2024

Text-guided Explorable Image Super-resolution

KV Gandikota*, Paramanand Chandramouli*,

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview

A Auras, KV Gandikota, H Droege, M Moeller, arXiv:2402.12072,2024.

Improving Native CNN Robustness with Filter Frequency Regularization

 J Lukasik*,  P Gavrikov*,  J Keuper,  M Keuper, TMLR 2023

Kissing to Find a Match: Efficient Low-Rank Permutation Representation

H Dröge, Z Lähner, Y Bahat, O Martorell Nadal, F Heide, M Möller

Advances in Neural Information Processing Systems 2023.

On the Direct Alignment of Latent Spaces

Z Lähner, M Moeller, UniReps: the First Workshop on Unifying Representations in Neural Models 2023.

Implicit Representations for Image Segmentation

JP Schneider, M Fatima, J Lukasik, A Kolb, M Keuper, M Moeller,

UniReps: the First Workshop on Unifying Representations in Neural Models 2023.

Differentiable Architecture Search: a One-Shot Method?

J Lukasik, J Geiping, M Moeller, M Keuper, AutoML Conference 2023.

An Evaluation of Zero-Cost Proxies--from Neural Architecture Performance to Model Robustness

J Lukasik, M Moeller, M Keuper, GCPR 2023

Sigma: Scale-invariant global sparse shape matching

M Gao, P Roetzer, M Eisenberger, Zorah Lähner, M Moeller, D Cremers, F Bernard, Proc. IEEE/CVF International Conference on Computer Vision (ICCV) 2023.

Evaluating Adversarial Robustness of Low dose CT Recovery

 KV Gandikota, P Chandramouli, H Droege, M Moeller

Proc. Medical Imaging in Deep Learning (MIDL) 2023.

Exploring Open Domain Image Super-Resolution through Text

 KV Gandikota*, P Chandramouli*

ICML 2023 Workshop on Artificial Intelligence & Human-Computer Interaction.

On the Unreasonable Vulnerability of Transformers for Image Restoration - and an easy fix

S Agnihotri,  KV Gandikota,  J Grabinski, P Chandramouli, M Keuper

Proc. IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023.

CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes

H Bhatia, E Tretschk,  Z Lähner, MS Benkner,  M Moeller, C Theobalt, V Golyanik

Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2023.

QuAnt: Quantum Annealing with Learnt Couplings

 MS Benkner,  M Krahn, E Tretschk,  Z Lähner,,  M Moeller, V Golyanik

International Conference on Learning Representations (ICLR) 2023.

FullFormer: Generating Shapes Inside Shapes

 T Medi, J Tayyub, M Sarmad, F Lindseth, M Keuper

DAGM German Conference on Pattern Recognition 2023.

A Network Analysis for Correspondence Learning via Linearly-Embedded Functions

S Siddiqi, Z Lähner

DAGM German Conference on Pattern Recognition, 2023.

Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching

P Roetzer, Z Lähner, F Bernard

Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.

Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching

L Bastian, Y Xie, N Navab, Z Lähner

arXiv preprint arXiv:2312.03678

A Simple Strategy to Provable Invariance via Orbit Mapping

KV  Gandikota, J Geiping, Z Lähner, M Moeller

Proceedings of the Asian Conference on Computer Vision (ACCV) 2022.

LDEdit: Towards generalized text guided image manipulation via latent diffusion models

P Chandramouli, KV  Gandikota

Proceedings of the British Machine Vision Conference (BMVC) 2022.

On Adversarial Robustness of Deep Image Deblurring

KV  Gandikota, P Chandramouli, M Moeller

Proc. IEEE International Conference on Image Processing(ICIP) 2022.

Non-smooth Energy Dissipating Networks

H Dröge, T Möllenhoff, M Möller

IEEE International Conference on Image Processing (ICIP) 2022

Explorable Data Consistent CT Reconstruction.

H Dröge, Y Bahat, F Heide, M Möller

Proceedings of the British Machine Vision Conference (BMVC) 2022.

Intrinsic neural fields: Learning functions on manifolds

L Koestler, D Grittner, M Moeller, D Cremers, Z Lähner

European Conference on Computer Vision 2022

Depthwise separable convolutions allow for fast and memory-efficient spectral normalization

C Runkel, C Etmann, M Möller, CB Schönlieb, arXiv preprint arXiv:2102.06496 2021.

Mitral valve segmentation using robust nonnegative matrix factorization                    H Dröge, B Yuan, R Llerena, JT Yen, M Moeller, AL Bertozzi Journal of imaging 7 (10), 213

Q-match: Iterative shape matching via quantum annealing

MS Benkner, Z Lähner, V Golyanik, C Wunderlich, C Theobalt, M Moeller

Proc. IEEE/CVF International Conference on Computer Vision (ICCV) 2021.

Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information                                                   

H Dröge, M Moeller  IEEE International Conference on Image Processing (ICIP),  2021

Inverting gradients-how easy is it to break privacy in federated learning?

J Geiping, H Bauermeister, H Dröge, M Moeller, Advances in Neural Information Processing Systems 2020.

A generative model for generic light field reconstruction

P Chandramouli, KV Gandikota, A Goerlitz, A Kolb, M Moeller

IEEE Transactions on Pattern Analysis and Machine Intelligence (Accepted) 2020.

Sign Language Recognition from Video and Translation into Text

C Runkel, S Dorenkamp, H Bauermeister, M Moeller,  25th International Conference on Pattern Recognition (ICPR)  2020.

A Simple Domain Adaptation Technique for Low quality Images

G Hegde, AN Ramesh, KV Gandikota, R Obermaisser, M Moeller,  25th International Conference on Pattern Recognition (ICPR)  2020.

2019

Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors

P Chandramouli and KV Gandikota, Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019.