Jan Eric Lenssen

84 papers A* 21B 1C 1Journal 49Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning.
CoRR
Eric Nazarenus, Chuqiao Li, Yannan He, Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
2026 J jnl
Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases.
CoRR
Vid Kocijan, Jinu Sunil, Jan Eric Lenssen, Viman Deb, Xinwei Xe, Federico Reyes Gomez, Matthias Fey, Jure Leskovec
2026 J jnl
Rewis3d: Reconstruction Improves Weakly-Supervised Semantic Segmentation.
CoRR
Jonas Ernst, Wolfgang Boettcher, Lukas Hoyer, Jan Eric Lenssen, Bernt Schiele
2026 J jnl
SceneTok: A Compressed, Diffusable Token Space for 3D Scenes.
CoRR
Mohammad Asim, Christopher Wewer, Jan Eric Lenssen
2026 J jnl
SemanticNVS: Improving Semantic Scene Understanding in Generative Novel View Synthesis.
CoRR
Xinya Chen, Christopher Wewer, Jiahao Xie, Xinting Hu, Jan Eric Lenssen
2025 J jnl
AnyUp: Universal Feature Upsampling.
CoRR
Thomas Wimmer, Prune Truong, Marie-Julie Rakotosaona, Michael Oechsle, Federico Tombari, Bernt Schiele, Jan Eric Lenssen
2025 A* conf
ContextGNN: Beyond Two-Tower Recommendation Systems.
ICLR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2025 — conf
InterTrack: Tracking Human Object Interaction Without Object Templates.
3DV
Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
2025 A* conf
MET3R: Measuring Multi-View Consistency in Generated Images.
CVPR
Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, Jan Eric Lenssen
2025 J jnl
MEt3R: Measuring Multi-View Consistency in Generated Images.
CoRR
Mohammad Asim, Christopher Wewer, Thomas Wimmer, Bernt Schiele, Jan Eric Lenssen
2025 J jnl
MVGBench: Comprehensive Benchmark for Multi-view Generation Models.
CoRR
Xianghui Xie, Chuhang Zou, Meher Gitika Karumuri, Jan Eric Lenssen, Gerard Pons-Moll
2025 J jnl
MoLingo: Motion-Language Alignment for Text-to-Motion Generation.
CoRR
Yannan He, Garvita Tiwari, Xiaohan Zhang, Pankaj Bora, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2025 J jnl
MoonSeg3R: Monocular Online Zero-Shot Segment Anything in 3D with Reconstructive Foundation Priors.
CoRR
Zhipeng Du, Duolikun Danier, Jan Eric Lenssen, Hakan Bilen
2025 A* conf
PersonaHOI: Effortlessly Improving Face Personalization in Human-Object Interaction Generation.
CVPR
Xinting Hu, Haoran Wang, Jan Eric Lenssen, Bernt Schiele
2025 J jnl
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation.
CoRR
Xinting Hu, Haoran Wang, Jan Eric Lenssen, Bernt Schiele
2025 J jnl
PyG 2.0: Scalable Learning on Real World Graphs.
CoRR
Matthias Fey, Jinu Sunil, Akihiro Nitta, Rishi Puri, Manan Shah, Blaz Stojanovic, Ramona Bendias, Alexandria Barghi, Vid Kocijan, Zecheng Zhang, Xinwei He, Jan Eric Lenssen, Jure Leskovec
2025 J jnl
RefAM: Attention Magnets for Zero-Shot Referral Segmentation.
CoRR
Anna Kukleva, Enis Simsar, Alessio Tonioni, Muhammad Ferjad Naeem, Federico Tombari, Jan Eric Lenssen, Bernt Schiele
2025 J jnl
Solving Inverse Problems with FLAIR.
CoRR
Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler
2025 J jnl
Spatial Reasoners for Continuous Variables in Any Domain.
CoRR
Bart Pogodzinski, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen
2025 A* conf
Spatial Reasoning with Denoising Models.
ICML
Christopher Wewer, Bartlomiej Pogodzinski, Bernt Schiele, Jan Eric Lenssen
2025 J jnl
Spatial Reasoning with Denoising Models.
CoRR
Christopher Wewer, Bart Pogodzinski, Bernt Schiele, Jan Eric Lenssen
2025 — conf
Spurfies: Sparse-View Surface Reconstruction Using Local Geometry Priors.
3DV
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2025 A* conf
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters.
ICLR
Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2024 J jnl
ContextGNN: Beyond Two-Tower Recommendation Systems.
CoRR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2024 A* conf
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
NeurIPS
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 J jnl
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
CoRR
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 A* conf
GEARS: Local Geometry-Aware Hand-Object Interaction Synthesis.
CVPR
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2024 J jnl
GEARS: Local Geometry-aware Hand-object Interaction Synthesis.
CoRR
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2024 — conf
Improving 2D Feature Representations by 3D-Aware Fine-Tuning.
