Search Results for author: Shancong Mou

Found 7 papers, 1 papers with code

RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection

no code implementations24 Feb 2023 Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi

In this paper, we propose a Robust GAN-inversion (RGI) method with a provable robustness guarantee to achieve image restoration under unknown \textit{gross} corruptions, where a small fraction of pixels are completely corrupted.

Anomaly Detection Image Inpainting +1

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation

no code implementations28 Mar 2022 Shancong Mou, Meng Cao, Haoping Bai, Ping Huang, Jianjun Shi, Jiulong Shan

To combine the best of both worlds, we present an unsupervised patch autoencoder based deep image decomposition (PAEDID) method for defective region segmentation.

Anomaly Detection

Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey

no code implementations3 Mar 2022 Shancong Mou, Meng Cao, Zhendong Hong, Ping Huang, Jiulong Shan, Jianjun Shi

Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process.

Synthetic Data Generation

Compressed Smooth Sparse Decomposition

no code implementations19 Jan 2022 Shancong Mou, Jianjun Shi

The proposed method, named Compressed Smooth Sparse Decomposition (CSSD), is a one-step method that unifies the compressive image acquisition and decomposition-based image processing techniques.

Anomaly Detection

Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization

no code implementations11 Nov 2021 Zaiwei Chen, Shancong Mou, Siva Theja Maguluri

In this work, we study the asymptotic behavior of the appropriately scaled stationary distribution, in the limit when the constant stepsize goes to zero.

Vocal Bursts Type Prediction

Additive Tensor Decomposition Considering Structural Data Information

1 code implementation27 Jul 2020 Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi

In this paper, we provide a new definition of structural information in tensor data.

Tensor Decomposition

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