DAGM

Publications

volume 14264, 2024

Pattern Recognition - 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings DAGM 14264 (2024)

2023

Jovita Lukasik, Michael Moeller, Margret Keuper
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM (2023)
Felix Seegräber, Patricia Schöntag, Felix Woelk, Kevin Köser
Underwater Multiview Stereo Using Axial Camera Models. DAGM (2023)
Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. DAGM (2023)
Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe
UGainS: Uncertainty Guided Anomaly Instance Segmentation. DAGM (2023)
Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM (2023)
David Tschirschwitz, Christian Benz, Morris Florek, Henrik Norderhus, Benno Stein, Volker Rodehorst
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels. DAGM (2023)
Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM (2023)
Julian Kuhlmann, Kai Rothaus, Xiaoyi Jiang, Henrik Faatz, Daniel Pauleikhoff, Matthias Gutfleisch
3D Retinal Vessel Segmentation in OCTA Volumes: Annotated Dataset MORE3D and Hybrid U-Net with Flattening Transformation. DAGM (2023)
Henrik Jobczyk, Hanno Homann
Automatic Reverse Engineering: Creating Computer-Aided Design (CAD) Models from Multi-view Images. DAGM (2023)
Sharik Siddiqi, Zorah Lähner
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions. DAGM (2023)
Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion. DAGM (2023)
Youssef Abdelkareem, Shady Shehata, Fakhri Karray
GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Human View Synthesis. DAGM (2023)
Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt
M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms. DAGM (2023)
Lina E. Budde, Dimitri Bulatov, Eva Strauss, Kevin Qiu, Dorota Iwaszczuk
Characterization of Out-of-distribution Samples from Uncertainty Maps Using Supervised Machine Learning. DAGM (2023)
Kolja Sielmann, Peer Stelldinger
Adversarial Perturbations Straight on JPEG Coefficients. DAGM (2023)
Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. DAGM (2023)
Karim Abou Zeid, Jonas Schult, Alexander Hermans, Bastian Leibe
Point2Vec for Self-supervised Representation Learning on Point Clouds. DAGM (2023)
David Stein, Bjoern Andres
Correlation Clustering of Bird Sounds. DAGM (2023)
Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
FullFormer: Generating Shapes Inside Shapes. DAGM (2023)
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. DAGM (2023)
Markus Bauer, Christoph Augenstein
Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading. DAGM (2023)
Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM (2023)
Seyed Majid Azimi, Reza Bahmanyar
Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery. DAGM (2023)
Christian Stippel, Thomas Heitzinger, Martin Kampel
A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Temporal Action Detection. DAGM (2023)
Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox
Best Practices in Active Learning for Semantic Segmentation. DAGM (2023)
Simon Seibt, Michael Arold, Bartosz von Rymon Lipinski, Uwe Wienkopf, Marc Erich Latoschik
Parallax-Aware Image Stitching Based on Homographic Decomposition. DAGM (2023)
Andreas Michel, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz
DustNet: Attention to Dust. DAGM (2023)
Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann
LMD: Light-Weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds. DAGM (2023)
Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning. DAGM (2023)
Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. DAGM (2023)
Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
DeViL: Decoding Vision features into Language. DAGM (2023)
Zhizheng Liu, Mattia Segù, Fisher Yu
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. DAGM (2023)
Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture. DAGM (2023)
Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata
Zero-Shot Translation of Attention Patterns in VQA Models to Natural Language. DAGM (2023)
Sina Mokhtarzadeh Azar, Radu Timofte
Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations. DAGM (2023)
Vinith Kugathasan, Muhammad Haris Khan
Multiclass Alignment of Confidence and Certainty for Network Calibration. DAGM (2023)
Tejumade Afonja, Dingfan Chen, Mario Fritz
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM (2023)
Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. DAGM (2023)
Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality. DAGM (2023)
Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM (2023)