1 code implementation • 18 Aug 2022 • Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun
Blind image deblurring (BID) has been extensively studied in computer vision and adjacent fields.
2 code implementations • 23 Oct 2021 • Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun
Recent works have shown the surprising effectiveness of deep generative models in solving numerous image reconstruction (IR) tasks, even without training data.
1 code implementation • 11 Dec 2021 • Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun
In this regard, the majority of DIP works for vision tasks only demonstrates the potential of the models -- reporting the peak performance against the ground truth, but provides no clue about how to operationally obtain near-peak performance without access to the groundtruth.
2 code implementations • 9 Jun 2021 • Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun
Transfer learning (TL) from pretrained deep models is a standard practice in modern medical image classification (MIC).
1 code implementation • CVPR 2023 • Taihui Li, Hengkang Wang, Zhong Zhuang, Ju Sun
Deep image prior (DIP) has shown great promise in tackling a variety of image restoration (IR) and general visual inverse problems, needing no training data.
1 code implementation • 23 Mar 2023 • Bhargav Joshi, Taihui Li, Buyun Liang, Roger Rusack, Ju Sun
The transparency of each crystal is monitored with a laser monitoring system that tracks changes in the optical properties of the crystals due to radiation from the collision products.
no code implementations • 3 Jun 2021 • Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher Tignanelli
Conclusions and Relevance: AI-based diagnostic tools may serve as an adjunct, but not replacement, for clinical decision support of COVID-19 diagnosis, which largely hinges on exposure history, signs, and symptoms.
no code implementations • 6 Mar 2023 • Taihui Li, Hengkang Wang, Peng Le, XianE Tang, Ju Sun
Robust PCA is a standard tool for learning a linear subspace in the presence of sparse corruption or rare outliers.
no code implementations • 18 Sep 2023 • Taihui Li, Anish Lahiri, Yutong Dai, Owen Mayer
Demosaicing and denoising of RAW images are crucial steps in the processing pipeline of modern digital cameras.