Wissenschaftliche Publikationen - AG "Intelligente Sensorik"
2020
M.
Fey,
J.
Yuen and
F.
Weichert,
"Hierarchical Inter-Message Passing for Learning on Molecular Graphs"
in ICML Graph Representation Learning and Beyond (GRL+),
2020.
 PDF |  Link |
R.
Chabra,
J. E.
Lenssen,
E.
Ilg,
T.
Schmidt,
J.
Straub,
S.
Lovegrove and
R.
Newcombe,
"Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction"
in European Conference on Computer Vision (ECCV),
2020.
| Link |
J. E.
Lenssen,
C.
Osendorfer and
J.
Masci,
"Deep Iterative Surface Normal Estimation"
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
| PDF | Link |
T.
Harweg,
A.
Peter,
D.
Bachmann and
F.
Weichert,
CNN-Based Deep Architecture for Health Monitoring of Civil and Industrial Structures using UAVs:
6th International Electronic Conference on Sensors and Applications.
| PDF |  https://doi.org/10.3390/ecsa-6-06640 |
K.
Wüstefeld and
F.
Weichert,
"An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning"
,
IEEE Sensors,
pp. 1-4,
2020.
 PDF | Link | 10.1109/SENSORS47125.2020.9278935 |
M.
Kleineberg,
M.
Fey and
F.
Weichert,
"Adversarial Generation of Continuous Implicit Shape Representations"
in Eurographics,
2020.
| PDF | Link |
M. D.
Jedrusiak and
F.
Weichert,
"A Deep Learning Approach for Denoising Air-Coupled Ultrasonic Responds Data"
,
International Journal of Artificial Intelligence and Applications (IJAIA),
vol. 11,
no. 4,
pp. 15-28,
2020.
| PDF | Link |
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.
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.
| Datei |
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.
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 |
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.
D.
Fisseler,
"Contributions to computer-aided analysis of cuneiform tablet fragments",
Dissertation,
Universität Dortmund,
2019.
| Link |
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.
M.
Fey and
J. E.
Lenssen,
"Fast Graph Representation Learning with PyTorch Geometric"
in ICLR Workshop on Representation Learning on Graphs and Manifolds,
2019.
| Datei |
S.
Skibinski,
"Extraction, localization, and fusion of collective vehicle data",
Dissertation,
Universität Dortmund,
2019.
| Link |
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.
2018
J. E.
Lenssen,
M.
Fey and
P.
Libuschewski,
"Group Equivariant Capsule Networks"
in Neural Information Processing Systems (NIPS) 32,
2018.
| Datei |
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.
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.
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.
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.
| Datei |