公开(公告)号：US20230239499A1

公开(公告)日：2023-07-27

申请号：US18011922

申请日：2022-05-27

Applicant: Google LLC

Inventor： Mohammad Babaeizadeh ,  Chelsea Breanna Finn ,  Dumitru Erhan ,  Mohammad Taghi Saffar ,  Sergey Vladimir Levine ,  Suraj Nair

IPC: H04N19/59 ,  H04N19/117 ,  H04N19/176 ,  H04N19/42 ,  G06V10/70

CPC classification number: H04N19/59 ,  H04N19/117 ,  H04N19/176 ,  H04N19/42 ,  G06V10/70

Abstract: One aspect provides a machine-learned video prediction model configured to receive and process one or more previous video frames to generate one or more predicted subsequent video frames, wherein the machine-learned video prediction model comprises a convolutional variational auto encoder, and wherein the convolutional variational auto encoder comprises an encoder portion comprising one or more encoding cells and a decoder portion comprising one or more decoding cells.

公开(公告)号：US20240289981A1

公开(公告)日：2024-08-29

申请号：US18173557

申请日：2023-02-23

Applicant: Google LLC

Inventor： Wei-Cheng Kuo ,  Fred Bertsch ,  Wei Li ,  Anthony J. Piergiovanni ,  Mohammad Taghi Saffar ,  Anelia Angelova

IPC: G06T7/73 ,  G06F40/126 ,  G06F40/40 ,  G06V10/77 ,  G06V10/80

CPC classification number: G06T7/73 ,  G06F40/126 ,  G06F40/40 ,  G06V10/7715 ,  G06V10/806

Abstract: Generally, the disclosure is directed to generalized objected location, where the located object is in accordance to a natural language (NL) query. More specifically, the embodiments include a unified generalized visual localization architecture. The architecture achieves enhanced performance on the following three tasks: referring expression comprehension, object localization, and object detection. The embodiments employ machine-learned NL models and/or image models. The architecture is enabled to understand and answer natural localization questions towards an image, to output multiple boxes, provide no output if the object is not present (e.g., a null result), as well as, solve general detection tasks.