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Jan Lellmann

3 accepted papers

2026

Diffeomorphism-Equivariant Neural Networks

ICML 2026poster

Incorporating group symmetries via equivariance into neural networks has emerged as a robust approach for overcoming the efficiency and data demands of modern deep learning. While most existing approaches, such as group convolutions and averaging-based methods, focus on compact, finite, or low-dimen…

Cited by 0SourceScholar
2022

An Iterative Quantum Approach for Transformation Estimation From Point Sets

CVPR 2022poster

We propose an iterative method for estimating rigid transformations from point sets using adiabatic quantum computation. Compared to existing quantum approaches, our method relies on an adaptive scheme to solve the problem to high precision, and does not suffer from inconsistent rotation matrices. E…

Cited by 22PDFScholar
2016

Sublabel-Accurate Relaxation of Nonconvex Energies

CVPR 2016oral

We propose a novel spatially continuous framework for convex relaxations based on functional lifting. Our method can be interpreted as a sublabel-accurate solution to multilabel problems. We show that previously proposed functional lifting methods optimize an energy which is linear between two label…

Cited by 50PDFcodeScholar