84 citations · 234 across the 30 of their papers we have counts for
7 papers · 1 filter
Natural Language Guided Visual Relationship Detection
Wentong Liao, Lin Shuai, Bodo Rosenhahn +1
Reasoning about the relationships between object pairs in images is a crucial task for holistic scene understanding. Most of the existing works treat this task as a pure visual cla…
Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
Florian Kluger, Hanno Ackermann, Michael Ying Yang +1
We present a novel approach for vanishing point detection from uncalibrated monocular images. In contrast to state-of-the-art, we make no a priori assumptions about the observed sc…
Automatic tracking of vessel-like structures from a single starting point
Dario Augusto Borges Oliveira, Laura Leal-Taixe, Raul Queiroz Feitosa +1
The identification of vascular networks is an important topic in the medical image analysis community. While most methods focus on single vessel tracking, the few solutions that ex…
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
Timo von Marcard, Bodo Rosenhahn, Michael J. Black +1
We address the problem of making human motion capture in the wild more practical by using a small set of inertial sensors attached to the body. Since the problem is heavily under-c…
Optical Flow-based 3D Human Motion Estimation from Monocular Video
Thiemo Alldieck, Marc Kassubeck, Marcus Magnor
We present a generative method to estimate 3D human motion and body shape from monocular video. Under the assumption that starting from an initial pose optical flow constrains subs…
A Kinematic Chain Space for Monocular Motion Capture
Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn
This paper deals with motion capture of kinematic chains (e.g. human skeletons) from monocular image sequences taken by uncalibrated cameras. We present a method based on projectin…