Many analysis tasks for human motion rely on high-level similarity between sequences of
motions, that are not an exact matches in joint angles, timing, or ordering of actions. Even …

We present a novel approach, based on deep recurrent neural networks, to automatically
generate transition animations given a past context of a few frames, a target character state …

The problems of recurrent and anomalous pattern discovery in time series, eg, motifs and
discords, respectively, have received a lot of attention from researchers in the past decade …

Motion capture sequences may contain erroneous data, especially when the motion is
complex or performers are interacting closely and occlusions are frequent. Common practice …

The last decade has seen a flurry of research on all-pairs-similarity-search (or, self-join) for
text, DNA, and a handful of other datatypes, and these systems have been applied to many …

In this paper, we propose a novel motion controller for the online generation of natural
character locomotion that adapts to new situations such as changing user control or …

In this paper we address a classical sequence mining problem, namely, that of finding the
Closest Pair of Subsequences. Given a sequence A of length n, the problem is to identify two …

To avoid back injuries, caregivers are advised to use transfer-aid equipment while
transferring a patient from a bed to a wheelchair. Although the usage of such equipment has …

Motion capture, often abbreviated mocap, generally aims at recording any kind of motion--be
it from a person or an object--and to transform it to a computer-readable format. Especially …

This thesis focuses on solving a challenging problem in the field of computer graphics,
namely to model and understand 3D human motion efficiently and meaningfully. This is vital …