公开(公告)号：US20240312193A1

公开(公告)日：2024-09-19

申请号：US18339075

申请日：2023-06-21

Applicant: Samsung Display Co., Ltd.

Inventor： Qisen Cheng ,  Shuhui Qu ,  Kaushik Balakrishnan ,  Janghwan Lee

IPC: G06V10/80 ,  G06N3/0455 ,  G06T7/00

CPC classification number: G06V10/803 ,  G06N3/0455 ,  G06T7/0004 ,  G06T2207/20081

Abstract: A method may include providing a data set including rows of data. The rows of data may include at least one row of unpaired modality including a first modality, and at least one row of paired modality may include both the first modality and a second modality. The method may further include imputing, by a modality-specific encoder, the at least one row of unpaired modality by interpolating embeddings from the second modality of the paired modality; training, in a latent space, the modality-specific encoder based on the imputation for unimodal prediction and bimodal prediction; and generating a confidence value for the unimodal prediction and the bimodal prediction.

公开(公告)号：US20230267600A1

公开(公告)日：2023-08-24

申请号：US17728882

申请日：2022-04-25

Applicant: Samsung Display Co., Ltd.

Inventor： Shuhui Qu ,  Qisen Cheng ,  Janghwan Lee

IPC: G06T7/00 ,  G06N3/04

CPC classification number: G06T7/001 ,  G06N3/0454 ,  G06N3/0481 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A system including: a memory, an encoder, a decoder, and a processor, the processor being connected to the memory, the encoder, and the decoder. The system is configured to: receive, at the encoder, an input image, divide, by the encoder, the input image into a plurality of image patches, select, by the encoder, codes corresponding to the plurality of image patches of the input image, from a codebook including the codes. The system is further configured to determine, by the encoder, an assigned code matrix including the codes corresponding to the plurality of image patches of the input image, receive, by the decoder, the assigned code matrix from the encoder. The system is further configured to generate, by the decoder, a reconstructed image based on the assigned code matrix.

公开(公告)号：US20250166266A1

公开(公告)日：2025-05-22

申请号：US18949390

申请日：2024-11-15

Applicant: Samsung Display Co., Ltd.

Inventor： Zhihong Pan ,  Rahul Shenoy ,  Kaushik Balakrishnan ,  Qisen Cheng ,  Janghwan Lee

IPC: G06T11/60 ,  G06T5/60 ,  G06T5/70 ,  G06T7/00

Abstract: A system and a method are disclosed for defect image generation using diffusion model sampling. The method includes generating, by a processor via a diffusion model, a noisy image from a defect-free image, generating, by the processor via the diffusion model, a sampled defect image and a sampled defect-free image from the noisy image, generating, by the processor, a mask based on the sampled defect image and the sampled defect-free image, generating, by the processor, a synthetic defect image by generating an additional sampled defect image based on the noisy image and the mask, and transmitting, by the processor, the synthetic defect image.

公开(公告)号：US12301833B2

公开(公告)日：2025-05-13

申请号：US18074195

申请日：2022-12-02

Applicant: Samsung Display Co., Ltd.

Inventor： Shuhui Qu ,  Qisen Cheng ,  Yannick Bliesener ,  Janghwan Lee

IPC: H04N19/157 ,  G06V10/44 ,  G06V10/74 ,  G06V20/40 ,  H04N19/94

Abstract: According to some embodiments, a system includes: a memory, an encoder; a decoder, wherein the system is operable to: receive, at the encoder, an input video; divide, by the encoder, the input video into a plurality of video patches; select, by the encoder, codes corresponding to the plurality of video patches of the input video, from a codebook comprising the codes; determine, by the encoder, an assigned code matrix comprising the codes corresponding to the plurality of video patches of the input video; receive, by the decoder, the assigned code matrix from the encoder; and generate, by the decoder, a reconstructed video based on the assigned code matrix.

公开(公告)号：US20240127030A1

公开(公告)日：2024-04-18

申请号：US18109710

申请日：2023-02-14

Applicant: Samsung Display Co., Ltd.

Inventor： Qisen Cheng ,  Shuhui Qu ,  Kaushik Balakrishnan ,  Janghwan Lee

IPC: G06N3/042 ,  G06N5/01

CPC classification number: G06N3/042 ,  G06N5/01

Abstract: A classification system includes: one or more processors; and memory including instructions that, when executed by the one or more processors, cause the one or more processors to: calculate reference Shapley values for features of a data sample based on a first classification model; and train a second classification model though multi-task distillation to: predict Shapley values for the features of the data sample based on the reference Shapley values and a distillation loss; and predict a class label for the data sample based on the predicted Shapley values and a ground truth class label for the data sample.