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ORCID45th DAGM 2023: Heidelberg, Germany
- Ullrich Köthe
, Carsten Rother:
Pattern Recognition - 45th DAGM German Conference, DAGM GCPR 2023, Heidelberg, Germany, September 19-22, 2023, Proceedings. Lecture Notes in Computer Science 14264, Springer 2024, ISBN 978-3-031-54604-4
Segmentation and Action Recognition
- Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock:
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. 3-17 - Christian Stippel, Thomas Heitzinger, Martin Kampel:
A Trimodal Dataset: RGB, Thermal, and Depth for Human Segmentation and Temporal Action Detection. 18-33 - Seyed Majid Azimi, Reza Bahmanyar:
Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery. 34-49 - Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe:
UGainS: Uncertainty Guided Anomaly Instance Segmentation. 50-66 - Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper:
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. 67-82
3D Reconstruction and Neural Rendering
- 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. 85-99 - Sharik Siddiqi, Zorah Lähner:
A Network Analysis for Correspondence Learning via Linearly-Embedded Functions. 100-114 - Jiayin Zhu, Zhuoran Zhao, Linlin Yang, Angela Yao:
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image via High-Fidelity Texture. 115-130 - Karim Abou Zeid, Jonas Schult, Alexander Hermans, Bastian Leibe:
Point2Vec for Self-supervised Representation Learning on Point Clouds. 131-146 - Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper:
FullFormer: Generating Shapes Inside Shapes. 147-162 - Youssef Abdelkareem, Shady Shehata, Fakhri Karray:
GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Human View Synthesis. 163-177 - 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. 178-194 - Simon Seibt, Michael Arold, Bartosz von Rymon Lipinski, Uwe Wienkopf, Marc Erich Latoschik:
Parallax-Aware Image Stitching Based on Homographic Decomposition. 195-208
Photogrammetry and Remote Sensing
- Andreas Michel, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz:
DustNet: Attention to Dust. 211-226 - Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher:
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. 227-242 - Henrik Jobczyk, Hanno Homann:
Automatic Reverse Engineering: Creating Computer-Aided Design (CAD) Models from Multi-view Images. 243-259 - Lina E. Budde, Dimitri Bulatov, Eva Strauss, Kevin Qiu, Dorota Iwaszczuk:
Characterization of Out-of-distribution Samples from Uncertainty Maps Using Supervised Machine Learning. 260-274 - Felix Seegräber, Patricia Schöntag, Felix Woelk, Kevin Köser:
Underwater Multiview Stereo Using Axial Camera Models. 275-288
Pattern Recognition in the Life Sciences
- 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. 291-306 - Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt:
M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms. 307-320 - Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler:
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. 321-334 - Daniel Siegismund, Mario Wieser, Stephan Heyse, Stephan Steigele:
Learning Channel Importance for High Content Imaging with Interpretable Deep Input Channel Mixing. 335-347 - Markus Bauer, Christoph Augenstein:
Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading. 348-360
Interpretable Machine Learning
- Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. 363-377 - Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata:
Zero-Shot Translation of Attention Patterns in VQA Models to Natural Language. 378-393 - Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler:
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. 394-408 - Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. 409-424
Weak Supervision and Online Learning
- Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. 427-442 - Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. 443-458 - 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. 459-475 - Sina Mokhtarzadeh Azar, Radu Timofte:
Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations. 476-490 - Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning. 491-507 - David Stein, Bjoern Andres:
Correlation Clustering of Bird Sounds. 508-523 - Tejumade Afonja, Dingfan Chen, Mario Fritz:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. 524-537
Robust Models
- Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. 541-557 - Kolja Sielmann, Peer Stelldinger:
Adversarial Perturbations Straight on JPEG Coefficients. 558-573 - Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. 574-588 - Vinith Kugathasan, Muhammad Haris Khan:
Multiclass Alignment of Confidence and Certainty for Network Calibration. 589-604 - 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. 605-623 - Jovita Lukasik, Michael Moeller, Margret Keuper:
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. 624-638
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