Eisenberger, Marvin

15 publications

ICLRW 2025 Graph Networks Struggle with Variable Scale Christian Koke, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

ICLRW 2025 On Incorporating Scale into Graph Networks Christian Koke, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

ICLRW 2025 On Multi-Scale Graph Representation Learning Christian Koke, Dominik Schnaus, Yuesong Shen, Abhishek Saroha, Marvin Eisenberger, Bastian Rieck, Michael M. Bronstein, Daniel Cremers

CVPR 2024 Partial-to-Partial Shape Matching with Geometric Consistency Viktoria Ehm, Maolin Gao, Paul Roetzer, Marvin Eisenberger, Daniel Cremers, Florian Bernard

CVPR 2024 SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé

CVPR 2024 Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation Dongliang Cao, Marvin Eisenberger, Nafie El Amrani, Daniel Cremers, Florian Bernard

ICMLW 2024 Transferability for Graph Convolutional Networks Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Michael M. Bronstein, Daniel Cremers

CVPR 2023 G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

NeurIPSW 2023 ResolvNet: A Graph Convolutional Network with Multi-Scale Consistency Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers

ICCV 2023 SIGMA: Scale-Invariant Global Sparse Shape Matching Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Moeller, Daniel Cremers, Florian Bernard

CVPR 2022 A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers

CVPR 2022 DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çağlar Şenaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé

CVPR 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

NeurIPS 2020 Deep Shells: Unsupervised Shape Correspondence with Optimal Transport Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

ECCV 2020 Hamiltonian Dynamics for Real-World Shape Interpolation Marvin Eisenberger, Daniel Cremers