Jan Eric Lenssen

According to our database, Jan Eric Lenssen authored at least 39 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

Comput. Graph. Forum, May, 2024

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

CoRR, 2024

Spurfies: Sparse Surface Reconstruction using Local Geometry Priors.

Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen

CoRR, 2024

InterTrack: Tracking Human Object Interaction without Object Templates.

Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll

CoRR, 2024

Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets.

Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele

CoRR, 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

CoRR, 2024

Sp2360: Sparse-view 360 Scene Reconstruction using Cascaded 2D Diffusion Priors.

Soumava Paul, Christopher Wewer, Bernt Schiele, Jan Eric Lenssen

CoRR, 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

CoRR, 2024

Position: 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving 2D Feature Representations by 3D-Aware Fine-Tuning.

Yuanwen Yue, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen

Proceedings of the Computer Vision - ECCV 2024, 2024

LatentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.

Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen

Proceedings of the Computer Vision - ECCV 2024, 2024

GEARS: Local Geometry-Aware Hand-Object Interaction Synthesis.

Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation.

Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation.

Philipp Schröppel, Christopher Wewer, Jan Eric Lenssen, Eddy Ilg, Thomas Brox

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors.

Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction.

Devikalyan Das, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

CoRR, 2023

SimNP: Learning Self-Similarity Priors Between Neural Points.

Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Differentiable algorithms with data-driven parameterization in 3D vision

Jan Eric Lenssen

PhD thesis, 2022

TOCH: Spatio-Temporal Object Correspondence to Hand for Motion Refinement.

Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll

CoRR, 2022

TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement.

Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll

Proceedings of the Computer Vision - ECCV 2022, 2022

Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields.

Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings.

Matthias Fey, Jan Eric Lenssen, Frank Weichert, Jure Leskovec

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Graph Matching Consensus.

Matthias Fey, Jan Eric Lenssen, Christopher Morris, Jonathan Masci, Nils M. Kriege

Proceedings of the 8th International Conference on Learning Representations, 2020

Quaternion Equivariant Capsule Networks for 3D Point Clouds.

Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari

Proceedings of the Computer Vision - ECCV 2020, 2020

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 A. Newcombe

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Iterative Surface Normal Estimation.

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Nanoparticle Classification Using Frequency Domain Analysis on Resource-Limited Platforms.

Mikail Yayla, Anas Toma, Kuan-Hsun Chen, Jan Eric Lenssen, Victoria Shpacovitch, Roland Hergenröder, Frank Weichert, Jian-Jia Chen

Sensors, 2019

Differentiable Iterative Surface Normal Estimation.

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

CoRR, 2019

Fast Graph Representation Learning with PyTorch Geometric.

Matthias Fey, Jan Eric Lenssen

CoRR, 2019

Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing.

Anas Toma, Juri Wenner, Jan Eric Lenssen, Jian-Jia Chen

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis.

Mikail Yayla, Anas Toma, Jan Eric Lenssen, Victoria Shpacovitch, Kuan-Hsun Chen, Frank Weichert, Jian-Jia Chen

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks.

Christopher Morris, Martin Ritzert, Matthias Fey, William L. Hamilton, Jan Eric Lenssen, Gaurav Rattan, Martin Grohe

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Saving Energy for Cloud Applications in Mobile Devices Using Nearby Resources.

Anas Toma, Alexander Starinow, Jan Eric Lenssen, Jian-Jia Chen

Proceedings of the 26th Euromicro International Conference on Parallel, 2018

Group Equivariant Capsule Networks.

Jan Eric Lenssen, Matthias Fey, Pascal Libuschewski

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels.

Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Müller

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Real-time Low SNR Signal Processing for Nanoparticle Analysis with Deep Neural Networks.

Jan Eric Lenssen, Anas Toma, Albert Seebold, Victoria Shpacovitch, Pascal Libuschewski, Frank Weichert, Jian-Jia Chen, Roland Hergenröder

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

Application of the PAMONO-Sensor for Quantification of Microvesicles and Determination of Nano-Particle Size Distribution.

Victoria Shpacovitch, Irina Sidorenko, Jan Eric Lenssen, Vladimir Temchura, Frank Weichert, Heinrich Müller, Klaus Überla, Alexander Zybin, Alexander Schramm, Roland Hergenröder

Sensors, 2017

Real-Time Virus Size Classification Using Surface Plasmon PAMONO Resonance and Convolutional Neural Networks.

Jan Eric Lenssen, Victoria Shpacovitch, Frank Weichert

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017