10 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.CV2017
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
Ömer Sümer, Tobias Dencker, Björn Ommer
Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond. To avoid the need for expensive l…
cs.CV2017
Unsupervised Video Understanding by Reconciliation of Posture Similarities
Timo Milbich, Miguel Bautista, Ekaterina Sutter +1
Understanding human activity and being able to explain it in detail surpasses mere action classification by far in both complexity and value. The challenge is thus to describe an a…
cs.CV2015★ 10 cited
Spatio-temporal Video Parsing for Abnormality Detection
Borislav Antić, Björn Ommer
Abnormality detection in video poses particular challenges due to the infinite size of the class of all irregular objects and behaviors. Thus no (or by far not enough) abnormal tra…