Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

Abstract: Systems and techniques are provided for determining environmental layouts. For example, based on one or more images of an environment and depth information associated with the one or more images, a set of candidate layouts and a set of candidate objects corresponding to the environment can be detected. The set of candidate layouts and set of candidate objects can be organized as a structured tree. For instance, a structured tree can be generated including nodes corresponding to the set of candidate layouts and the set of candidate objects. A combination of objects and layouts can be selected in the structured tree (e.g., based on a search of the structured tree, such as using a Monte-Carlo Tree Search (MCTS) algorithm or adapted MCTS algorithm). A three-dimensional (3D) layout of the environment can be determined based on the combination of objects and layouts in the structured tree.

Abstract: Systems and techniques are provided for determining one or more poses of one or more objects. For example, a process can include determining, using a machine learning system, a plurality of keypoints from an image. The plurality of keypoints are associated with at least one object in the image. The process can include determining a plurality of features from the machine learning system based on the plurality of keypoints. The process can include classifying the plurality of features into a plurality of joint types. The process can include determining pose parameters for the at least one object based on the plurality of joint types.

Abstract: Systems and techniques are provided for determining environmental layouts. For example, based on one or more images of an environment and depth information associated with the one or more images, a set of candidate layouts and a set of candidate objects corresponding to the environment can be detected. The set of candidate layouts and set of candidate objects can be organized as a structured tree. For instance, a structured tree can be generated including nodes corresponding to the set of candidate layouts and the set of candidate objects. A combination of objects and layouts can be selected in the structured tree (e.g., based on a search of the structured tree, such as using a Monte-Carlo Tree Search (MCTS) algorithm or adapted MCTS algorithm). A three-dimensional (3D) layout of the environment can be determined based on the combination of objects and layouts in the structured tree.

Abstract: One or more processors may perform one or more lookup table (LUT)-based image processing operations on an input image to produce an output image, wherein performing the one or more image processing operations on the input image introduces one or more banding artifacts in the output image. The one or more processors may determine one or more sub-regions of the output image that include the one or more banding artifacts. The one or more processors may perform one or more artifact reduction operations on the one or more sub-regions of the output image without performing the one or more artifact reduction operations on remaining sub-regions of the output image.

Abstract: One or more processors may perform one or more lookup table (LUT)-based image processing operations on an input image to produce an output image, wherein performing the one or more image processing operations on the input image introduces one or more banding artifacts in the output image. The one or more processors may determine one or more sub-regions of the output image that include the one or more banding artifacts. The one or more processors may perform one or more artifact reduction operations on the one or more sub-regions of the output image without performing the one or more artifact reduction operations on remaining sub-regions of the output image.

Abstract: Systems, apparatus and methods are described including operations for video coding including a stage-interdependent multi-stage butterfly integer transform.