15 citations · 23 across the 6 of their papers we have counts for
6 papers
Adversarial Defense via Image Denoising with Chaotic Encryption
Shi Hu, Eric Nalisnick, Max Welling
In the literature on adversarial examples, white box and black box attacks have received the most attention. The adversary is assumed to have either full (white) or no (black) acce…
Temporal Feature Warping for Video Shadow Detection
Shilin Hu, Hieu Le, Dimitris Samaras
While single image shadow detection has been improving rapidly in recent years, video shadow detection remains a challenging task due to data scarcity and the difficulty in modelli…
Learning to Predict Error for MRI Reconstruction
Shi Hu, Nicola Pezzotti, Max Welling
In healthcare applications, predictive uncertainty has been used to assess predictive accuracy. In this paper, we demonstrate that predictive uncertainty estimated by the current m…
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
Shi Hu, Daniel Worrall, Stefan Knegt +3
The accurate estimation of predictive uncertainty carries importance in medical scenarios such as lung node segmentation. Unfortunately, most existing works on predictive uncertain…
Context Encoding Chest X-rays
Davide Belli, Shi Hu, Ecem Sogancioglu +1
Chest X-rays are one of the most commonly used technologies for medical diagnosis. Many deep learning models have been proposed to improve and automate the abnormality detection ta…
Chest X-ray Inpainting with Deep Generative Models
Ecem Sogancioglu, Shi Hu, Davide Belli +1
Generative adversarial networks have been successfully applied to inpainting in natural images. However, the current state-of-the-art models have not yet been widely adopted in the…