公开(公告)号：US20240177318A1

公开(公告)日：2024-05-30

申请号：US18107173

申请日：2023-02-08

Applicant: Samsung Electronics Co., Ltd.

Inventor： Mostafa EL-KHAMY ,  Hai SU ,  Qingfeng LIU

IPC: G06T7/12

CPC classification number: G06T7/12 ,  G06T2207/10016 ,  G06T2207/20081

Abstract: Disclosed is a method including receiving, in a semantic segmentation network, input data from a plurality of frames, computing a ground truth label on the plurality of frames, generating a ground truth temporal semantic boundary map from the ground truth label on the plurality of frames, generating a predicted temporal semantic boundary map based on an output of the input data, and determining a loss based on the ground truth temporal semantic boundary map and the predicted temporal semantic boundary map.

公开(公告)号：US20250069247A1

公开(公告)日：2025-02-27

申请号：US18943520

申请日：2024-11-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Haoyu REN ,  Mostafa EL-KHAMY ,  Jungwon LEE ,  Hai SU ,  Qingfeng LIU

IPC: G06T7/579 ,  G06T3/18 ,  G06T7/194

Abstract: Methods and systems for performing video prediction, including obtaining an input frame from among a plurality of frames included in an input video; extracting a first feature map by providing the input frame to a first plurality of feature extraction layers and a first strided convolutional layer included in an encoder; providing the first feature map and at least one neighboring first feature map corresponding to at least one neighboring frame to a first fusion module included in the encoder; fusing the first feature map with the at least one neighboring first feature map to generate a fused first feature map using the first fusion module; generating a prediction corresponding to the input frame based on the fused first feature map using a decoder; and performing a video prediction task using the prediction.

公开(公告)号：US20220301128A1

公开(公告)日：2022-09-22

申请号：US17563012

申请日：2021-12-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Qingfeng LIU ,  Hai SU ,  Mostafa EL-KHAMY

IPC: G06T5/20 ,  G06V10/44 ,  G06T7/12 ,  G06T3/40 ,  G06V20/70

Abstract: A method of image processing includes: determining a first feature, wherein the first feature has a dimensionality D1; determining a second feature, wherein the second feature has a dimensionality D2 and is based on an output of a feature extraction network; generating a third feature by processing the first feature, the third feature having a dimensionality D3; generating a guidance by processing the second feature, the guidance having the dimensionality D3; generating a filter output by applying a deep guided filter (DGF) to the third feature using the guidance; generating a map based on the filter output; and outputting a processed image based on the map.