Jan Eric Lenssen

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Feature Representations

Top Venues

Bildverarbeitung für die Medizin

Publications

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 (2024)
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 (2024)
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) (2024)
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. CoRR (2024)
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 (2024)
Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen
Improving 2D Feature Representations by 3D-Aware Fine-Tuning. CoRR (2024)
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction. CoRR (2024)
Soumava Paul, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen
Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors. CoRR (2024)
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
GEARS: Local Geometry-aware Hand-object Interaction Synthesis. CoRR (2024)
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
SimNP: Learning Self-Similarity Priors Between Neural Points. CoRR (2023)
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation. CoRR (2023)
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 (2023)
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. CoRR (2023)
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
SimNP: Learning Self-Similarity Priors Between Neural Points. ICCV (2023)
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation. CoRR (2023)
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement. ECCV (3) (2022)
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)
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement. CoRR (2022)
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 (2022)
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. ICML (2021)
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings. CoRR (2021)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. CoRR (2020)
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
Deep Graph Matching Consensus. ICLR (2020)
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)
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)
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
Deep Iterative Surface Normal Estimation. CVPR (2020)
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 (2020)
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) (2019)
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)
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)
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
Differentiable Iterative Surface Normal Estimation. CoRR (2019)
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
Quaternion Equivariant Capsule Networks for 3D Point Clouds. CoRR (2019)
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)
Matthias Fey, Jan Eric Lenssen
Fast Graph Representation Learning with PyTorch Geometric. CoRR (2019)
Anas Toma, Alexander Starinow, Jan Eric Lenssen, Jian-Jia Chen
Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources. PDP (2018)
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
Group Equivariant Capsule Networks. NeurIPS (2018)
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)
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels. CVPR (2018)
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
Group Equivariant Capsule Networks. CoRR (2018)
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 (2018)
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)
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) (2017)
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels. CoRR (2017)