Immune heterogeneity within the tumor microenvironment undoubtedly adds several layers
of complexity to our understanding of drug sensitivity and patient prognosis across various …

We investigate dynamical models of human motion that can support both synthesis and
analysis tasks. Unlike coarser discriminative models that work well when action classes are …

We propose a robust filtering approach based on semi-supervised and multiple instance
learning (MIL). We assume that the posterior density would be unimodal if not for the effect of …

In response to the need for a safe, efficacious vaccine that elicits vigorous T cell as well as
humoral protection against SARS-CoV-2 infection, we have developed a dual-antigen COVID-…

This work presents a unique new dataset and objectives for action analysis. The data presents
3 key challenges: tracking, classification, and judging action quality. The last of these, to …

In this work we aim to capitalize on the availability of Internet image search engines to
automatically create image training sets from user provided queries. This problem is particularly …

We present a simple approach to action classification which constructs a vector quantization
of primitive motions from time series data corresponding to relative limb position estimates. …

To provide a unique global view of the relative potential for evasion of CD8+ and CD4+ T
cells by SARS-CoV-2 lineages as they evolve over time, we performed a comprehensive …

This paper describes a recently developed toolkit for creating environmental maps of indoor
environments from image sequences. First, the chosen map representation–texture-mapped …

The article discusses new forms of youth self-control in the Internet space, which are actively
developing in the postdigital culture. The text analyzes the form of social activism during the …