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Publication search results
found 2,547 matches
- 2024
- 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 [contents] - 2023
- Youssef Abdelkareem, Shady Shehata, Fakhri Karray:
GenLayNeRF: Generalizable Layered Representations with 3D Model Alignment for Human View Synthesis. DAGM 2023: 163-177 - Tejumade Afonja, Dingfan Chen, Mario Fritz:
MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM 2023: 524-537 - Sina Mokhtarzadeh Azar, Radu Timofte:
Speeding Up Online Self-Supervised Learning by Exploiting Its Limitations. DAGM 2023: 476-490 - Seyed Majid Azimi, Reza Bahmanyar:
Airborne-Shadow: Towards Fine-Grained Shadow Detection in Aerial Imagery. DAGM 2023: 34-49 - Markus Bauer, Christoph Augenstein:
Self-supervised Learning in Histopathology: New Perspectives for Prostate Cancer Grading. DAGM 2023: 348-360 - Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler:
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM 2023: 394-408 - Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock:
Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions. DAGM 2023: 3-17 - 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: 260-274 - Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata:
DeViL: Decoding Vision features into Language. DAGM 2023: 363-377 - Henrik Jobczyk, Hanno Homann:
Automatic Reverse Engineering: Creating Computer-Aided Design (CAD) Models from Multi-view Images. DAGM 2023: 243-259 - Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. DAGM 2023: 409-424 - 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: 321-334 - Vinith Kugathasan, Muhammad Haris Khan:
Multiclass Alignment of Confidence and Certainty for Network Calibration. DAGM 2023: 589-604 - 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: 291-306 - Johannes Leonhardt, Lukas Drees, Jürgen Gall, Ribana Roscher:
Leveraging Bioclimatic Context for Supervised and Self-supervised Land Cover Classification. DAGM 2023: 227-242 - Zhizheng Liu, Mattia Segù, Fisher Yu:
COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking. DAGM 2023: 443-458 - Max Maria Losch, David Stutz, Bernt Schiele, Mario Fritz:
Certified Robust Models with Slack Control and Large Lipschitz Constants. DAGM 2023: 574-588 - Jovita Lukasik, Michael Moeller, Margret Keuper:
An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness. DAGM 2023: 624-638 - Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper:
FullFormer: Generating Shapes Inside Shapes. DAGM 2023: 147-162 - Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata:
Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning. DAGM 2023: 491-507 - Andreas Michel, Martin Weinmann, Fabian Schenkel, Tomas Gomez, Mark Falvey, Rainer Schmitz, Wolfgang Middelmann, Stefan Hinz:
DustNet: Attention to Dust. DAGM 2023: 211-226 - Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. DAGM 2023: 427-442 - Alexey Nekrasov, Alexander Hermans, Lars Kuhnert, Bastian Leibe:
UGainS: Uncertainty Guided Anomaly Instance Segmentation. DAGM 2023: 50-66 - Ece Ozkan, Thomas M. Sutter, Yurong Hu, Sebastian Balzer, Julia E. Vogt:
M(otion)-Mode Based Prediction of Ejection Fraction Using Echocardiograms. DAGM 2023: 307-320 - Katharina Prasse, Steffen Jung, Yuxuan Zhou, Margret Keuper:
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition. DAGM 2023: 67-82 - 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: 85-99 - 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: 378-393 - 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: 459-475 - Marvin Schmitt, Paul-Christian Bürkner, Ullrich Köthe, Stefan T. Radev:
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks. DAGM 2023: 541-557
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