Hannah Dröge - RankMe

21 papers A* 3A 2B 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neu-PiG: Neural Preconditioned Grids for Fast Dynamic Surface Reconstruction on Long Sequences. CoRR Julian Kaltheuner, Hannah Dröge, Markus Plack, Patrick Stotko, Reinhard Klein
2026	J	`jnl`	Transformer-Based Inpainting for Real-Time 3D Streaming in Sparse Multi-Camera Setups. CoRR Leif Van Holland, Domenic Zingsheim, Mana Takhsha, Hannah Dröge, Patrick Stotko, Markus Plack, Reinhard Klein
2025	J	`jnl`	Capture Stage Environments: A Guide to Better Matting. CoRR Hannah Dröge, Janelle Pfeifer, Saskia Rabich, Markus Plack, Reinhard Klein, Matthias B. Hullin
2025	J	`jnl`	Preconditioned Deformation Grids. Comput. Graph. Forum Julian Kaltheuner, Alexander Oebel, Hannah Dröge, Patrick Stotko, Reinhard Klein
2025	J	`jnl`	Preconditioned Deformation Grids. CoRR Julian Kaltheuner, Alexander Oebel, Hannah Dröge, Patrick Stotko, Reinhard Klein
2025	A*	`conf`	RIFTCast: A Template-Free End-to-End Multi-View Live Telepresence Framework and Benchmark. ACM Multimedia Domenic Zingsheim, Markus Plack, Hannah Dröge, Janelle Pfeifer, Patrick Stotko, Matthias B. Hullin, Reinhard Klein
2025	A	`conf`	VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors. WACV Markus Plack, Hannah Dröge, Leif Van Holland, Matthias B. Hullin
2025	J	`jnl`	Yesnt: Are Diffusion Relighting Models Ready for Capture Stage Compositing? A Hybrid Alternative to Bridge the Gap. CoRR Elisabeth Jüttner, Leona Krath, Stefan Korfhage, Hannah Dröge, Matthias B. Hullin, Markus Plack
2024	J	`jnl`	Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller
2024	—	`—`	On the confluence of machine learning and model-based energy minimization methods for computer vision. Hannah Dröge
2024	J	`jnl`	Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller
2024	J	`jnl`	VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors. CoRR Markus Plack, Hannah Dröge, Leif Van Holland, Matthias B. Hullin
2023	—	`conf`	Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller
2023	A*	`conf`	Kissing to Find a Match: Efficient Low-Rank Permutation Representation. NeurIPS Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell Nadal, Felix Heide, Michael Moeller
2023	J	`jnl`	Kissing to Find a Match: Efficient Low-Rank Permutation Representation. CoRR Hannah Dröge, Zorah Lähner, Yuval Bahat, Onofre Martorell, Felix Heide, Michael Möller
2022	A	`conf`	Explorable Data Consistent CT Reconstruction. BMVC Hannah Dröge, Yuval Bahat, Felix Heide, Michael Moeller
2022	B	`conf`	Non-Smooth Energy Dissipating Networks. ICIP Hannah Dröge, Thomas Möllenhoff, Michael Möller
2021	B	`conf`	Learning or Modelling? An Analysis of Single Image Segmentation Based on Scribble Information. ICIP Hannah Dröge, Michael Möller
2021	J	`jnl`	Mitral Valve Segmentation Using Robust Nonnegative Matrix Factorization. J. Imaging Hannah Dröge, Baichuan Yuan, Rafael Llerena, Jesse T. Yen, Michael Möller, Andrea L. Bertozzi
2020	A*	`conf`	Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller
2020	J	`jnl`	Inverting Gradients - How easy is it to break privacy in federated learning? CoRR Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller