• Max-Planck-Institut für Informatik
    Saarland Informatics Campus
    Campus E1 4
    66123 Saarbrücken
  • Room 618
  • jlenssen@mpi-inf.mpg.de

Publications

latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
in arXiv preprint arXiv:2403.16292, 2024.
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
arXiv
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
Xianghui Xie, Bharat Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
Keyang Zhou, Bharat Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
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
in Eurographics, 2024.
arXiv
Relational Deep Learning: Graph Representation Learning on Relational Databases
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
in arXiv preprint arXiv:2312.04615, 2023.
SimNP: Learning Self-Similarity Priors between Neural Points
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
SimNP: Learning Self-Similarity Priors between Neural Points
in International Conference of Computer Vision (ICCV), 2023.
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
in European Conference on Computer Vision (ECCV), 2022.
Oral - Best Paper Honourable Mention
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
in European Conference on Computer Vision (ECCV), 2022.
GnnAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
GnnAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
in International Conference of Machine Learning (ICML), 2021.
Deep Graph Matching Consensus
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils Kriege
Deep Graph Matching Consensus
in International Conference on Learning Representations (ICLR), 2020.
Deep Iterative Surface Normal Estimation
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
Deep Iterative Surface Normal Estimation
in Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Oral
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
in European Conference on Computer Vision (ECCV), 2020.
arXiv
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari
Quaternion Equivariant Capsule Networks for 3D Point Clouds
in European Conference on Computer Vision (ECCV), 2020.
Oral
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey, Jan Eric Lenssen
Fast Graph Representation Learning with PyTorch Geometric
in ICLR Workshop on Graph Learning (ICLR-W), 2019.
Weisfeiler and leman go neural: Higher-order graph neural networks
Christopher Morris, Martin Ritzert, Matthias Fey, William Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
Weisfeiler and leman go neural: Higher-order graph neural networks
in AAAI Conference on Artificial Intelligence (AAAI), 2019.
Group Equivariant Capsule Networks
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
Group Equivariant Capsule Networks
in Neural Information Processing Systems (NeurIPS), 2018.
Group Equivariant Capsule Networks
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
Group Equivariant Capsule Networks
in Conference on Computer Vision and Pattern Recognition (CVPR), 2018.