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



About Me

Personal page.

My interest lies in designing differentiable algorithms, architectures and representations for percieving and representing the 3D world. Past research includes works in the areas of graph neural networks, equivariant operators, implicit neural fields and differentiable eigendecomposition. Currently, I am interested in scalable (generative) modeling for 3D representations, reconstruction and reasoning across spatial domains.

Short Biography
Community
  • Area Chair for NeurIPS 2024, ICLR 2025 and CVPR 2025
  • Reviewer for NeurIPS 2019-2023, ICLR 2021-2024, CVPR 2023-2024, ECCV 2022-2024, ICCV 2023, 3DV 2023, 2025, TPAMI, SIGGRAPH Asia 2024
Awards and Nominations
  • ECVA PhD Award for 2022 at ECCV 2024
  • TU Dortmund Dissertation Award 2022
  • ECCV 2022 Best Paper Honorable Mention
  • CVPR 2020 Best Paper Nomination
  • Best Paper Award at BIOSIGNALS 2018
  • Outstanding Reviewer Awards at CVPR 2024 and NeurIPS 2019

Publications

Spurfies: Sparse-view Surface Reconstruction using Local Geometry Priors
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
Spurfies: Sparse-view Surface Reconstruction using Local Geometry Priors
in International Conference on 3D Vision (3DV), 2025.
InterTrack: Tracking Human Object Interaction without Object Templates
Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
InterTrack: Tracking Human Object Interaction without Object Templates
in International Conference on 3D Vision (3DV), 2025.
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
in arXiv preprint, 2024.
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen
Improving 2D Feature Representations by 3D-Aware Fine-Tuning
in European Conference on Computer Vision (ECCV), 2024.
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 European Conference on Computer Vision (ECCV), 2024.
RelBench: A Benchmark for Deep Learning on Relational Databases
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
in NeurIPS 2024 - Dataset and Benchmarks, 2024.
Scribbles for All - Benchmarking Scribble Supervised Segmentation Across Datasets
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
Scribbles for All - Benchmarking Scribble Supervised Segmentation Across Datasets
in NeurIPS 2024 - Dataset and Benchmarks, 2024.
Spotlight
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.
From Similarity to Superiority: Channel Clustering for Time Series Forecasting
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
in Neural Information Processing Systems (NeurIPS), 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.
Highlight
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.
Highlight
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.
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
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 International Conference on Machine Learning (ICML) - Position Papers, 2024.
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 - Best Paper Nominated
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.