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ORCIDJan Eric Lenssen
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2020 – today
- 2024
[j3]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. Comput. Graph. Forum 43(2): i-iii (2024)- [c23]Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll:
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CVPR 2024: 1661-1671 - [c22]Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox:
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CVPR 2024: 8785-8794 - [c21]Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation. CVPR 2024: 10003-10015 - [c20]Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen:
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. CVPR 2024: 10715-10725 - [c19]Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
GEARS: Local Geometry-Aware Hand-Object Interaction Synthesis. CVPR 2024: 20634-20643 - [c18]Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen:
Improving 2D Feature Representations by 3D-Aware Fine-Tuning. ECCV (2) 2024: 57-74 - [c17]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024 - [i27]Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll:
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CoRR abs/2403.03122 (2024) - [i26]Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg:
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes. CoRR abs/2403.15064 (2024) - [i25]Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. CoRR abs/2403.16292 (2024) - [i24]Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying:
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR abs/2404.01340 (2024) - [i23]Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
GEARS: Local Geometry-aware Hand-object Interaction Synthesis. CoRR abs/2404.01758 (2024) - [i22]Soumava Paul, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen:
Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors. CoRR abs/2405.16517 (2024) - [i21]Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec:
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR abs/2407.20060 (2024) - [i20]Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen:
Improving 2D Feature Representations by 3D-Aware Fine-Tuning. CoRR abs/2407.20229 (2024) - [i19]Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele:
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets. CoRR abs/2408.12489 (2024) - [i18]Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll:
InterTrack: Tracking Human Object Interaction without Object Templates. CoRR abs/2408.13953 (2024) - [i17]Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen:
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors. CoRR abs/2408.16544 (2024) - 2023
- [c16]Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
SimNP: Learning Self-Similarity Priors Between Neural Points. ICCV 2023: 8807-8818 - [i16]Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen:
SimNP: Learning Self-Similarity Priors Between Neural Points. CoRR abs/2309.03809 (2023) - [i15]Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen:
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. CoRR abs/2312.01196 (2023) - [i14]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR abs/2312.04615 (2023) - [i13]Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation. CoRR abs/2312.07063 (2023) - [i12]Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox:
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR abs/2312.14124 (2023) - 2022
- [b1]Jan Eric Lenssen:
Differentiable algorithms with data-driven parameterization in 3D vision. Dortmund University, Germany, 2022 - [c15]Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement. ECCV (3) 2022: 1-19 - [c14]Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll:
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields. ECCV (5) 2022: 572-589 - [i11]Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll:
TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement. CoRR abs/2205.07982 (2022) - [i10]Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll:
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields. CoRR abs/2207.13807 (2022) - 2021
- [c13]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. ICML 2021: 3294-3304 - [i9]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec:
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. CoRR abs/2106.05609 (2021) - 2020
- [c12]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Deep Iterative Surface Normal Estimation. CVPR 2020: 11244-11253 - [c11]Yongheng Zhao
, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari:
Quaternion Equivariant Capsule Networks for 3D Point Clouds. ECCV (1) 2020: 1-19 - [c10]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. ECCV (29) 2020: 608-625 - [c9]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. ICLR 2020 - [i8]Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege:
Deep Graph Matching Consensus. CoRR abs/2001.09621 (2020) - [i7]Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe:
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. CoRR abs/2003.10983 (2020)
2010 – 2019
- 2019
- [j2]Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen:
Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms. Sensors 19(19): 4138 (2019) - [c8]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks. AAAI 2019: 4602-4609 - [c7]Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen:
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis. Bildverarbeitung für die Medizin 2019: 339-344 - [c6]Anas Toma, Juri Wenner, Jan Eric Lenssen, Jian-Jia Chen:
Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing. CCGRID 2019: 469-477 - [i6]Matthias Fey, Jan Eric Lenssen:
Fast Graph Representation Learning with PyTorch Geometric. CoRR abs/1903.02428 (2019) - [i5]Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci:
Differentiable Iterative Surface Normal Estimation. CoRR abs/1904.07172 (2019) - [i4]Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari:
Quaternion Equivariant Capsule Networks for 3D Point Clouds. CoRR abs/1912.12098 (2019) - 2018
- [c5]Jan Eric Lenssen, Anas Toma, Albert Seebold, Victoria Shpacovitch, Pascal Libuschewski, Frank Weichert, Jian-Jia Chen, Roland Hergenröder:
Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks. BIOSIGNALS 2018: 36-47 - [c4]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels. CVPR 2018: 869-877 - [c3]Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski:
Group Equivariant Capsule Networks. NeurIPS 2018: 8858-8867 - [c2]Anas Toma, Alexander Starinow, Jan Eric Lenssen, Jian-Jia Chen:
Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources. PDP 2018: 541-545 - [i3]Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski:
Group Equivariant Capsule Networks. CoRR abs/1806.05086 (2018) - [i2]Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe:
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks. CoRR abs/1810.02244 (2018) - 2017
- [j1]Victoria Shpacovitch, Irina Sidorenko, Jan Eric Lenssen, Vladimir Temchura, Frank Weichert, Heinrich Müller, Klaus Überla, Alexander Zybin, Alexander Schramm, Roland Hergenröder:
Application of the PAMONO-Sensor for Quantification of Microvesicles and Determination of Nano-Particle Size Distribution. Sensors 17(2): 244 (2017) - [c1]Jan Eric Lenssen, Victoria Shpacovitch, Frank Weichert:
Real-Time Virus Size Classification Using Surface Plasmon PAMONO Resonance and Convolutional Neural Networks. Bildverarbeitung für die Medizin 2017: 98-103 - [i1]Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller:
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels. CoRR abs/1711.08920 (2017)
Coauthor Index
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last updated on 2024-11-04 20:45 CET by the dblp team
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