Temporal action segmentation (TAS) in videos aims at densely identifying video frames in
minutes-long videos with multiple action classes. As a long-range video understanding task …

Super-resolution microscopy provides direct insight into fundamental biological processes
occurring at length scales smaller than light's diffraction limit. The analysis of data at such …

While most classical approaches to Granger causality detection assume linear dynamics,
many interactions in real-world applications, like neuroscience and genomics, are inherently …

The task of temporally detecting and segmenting actions in untrimmed videos has seen an
increased attention recently. One problem in this context arises from the need to define and …

Robots are often required to generalize the skills learned from human demonstrations to
fulfil new task requirements. However, skill generalization will be difficult to realize when …

This paper presents a new method for unsupervised segmentation of complex activities from
video into multiple steps, or sub-activities, without any textual input. We propose an iterative …

Movement primitive segmentation enables long sequences of human movement
observation data to be segmented into smaller components, termed movement primitives, to …

Human communication typically has an underlying structure. This is reflected in the fact that
in many user generated videos, a starting point, ending, and certain objective steps between …

Segmenting behavior-based sensor data and recognizing the activity that the data
represents are vital steps in all applications of human activity learning such as health …

The deep and darkweb (d2web) refers to limited access web sites that require registration,
authentication, or more complex encryption protocols to access them. These web sites serve …