Hanno Ackermann
Hanno Ackermann
Bestätigte E-Mail-Adresse bei tnt.uni-hannover.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multilinear pose and body shape estimation of dressed subjects from image sets
N Hasler, H Ackermann, B Rosenhahn, T Thormählen, HP Seidel
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
1192010
Clustering with hypergraphs: the case for large hyperedges
P Purkait, TJ Chin, H Ackermann, D Suter
European Conference on Computer Vision (ECCV), 2014
702014
3d reconstruction of human motion from monocular image sequences
B Wandt, H Ackermann, B Rosenhahn
IEEE transactions on pattern analysis and machine intelligence 38 (8), 1505-1516, 2016
422016
On support relations and semantic scene graphs
MY Yang, W Liao, H Ackermann, B Rosenhahn
ISPRS journal of photogrammetry and remote sensing 131, 15-25, 2017
352017
Deep learning for vanishing point detection using an inverse gnomonic projection
F Kluger, H Ackermann, MY Yang, B Rosenhahn
German Conference on Pattern Recognition, 17-28, 2017
262017
Uncalibrated factorization using a variable symmetric affine camera
K Kanatani, Y Sugaya, H Ackermann
IEICE transactions on information and systems 90 (5), 851-858, 2007
192007
Who With Whom And How? Extracting Large Social Networks Using Search Engines
S Siersdorfer, P Kemkes, H Ackermann, S Zerr
Proceedings of the 24th ACM International on Conference on Information and …, 2015
102015
3D human motion capture from monocular image sequences
B Wandt, H Ackermann, B Rosenhahn
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
92015
A kinematic chain space for monocular motion capture
B Wandt, H Ackermann, B Rosenhahn
Proceedings of the European Conference on Computer Vision (ECCV), 0-0, 2018
72018
Apathy is the root of all expressions
S Graßhof, H Ackermann, SS Brandt, J Ostermann
2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017
72017
Iterative low complexity factorization for projective reconstruction
H Ackermann, K Kanatani
International Workshop on Robot Vision, 153-164, 2008
72008
Fast projective reconstruction: Toward ultimate efficiency
H Ackermann, K Kanatani
Information and Media Technologies 3 (2), 432-442, 2008
72008
Robust and Efficient 3-D Reconstruction by Self-Calibration.
H Ackermann, K Kanatani
MVA, 178-181, 2007
72007
Region-based cycle-consistent data augmentation for object detection
F Kluger, C Reinders, K Raetz, P Schelske, B Wandt, H Ackermann, ...
2018 IEEE International Conference on Big Data (Big Data), 5205-5211, 2018
62018
Object recognition from very few training examples for enhancing bicycle maps
C Reinders, H Ackermann, MY Yang, B Rosenhahn
2018 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2018
62018
Trajectory reconstruction for affine structure-from-motion by global and local constraints
H Ackermann, B Rosenhahn
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2890-2897, 2009
62009
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
52020
Learning disentangled representations via independent subspaces
M Awiszus, H Ackermann, B Rosenhahn
Proceedings of the IEEE International Conference on Computer Vision …, 2019
52019
Motion Segmentation Using Global and Local Sparse Subspace Optimization
MY Yang, H Ackermann, W Lin, S Feng, B Rosenhahn
Photogrammetric Engineering & Remote Sensing 83 (11), 769-778, 2017
52017
Projective structure from facial motion
S Graßhof, H Ackermann, F Kuhnke, J Ostermann, SS Brandt
2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017
52017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20