Hanno Ackermann

Publications
Influence

Multilinear pose and body shape estimation of dressed subjects from image sets

N. Hasler, Hanno Ackermann, B. Rosenhahn, Thorsten Thormählen, H. Seidel
Computer Science
IEEE Computer Society Conference on Computer…
13 June 2010

In this paper we propose a multilinear model of human pose and body shape which is estimated from a database of registered 3D body scans in different poses. Expand

Clustering with Hypergraphs: The Case for Large Hyperedges

P. Purkait, Tat-Jun Chin, Hanno Ackermann, D. Suter
Computer Science
IEEE Transactions on Pattern Analysis and Machine…
6 September 2014

We show that large hyperedges are better from both a theoretical and an empirical standpoint than the smallest possible hyperedge size, due to a lack of study into the potential benefits and effective algorithms to generate them. Expand

On Support Relations and Semantic Scene Graphs

Wentong Liao, M. Yang, Hanno Ackermann, B. Rosenhahn
Computer Science
ArXiv
19 September 2016

This paper proposes a novel framework for automatic generation of semantic scene graphs describing the contextual relations within a cluttered indoor scene which interpret indoor environments. Expand

3D Reconstruction of Human Motion from Monocular Image Sequences

B. Wandt, Hanno Ackermann, B. Rosenhahn
Medicine, Computer Science
IEEE Transactions on Pattern Analysis and Machine…
1 August 2016

This article tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Expand

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

Florian Kluger, Hanno Ackermann, M. Yang, B. Rosenhahn
Computer Science
GCPR
8 July 2017

We present a novel approach for vanishing point detection from uncalibrated monocular images. Expand

3D human motion capture from monocular image sequences

B. Wandt, Hanno Ackermann, B. Rosenhahn
Mathematics, Computer Science
IEEE Conference on Computer Vision and Pattern…
7 June 2015

This paper tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Expand

A Kinematic Chain Space for Monocular Motion Capture

B. Wandt, Hanno Ackermann, B. Rosenhahn
Computer Science
ECCV Workshops
1 February 2017

We present a method based on projecting an observation into a kinematic chain space (KCS). Expand

Apathy Is the Root of All Expressions

Stella Grasshof, Hanno Ackermann, Sami Sebastian Brandt, J. Ostermann
Mathematics, Computer Science
12th IEEE International Conference on Automatic…
1 May 2017

In this paper, we present a new statistical model for human faces. Expand

Region-based Cycle-Consistent Data Augmentation for Object Detection

Florian Kluger, Christoph Reinders, +4 authors B. Rosenhahn
Computer Science
IEEE International Conference on Big Data (Big…
1 December 2018

This report presents a system developed by the authors as part of the Road Damage Detection and Classification Challenge at the 2018 IEEE Big Data Cup. Expand

Who With Whom And How?: Extracting Large Social Networks Using Search Engines

Stefan Siersdorfer, P. Kemkes, Hanno Ackermann, S. Zerr
Computer Science
CIKM
17 October 2015

In this paper, we introduce novel methodologies for query-based search engine mining, enabling efficient extraction of social networks from large amounts of Web data. Expand

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