15 citations · 15 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification
Junlin Hou, Jilan Xu, Nan Zhang +3
This paper presents our solution for the 2nd COVID-19 Severity Detection Competition. This task aims to distinguish the Mild, Moderate, Severe, and Critical grades in COVID-19 ches…
eess.IV2022
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
Junlin Hou, Jilan Xu, Nan Zhang +4
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022). In ou…
cs.AI2022★ 15 cited
Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
Nan Zhang, Rami Bahsoon, Nikos Tziritas +1
Digital Twins (DT) are essentially dynamic data-driven models that serve as real-time symbiotic "virtual replicas" of real-world systems. DT can leverage fundamentals of Dynamic Da…