J. E. Lenssen

发表

WHAT GRAPH NEURAL NETWORKS CANNOT LEARN: DEPTH

William L. Hamilton, Matthias Fey, J. E. Lenssen, 2019 .

GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings

Jure Leskovec, Frank Weichert, Matthias Fey, 2021, ICML.

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

Bharat Lal Bhatnagar, Gerard Pons-Moll, J. E. Lenssen, 2022, ArXiv.

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

Bharat Lal Bhatnagar, Gerard Pons-Moll, J. E. Lenssen, 2022, ECCV.

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

Gerard Pons-Moll, N. Sarafianos, Tony Tung, 2022, ECCV.

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction

Richard A. Newcombe, S. Lovegrove, Tanner Schmidt, 2020, ECCV.

Fast Graph Representation Learning with PyTorch Geometric pdf

Jan Eric Lenssen, Matthias Fey, Matthias Fey, 2019, ArXiv.

Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

Martin Grohe, William L. Hamilton, Gaurav Rattan, 2018, AAAI.

Deep Graph Matching Consensus pdf

Nils M. Kriege, Christopher Morris, Jonathan Masci, 2020, ICLR.

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

Heinrich Müller, Frank Weichert, Jan Eric Lenssen, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Group Equivariant Capsule Networks

Pascal Libuschewski, Jan Eric Lenssen, Matthias Fey, 2018, NeurIPS.

Quaternion Equivariant Capsule Networks for 3D Point Clouds pdf

Emanuele Menegatti, Federico Tombari, Yongheng Zhao, 2019, ECCV.

Deep Iterative Surface Normal Estimation

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Jian-Jia Chen, Frank Weichert, Pascal Libuschewski, 2018, BIOSIGNALS.

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

Jian-Jia Chen, Kuan-Hsun Chen, Frank Weichert, 2019, Sensors.

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

Jian-Jia Chen, Anas Toma, Juri Wenner, 2019, 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).

Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis

Jian-Jia Chen, Frank Weichert, Mikail Yayla, 2019, Bildverarbeitung für die Medizin.

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

Frank Weichert, Jan Eric Lenssen, Victoria Shpacovitch, 2017, Bildverarbeitung für die Medizin.

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

Heinrich Müller, Frank Weichert, Alexander Schramm, 2017, Sensors.

Attacking Graph Classification via Bayesian Optimisation

Matthias Fey, J. E. Lenssen, Gaurav Rattan, 2021 .

Differentiable Iterative Surface Normal Estimation pdf

Christian Osendorfer, Jonathan Masci, Jan Eric Lenssen, 2019, ArXiv.

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

Bharat Lal Bhatnagar, Gerard Pons-Moll, J. E. Lenssen, 2022, ECCV.

SimNP: Learning Self-Similarity Priors Between Neural Points

B. Schiele, Eddy Ilg, J. E. Lenssen, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Eddy Ilg, J. E. Lenssen, Philipp Schröppel, 2023, ArXiv.

Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction

Eddy Ilg, J. E. Lenssen, Christopher Wewer, 2023, ArXiv.

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

Bharat Lal Bhatnagar, Gerard Pons-Moll, J. E. Lenssen, 2023, ArXiv.

Relational Deep Learning: Graph Representation Learning on Relational Databases

Weihua Hu, Matthias Fey, Jiaxuan You, 2023, ArXiv.

Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes

Eddy Ilg, Gerard Pons-Moll, Vladislav Golyanik, 2024, Computer Graphics Forum.