are rendered from the radar density and reflectance values via a radar-specific volumetric rendering process.

Abstract: Synchronized camera images and radar images are captured from a scene. A shared spatial representation of the scene is generated by encoding spatial features into a spatial hash table of a shared geometry encoder. The shared spatial representation is decoded using a geometry decoder to produce camera occupancy and radar occupancy values. Camera and radar poses are refined through an optimization process that estimates per-frame pose and velocity offsets. A normal multi-layer perceptron (MLP) is used to predict surface normals at spatial locations of the scene based on the shared spatial representation, and one or more bidirectional reflectance distribution function (BRDF) bases are used to model radar reflectance. Camera density and radar density values are generated using the BRDF bases and the predicted surface normals. Predicted camera images and radar images are rendered. The shared geometry encoder is optimized based on a multimodal loss function.

Abstract: Synchronized camera images and radar images are captured from a scene. A shared spatial representation of the scene is generated by encoding spatial features into a spatial hash table of a shared geometry encoder. The shared spatial representation is decoded using a geometry decoder to produce camera occupancy and radar occupancy values. Camera density and radar density values are generated by applying a density decoding function to the spatial representation. Predicted camera images are rendered from the camera density and reflectance values via a volumetric rendering process. Predicted radar images are rendered from the radar density and reflectance values via a radar-specific volumetric rendering process. The shared geometry encoder based on a multimodal loss function.

Abstract: Systems and methods of electronic altered document detection. The system may conduct operations of a method to: retrieve image data representing an alterable document and determine a target region of interest representing a boundary of an alterable parameter associated with the alterable document. The system may conduct operations to generate a tuned region of interest by calibrating the target region of interest based on an object detection model. The tuned region of interest may include a re-dimensioned boundary of the alterable parameter of interest. The object detection model may be prior-trained based on non-standardized alterable documents. The system may conduct operations to generate, based on the tuned region of interest, a prediction value representing whether the alterable document was subject to unauthorized alteration and transmit a signal representing the prediction value for identifying alterable documents for downstream document deconstruction operations.

Abstract: The present disclosure relates to a kit for quantitative detection using a fluorescent microarray, and belongs to the technical field of protein detection. The kit of the present disclosure includes a detection plate and a detection antibody coupled with fluorescent microspheres, where the detection plate is provided with a plurality of reaction chambers; the reaction chamber is provided with an opening, and an inner bottom surface of the reaction chamber is provided with a plurality of detection sites that are arranged side by side along a length direction of the reaction chamber at an interval. The kit of the present disclosure may detect allergen-specific IgE, IgG and IgA with high sensitivity, as well as rapidly and quantitatively detect an allergen-specific antibody IgE, IgG and IgA concentration in human serum or plasma, and may screen dozens of allergens at a time.