Jan Eric Lenssen

Cited by

	All	Since 2016
Citations	973	972
h-index	8	8
i10-index	8	8

700

350

175

525

201720182019202020213 22 242 693 8

Co-authors

Matthias FeyTU Dortmund UniversityVerified email at tu-dortmund.de
Christopher MorrisPostdoc, Polytechnique MontréalVerified email at christophermorris.info
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
Martin RitzertRWTH Aachen UniversityVerified email at rwth-aachen.de
William L HamiltonAssistant Professor of Computer Science, McGill University and MilaVerified email at cs.mcgill.ca
Gaurav RattanResearcher, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
Jonathan MasciNNAISENSE SAVerified email at nnaisense.com
Anas TomaDepartment of Computer Engineering, An-Najah National University, Nablus, Palestine.Verified email at najah.edu
Jian-Jia ChenProfessor of Computer Science, TU Dortmund University, GermanyVerified email at cs.uni-dortmund.de
Alexander SchrammUniversity Hospital EssenVerified email at uni-due.de
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
Rohan ChabraUniversity of North Carolina at Chapel HillVerified email at cs.unc.edu
Julian StraubResearch Scientist, Facebook Reality LabsVerified email at csail.mit.edu
Tanner SchmidtFacebook Reality LabsVerified email at oculus.com
Richard NewcombeDirector of Research Science at Facebook Reality Labs, Surreal Vision Co-Founder, AffiliateVerified email at cs.washington.edu
Steven J LovegroveResearch Scientist at Facebook Reality LabsVerified email at fb.com
Eddy IlgFacebook Reality LabsVerified email at eddy-ilg.net
Tolga BirdalStanford UniversityVerified email at cs.stanford.edu
Federico TombariGoogle, TU MunichVerified email at in.tum.de
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu

Jan Eric Lenssen

PhD Student, TU Dortmund University

Verified email at udo.edu

Differentiable algorithms Deep Learning GPU algorithms Computer vision Computer graphics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast Graph Representation Learning with PyTorch Geometric M Fey, JE Lenssen ICLR 2019 Workshop: Representation Learning on Graphs and Manifolds, 2019	444	2019
Weisfeiler and leman go neural: Higher-order graph neural networks C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen, G Rattan, M Grohe Proceedings of the AAAI Conference on Artificial Intelligence 33, 4602-4609, 2019	234	2019
SplineCNN: Fast geometric deep learning with continuous B-spline kernels M Fey, JE Lenssen, F Weichert, H Müller IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), 869-877, 2018	159	2018
Group Equivariant Capsule Networks JE Lenssen, M Fey, P Libuschewski Advances in Neural Information Processing Systems (NeurIPS 2018), 8844-8853, 2018	47	2018
Deep Graph Matching Consensus M Fey, JE Lenssen, C Morris, J Masci, NM Kriege International Conference on Learning Representation (ICLR 2020), 2020	26	2020
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction R Chabra, JE Lenssen, E Ilg, T Schmidt, J Straub, S Lovegrove, ... European Conference on Computer Vision (ECCV 2020), 2020	18	2020
Application of the PAMONO-Sensor for Quantiﬁcation of Microvesicles and Determination of Nano-Particle Size Distribution V Shpacovitch, I Sidorenko, JE Lenssen, V Temchura, F Weichert, ... Sensors 17 (2), 244, 2017	16	2017
Quaternion Equivariant Capsule Networks for 3D Point Clouds Y Zhao, T Birdal, JE Lenssen, E Menegatti, L Guibas, F Tombari European Conference on Computer Vision (ECCV 2020), 2020	12	2020
Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks. JE Lenssen, A Toma, A Seebold, V Shpacovitch, P Libuschewski, ... BIOSIGNALS, 36-47, 2018	5	2018
Real-Time Virus Size Classification Using Surface Plasmon PAMONO Resonance and Convolutional Neural Networks JE Lenssen, V Shpacovitch, F Weichert Bildverarbeitung für die Medizin 2017, 98-103, 2017	4	2017
Deep Iterative Surface Normal Estimation JE Lenssen, C Osendorfer, J Masci IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020	3*	2020
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis M Yayla, A Toma, JE Lenssen, V Shpacovitch, KH Chen, F Weichert, ... Bildverarbeitung für die Medizin 2019, 339-344, 2019	2	2019
Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing A Toma, J Wenner, JE Lenssen, JJ Chen 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2019	1	2019
Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms M Yayla, A Toma, KH Chen, JE Lenssen, V Shpacovitch, R Hergenröder, ... Sensors 19 (19), 4138, 2019	1	2019
Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources A Toma, A Starinow, JE Lenssen, JJ Chen 2018 26th Euromicro International Conference on Parallel, Distributed and …, 2018	1	2018
The PAMONO-Sensor Enables Quantification of Individual Microvesicles and Estimation of Nanoparticle Size Distribution V Shpacovitch, I Sidorenko, JE Lenssen, V Temchura, F Weichert, ... Multidisciplinary Digital Publishing Institute Proceedings 1 (8), 744, 2017		2017
A Review of Nano-Particle Analysis with the PAMONO-Sensor JE Lenssen, V Shpacovitch, D Siedhoff, P Libuschewski, R Hergenröder, ... Biosensors: Advances and Reviews, IFSA Publishing, 81-100, 2017		2017

The system can't perform the operation now. Try again later.

Articles 1–17

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors