no code implementations • 13 Jun 2023 • Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao
We introduce the VISION Datasets, a diverse collection of 14 industrial inspection datasets, uniquely poised to meet these challenges.
no code implementations • 24 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.
no code implementations • 28 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.
no code implementations • 3 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.
no code implementations • 19 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.
no code implementations • 11 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.
1 code implementation • 27 Jul 2020 • Shancong Mou, Andi Wang, Chuck Zhang, Jianjun Shi
In this paper, we provide a new definition of structural information in tensor data.