84 citations · 275 across the 36 of their papers we have counts for
9 papers · 2 filters
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…
Object Recognition from very few Training Examples for Enhancing Bicycle Maps
Christoph Reinders, Hanno Ackermann, Michael Ying Yang +1
In recent years, data-driven methods have shown great success for extracting information about the infrastructure in urban areas. These algorithms are usually trained on large data…
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…
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
Roberto Henschel, Laura Leal-Taixé, Daniel Cremers +1
In order to track all persons in a scene, the tracking-by-detection paradigm has proven to be a very effective approach. Yet, relying solely on a single detector is also a major li…
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…