Scientific Publications
2020
A.
Böckenkamp,
"roslaunch2: Versatile, Flexible and Dynamic Launch Configurations for the Robot Operating System"
in Robot Operating System (ROS): The Complete Reference,Koubaa, Anis, Eds.
Heidelberg:
Springer International Publishing,
2020,
pp. 165--181.
 Link |
2019
C.
Morris,
M.
Ritzert,
M.
Fey,
W. L.
Hamilton,
J. E.
Lenssen,
G.
Rattan and
M.
Grohe,
"Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"
in 33rd AAAI Conference on Artificial Intelligence (AAAI-19),
2019.
 File |
M.
Yayla,
A.
Toma,
J. E.
Lenssen,
J.
Chen,
F.
Weichert and
K.
Chen,
"Resource-efficient Nanoparticle Classification Using Frequency Domain Analysis"
,
Bildverarbeitung für die Medizin,
pp. 339-344,
2019.
M.
Yayla,
A.
Toma,
K.
Chen,
J. E.
Lenssen,
V.
Shpacovitch,
R.
Hergenröder,
F.
Weichert and
J.
Chen,
"Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms"
,
Sensors, Special Issue Surface Plasmon Resonance (SPR)-Based Sensors and Their Biological Applications,
vol. 19,
pp. 1-15,
2019.
 doi.org/10.3390/s19194138 |
G.
Rinkenauer,
T.
Plewan,
D.
Bachmann and
F.
Weichert,
"Vergleich von virtuellen Interaktionssystemen mit einer realen Situation"
,
Arbeit interdisziplinär analysieren - bewerten - gestalten: 65. Kongress der Gesellschaft für Arbeitswissenschaft,
vol. 6,
pp. 1-6,
2019.
W.
Tillmann,
C.
Schaak,
J.
Zajaczkowski,
H.
Müller,
D.
Hegels,
M.
Gaspar,
B.
Kuhlenkötter and
D. D.
Störkle,
"Investigation of a procedure for the simulation-based optimisation of robot paths for thermal spraying"
,
Thermal Spray Bulletin,
vol. 12,
pp. 89-97,
2019.
M.
Fey and
J. E.
Lenssen,
"Fast Graph Representation Learning with PyTorch Geometric"
in ICLR Workshop on Representation Learning on Graphs and Manifolds,
2019.
| File |
A.
Toma,
J.
Wenner,
J. E.
Lenssen and
J.
Chen,
"Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing"
in 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID),
2019.
J.
Deuse,
L.
Stankiewicz,
R.
Zwinkau and
F.
Weichert,
"Automatic generation of methods-time measurement analyses for assembly tasks from motion capture data using convolutional neuronal networks - A proof of concept"
,
Advances in Human Factors and Systems Interaction (AHFE 2019), Advances in Intelligent Systems and Computing,
vol. 959,
pp. 141-150,
2019.
E.
Rusakov,
K.
Brandenbusch,
D.
Fisseler,
T.
Somel,
G. A.
Fink,
F.
Weichert and
G.
Müller,
"Generating Cuneiform Signs with Cycle-Consistent Adversarial Networks"
,
International Workshop on Historical Document Imaging and Processing (HIP19) ,
pp. 19-24,
2019.
2018
N.
Kriege,
M.
Fey,
D.
Fisseler,
P.
Mutzel and
F.
Weichert,
"Recognizing Cuneiform Signs Using Graph Based Methods"
in International Workshop on Cost-Sensitive Learning (COST),
2018.
| File |
M.
Fey,
J. E.
Lenssen,
F.
Weichert and
H.
Müller,
"SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels"
in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2018.
pp. 869-877.
| File |
A.
Toma,
A.
Starinow,
J. E.
Lenssen and
J.
Chen,
"Saving Energy for Cloud Applications in Mobile Devices using Nearby Resources"
in 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP),
2018.
D.
Bachmann,
F.
Weichert and
G.
Rinkenauer,
"Review of three-dimensional Human-Computer Interaction with Focus on the Leap Motion Controller"
,
Sensors,
vol. 18,
pp. 1-39,
2018.
| 10.3390/s18072194 |
D.
Bachmann,
F.
Bökler,
J.
Kopec,
K.
Popp,
B.
Schwarze and
F.
Weichert,
"Multi-Objective Optimisation based Planning of Power-Line Grid Expansions"
,
ISPRS International Journal of Geo-Information,
vol. 7,
pp. 1-22,
2018.
| 10.3390/ijgi7070258 |
J. E.
Lenssen,
A.
Toma,
A.
Seebold,
V.
Shpacovitch,
P.
Libuschewski,
F.
Weichert,
J.
Chen and
R.
Hergenröder,
"Real-Time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks"
,
11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018),
vol. 4 (BIOSIGNALS),
pp. 36-47,
2018.
W.
Tillmann,
C.
Schaak,
J.
Zajaczkowski,
H.
Müller,
D.
Hegels,
M.
Gaspar,
B.
Kuhlenkötter and
D. D.
Störkle,
"Investigation into the properties of HVOF-sprayed WC-Co coatings on plane and complex surfaces, manufactured with an evolution-based path planning method"
,
Thermal Spray Bulletin,
vol. 11,
2018.
D.
Stoller,
I.
Vatolkin and
H.
Müller,
"Intuitive and efficient computer aided music rearrangement with optimised processing of audio transitions"
,
Journal of New Music Research (accepted for publication),
2018.
J. E.
Lenssen,
M.
Fey and
P.
Libuschewski,
"Group Equivariant Capsule Networks"
in Neural Information Processing Systems (NIPS) 32,
2018.
| File |
2017
D.
Fisseler,
G.
Müller and
F.
Weichert,
"Web-Based Scientific Exploration and Analysis of 3D Scanned Cuneiform Datasets for Collaborative Research"
,
Informatics,
vol. 4,
pp. 1-16,
2017.
| 10.3390/informatics4040044 |
H.
Müller and
F.
Weichert,
Vorkurs Informatik - Der Einstieg ins Informatikstudium (2017).
....
5
Springer Vieweg,
2017.
D.
Siedhoff,
M.
Strauch,
V.
Shpacovitch and
D.
Merhof,
"Unsupervised Data Analysis for Virus Detection with a Surface Plasmon Resonance Sensor"
in IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA),
2017.
J. E.
Lenssen,
V.
Shpacovitch and
F.
Weichert,
"Real-time Virus Size Classification using Surface Plasmon Resonance and Convolutional Neural Networks"
,
Bildverarbeitung für die Medizin 2017,
pp. 98-103,
2017.
G.
Rinkenauer,
A.
Böckenkamp and
F.
Weichert,
"Man-Robot Collaboration in the Context of Industry 4.0: Approach-Avoidance Tendencies as an Indicator for the Affective Quality of Interaction?"
,
Advances in Ergonomic Design of Systems, Products and Processes: Proceedings of the Annual Meeting of GfA 2016,
pp. 335-348,
2017.