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Found 5 papers, 1 papers with code
Virchow: A Million-Slide Digital Pathology Foundation Model
The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnosis and treatment of cancer.
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution
We introduce the paradigm of inverse super resolution (ISR), the concept of learning the optimal set of image transformations to generate multiple low-resolution (LR) training videos from a single video.
Joint Inference of Groups, Events and Human Roles in Aerial Videos
This paper addresses a new problem of parsing low-resolution aerial videos of large spatial areas, in terms of 1) grouping, 2) recognizing events and 3) assigning roles to people engaged in events.
Pooled Motion Features for First-Person Videos
In this paper, we present a new feature representation for first-person videos.
Integrating Grammar and Segmentation for Human Pose Estimation
In this paper we present a compositional and-or graph grammar model for human pose estimation.