ECCV (2)
Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen
2024 J jnl
Improving 2D Feature Representations by 3D-Aware Fine-Tuning.
CoRR
Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen
2024 J jnl
InterTrack: Tracking Human Object Interaction without Object Templates.
CoRR
Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
2024 — conf
LatentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.
ECCV (87)
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2024 A* conf
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors.
CVPR
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2024 J jnl
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors.
CoRR
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
2024 A* conf
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction.
CVPR
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2024 A* conf
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation.
CVPR
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2024 A* conf
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.
ICML
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2024 J jnl
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes.
Comput. Graph. Forum
Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg
2024 J jnl
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes.
CoRR
Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg
2024 A* conf
RelBench: A Benchmark for Deep Learning on Relational Databases.
NeurIPS
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
2024 J jnl
RelBench: A Benchmark for Deep Learning on Relational Databases.
CoRR
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
2024 J jnl
SLayR: Scene Layout Generation with Rectified Flow.
CoRR
Cameron Braunstein, Hevra Petekkaya, Jan Eric Lenssen, Mariya Toneva, Eddy Ilg
2024 A* conf
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets.
NeurIPS
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
2024 J jnl
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets.
CoRR
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
2024 J jnl
Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors.
CoRR
Soumava Paul, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen
2024 J jnl
Spurfies: Sparse Surface Reconstruction using Local Geometry Priors.
CoRR
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2024 A* conf
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation.
CVPR
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2024 J jnl
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters.
CoRR
Haiyang Wang, Yue Fan, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
2024 J jnl
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.
CoRR
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2023 J jnl
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction.
CoRR
Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
2023 J jnl
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation.
CoRR
Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox
2023 J jnl
Relational Deep Learning: Graph Representation Learning on Relational Databases.
CoRR
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2023 A* conf
SimNP: Learning Self-Similarity Priors Between Neural Points.
ICCV
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2023 J jnl
SimNP: Learning Self-Similarity Priors Between Neural Points.
CoRR
Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
2023 J jnl
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation.
CoRR
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2022 — —
Differentiable algorithms with data-driven parameterization in 3D vision
Jan Eric Lenssen
2022 — conf
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields.
ECCV (5)
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
2022 J jnl
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields.
CoRR
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
2022 J jnl
TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement.
CoRR
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2022 — conf
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement.
ECCV (3)
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
2021 A* conf
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.
ICML
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
2021 J jnl
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.
CoRR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec
2020 A* conf
Deep Graph Matching Consensus.
ICLR
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
2020 J jnl
Deep Graph Matching Consensus.
CoRR
Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege
2020 A* conf
Deep Iterative Surface Normal Estimation.
CVPR
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
2020 — conf
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.
ECCV (29)
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020 J jnl
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.
CoRR
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020 — conf
Quaternion Equivariant Capsule Networks for 3D Point Clouds.
ECCV (1)
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
2019 B conf
Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing.
CCGRID
Anas Toma, Juri Wenner, Jan Eric Lenssen, Jian-Jia Chen
2019 J jnl
Differentiable Iterative Surface Normal Estimation.
CoRR
Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci
2019 J jnl
Fast Graph Representation Learning with PyTorch Geometric.
CoRR
Matthias Fey, Jan Eric Lenssen
2019 J jnl
Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms.
Sensors
Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen
2019 J jnl
Quaternion Equivariant Capsule Networks for 3D Point Clouds.
CoRR
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari
2019 — conf
Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis.
Bildverarbeitung für die Medizin
Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen
2019 A* conf
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks.
AAAI
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2018 A* conf
Group Equivariant Capsule Networks.
NeurIPS
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
2018 J jnl
Group Equivariant Capsule Networks.
CoRR
Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski
2018 — conf
Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks.
BIOSIGNALS
Jan Eric Lenssen, Anas Toma, Albert Seebold, Victoria Shpacovitch, Pascal Libuschewski, Frank Weichert, Jian-Jia Chen, Roland Hergenröder
2018 C conf
Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources.
PDP
Anas Toma, Alexander Starinow, Jan Eric Lenssen, Jian-Jia Chen
2018 A* conf
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels.
CVPR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller
2018 J jnl
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks.
CoRR
Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe
2017 J jnl
Application of the PAMONO-Sensor for Quantification of Microvesicles and Determination of Nano-Particle Size Distribution.
Sensors
Victoria Shpacovitch, Irina Sidorenko, Jan Eric Lenssen, Vladimir Temchura, Frank Weichert, Heinrich Müller, Klaus Überla, Alexander Zybin, Alexander Schramm, Roland Hergenröder
2017 — conf
Real-Time Virus Size Classification Using Surface Plasmon PAMONO Resonance and Convolutional Neural Networks.
Bildverarbeitung für die Medizin
Jan Eric Lenssen, Victoria Shpacovitch, Frank Weichert
2017 J jnl
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels.
CoRR
Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller