361 citations · 1.3k across the 81 of their papers we have counts for
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PoseTrack: Joint Multi-Person Pose Estimation and Tracking
Umar Iqbal, Anton Milan, Juergen Gall
In this work, we introduce the challenging problem of joint multi-person pose estimation and tracking of an unknown number of persons in unconstrained videos. Existing methods for…
Weakly supervised learning of actions from transcripts
Hilde Kuehne, Alexander Richard, Juergen Gall
We present an approach for weakly supervised learning of human actions from video transcriptions. Our system is based on the idea that, given a sequence of input data and a transcr…
Reconstructing Articulated Rigged Models from RGB-D Videos
Dimitrios Tzionas, Juergen Gall
Although commercial and open-source software exist to reconstruct a static object from a sequence recorded with an RGB-D sensor, there is a lack of tools that build rigged models o…
Multi-Person Pose Estimation with Local Joint-to-Person Associations
Umar Iqbal, Juergen Gall
Despite of the recent success of neural networks for human pose estimation, current approaches are limited to pose estimation of a single person and cannot handle humans in groups…
Weakly Supervised Learning of Affordances
Abhilash Srikantha, Juergen Gall
Localizing functional regions of objects or affordances is an important aspect of scene understanding. In this work, we cast the problem of affordance segmentation as that of seman…
Pose for Action - Action for Pose
Umar Iqbal, Martin Garbade, Juergen Gall
In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits…