Abstract: In various embodiments, a scene reconstruction model generates three-dimensional (3D) representations of scenes. The scene reconstruction model computes a first 3D feature grid based on a set of red, blue, green, and depth (RGBD) images associated with a first scene. The scene reconstruction model maps the first 3D feature grid to a first 3D representation of the first scene. The scene reconstruction model computes a first reconstruction loss based on the first 3D representation and the set of RGBD images. The scene reconstruction model modifies at least one of the first 3D feature grid, a first pre-trained geometry decoder, or a first pre-trained texture decoder based on the first reconstruction loss to generate a second 3D representation of the first scene.

Abstract: In various embodiments, a scene reconstruction model generates three-dimensional (3D) representations of scenes. The scene reconstruction model maps a first red, blue, green, and depth (RGBD) image associated with both a first scene and a first viewpoint to a first surface representation of at least a first portion of the first scene. The scene reconstruction model maps a second RGBD image associated with both the first scene and a second viewpoint to a second surface representation of at least a second portion of the first scene. The scene reconstruction model aggregates at least the first surface representation and the second surface representation in a 3D space to generate a first fused surface representation of the first scene. The scene reconstruction model maps the first fused surface representation of the first scene to a 3D representation of the first scene.

Abstract: In various embodiments, a training application trains a machine learning model to generate three-dimensional (3D) representations of two-dimensional images. The training application maps a depth image and a viewpoint to signed distance function (SDF) values associated with 3D query points. The training application maps a red, blue, and green (RGB) image to radiance values associated with the 3DI query points. The training application computes a red, blue, green, and depth (RGBD) reconstruction loss based on at least the SDF values and the radiance values. The training application modifies at least one of a pre-trained geometry encoder, a pre-trained geometry decoder, an untrained texture encoder, or an untrained texture decoder based on the RGBD reconstruction loss to generate a trained machine learning model that generates 3D representations of RGBD images.

Abstract: The embodiments herein disclose a system and method for federated service agent discovery in a pervasive device management system. The method includes receiving, by a discovery agent in a society, a request from a user agent for discovering a location of a service agent in the society. Further, the method includes discovering, by the discovery agent, the location of the service agent in the society to establish a connection between the user agent and the service agent, wherein the location of the service agent is federately discovered by the discovery agent by communicating with other discovery agents in the society.

Abstract: Systems and methods for generating voltage level shifted self-clocked write assistance include a circuit with self-clocked true and complement data input signals in a first voltage domain. First and second full voltage level shifters are configured to generate voltage level shifted self-clocked intermediate true and complement signals in a second voltage domain, based on the self-clocked true and complement data input signals in the first voltage domain. Tristating logic including first and second complementary metal oxide semiconductor (CMOS) circuits are configured to generate voltage level shifted self-clocked tristated true and complement output signals used for providing write assistance for a memory array in the second voltage domain, based on the voltage level shifted self-clocked intermediate true and complements signals.

Abstract: Systems and methods for generating voltage level shifted self-clocked write assistance include a circuit with self-clocked true and complement data input signals in a first voltage domain. First and second full voltage level shifters are configured to generate voltage level shifted self-clocked intermediate true and complement signals in a second voltage domain, based on the self-clocked true and complement data input signals in the first voltage domain. Tristating logic including first and second complementary metal oxide semiconductor (CMOS) circuits are configured to generate voltage level shifted self-clocked tristated true and complement output signals used for providing write assistance for a memory array in the second voltage domain, based on the voltage level shifted self-clocked intermediate true and complements signals.

Abstract: Methods, devices and systems for selecting IVR script and initiating that IVR script are provided. More specifically, playback of an IVR script to a user of a client endpoint can be initiated by an agent at a content sharing endpoint selecting, dragging, and dropping a representation of that IVR script onto a representation of the voice communication session. After initiation of the IVR script, the agent can drop off of the call, leaving the IVR system to interact with the client endpoint without requiring further agent involvement.

Abstract: Methods, devices and systems for sharing content as part of a voice telephony session are provided. More specifically, content can be added to a voice communication session by selecting, dragging, and dropping a representation of that content onto a representation of the voice communication session. Where the selected content comprises an audio file, that content is played over the voice communication channel. Where the selected content comprises text, the text is converted to speech, and then played over the voice communication channel.

Abstract: Methods, devices and systems for sharing content as part of a voice telephony session are provided. More specifically, content can be added to a voice communication session by selecting, dragging, and dropping a representation of that content onto a representation of the voice communication session. Where the selected content comprises an audio file, that content is played over the voice communication channel. Where the selected content comprises text, the text is converted to speech, and then played over the voice communication channel.

Abstract: Methods, devices and systems for selecting IVR script and initiating that IVR script are provided. More specifically, playback of an IVR script to a user of a client endpoint can be initiated by an agent at a content sharing endpoint selecting, dragging, and dropping a representation of that IVR script onto a representation of the voice communication session. After initiation of the IVR script, the agent can drop off of the call, leaving the IVR system to interact with the client endpoint without requiring further agent involvement.