5 citations · 6 across the 2 of their papers we have counts for
3 papers
Reducing Risk and Uncertainty of Deep Neural Networks on Diagnosing COVID-19 Infection
Krishanu Sarker, Sharbani Pandit, Anupam Sarker +2
Effective and reliable screening of patients via Computer-Aided Diagnosis can play a crucial part in the battle against COVID-19. Most of the existing works focus on developing sop…
A Unified Plug-and-Play Framework for Effective Data Denoising and Robust Abstention
Krishanu Sarker, Xiulong Yang, Yang Li +2
The success of Deep Neural Networks (DNNs) highly depends on data quality. Moreover, predictive uncertainty makes high performing DNNs risky for real-world deployment. In this pape…
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data
Krishanu Sarker, Mohamed Masoud, Saeid Belkasim +1
Human activity recognition based on video streams has received numerous attentions in recent years. Due to lack of depth information, RGB video based activity recognition performs…