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43rd GCPR 2021: Bonn, Germany
- Christian Bauckhage
, Juergen Gall
Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28 - October 1, 2021, Proceedings. Lecture Notes in Computer Science 13024, Springer 2021, ISBN 978-3-030-92658-8
Machine Learning and Optimization
- Zhenzhang Ye, Bjoern Haefner, Yvain Quéau, Thomas Möllenhoff
Sublabel-Accurate Multilabeling Meets Product Label Spaces. 3-17 - Robert Harb, Patrick Knöbelreiter:
InfoSeg: Unsupervised Semantic Image Segmentation with Mutual Information Maximization. 18-32 - Jannik Schmitt
Sampling-Free Variational Inference for Neural Networks with Multiplicative Activation Noise. 33-47 - Christian Reimers
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. 48-62 - Yue Fan, Anna Kukleva, Bernt Schiele:
Revisiting Consistency Regularization for Semi-supervised Learning. 63-78 - Jens Müller, Robert Schmier, Lynton Ardizzone, Carsten Rother, Ullrich Köthe:
Learning Robust Models Using the Principle of Independent Causal Mechanisms. 79-110 - Alexander Shekhovtsov
Reintroducing Straight-Through Estimators as Principled Methods for Stochastic Binary Networks. 111-126 - Alexander Shekhovtsov
Bias-Variance Tradeoffs in Single-Sample Binary Gradient Estimators. 127-141 - Dimitri Korsch
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. 142-158 - Niklas Penzel
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. 159-173 - Huili Huang
ScaleNet: An Unsupervised Representation Learning Method for Limited Information. 174-188
Actions, Events, and Segmentation
- Shreyank N. Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach:
A New Split for Evaluating True Zero-Shot Action Recognition. 191-205 - Joakim Johnander
Video Instance Segmentation with Recurrent Graph Neural Networks. 206-221 - Andreas Robinson
Distractor-Aware Video Object Segmentation. 222-234 - Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata:
(SP)2Net for Generalized Zero-Label Semantic Segmentation. 235-249 - Christian Zimmermann, Max Argus, Thomas Brox:
Contrastive Representation Learning for Hand Shape Estimation. 250-264 - Michael Duhme, Raphael Memmesheimer
Fusion-GCN: Multimodal Action Recognition Using Graph Convolutional Networks. 265-281 - Yaser Souri, Yazan Abu Farha
FIFA: Fast Inference Approximation for Action Segmentation. 282-296 - Alexander Kugele
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision. 297-312 - Samim Zahoor Taray, Sunil Prasad Jaiswal, Shivam Sharma, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Ivo Ihrke:
A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting. 313-327 - Prashant Chaudhari, Franziska Schirrmacher, Andreas Maier, Christian Riess, Thomas Köhler:
Merging-ISP: Multi-exposure High Dynamic Range Image Signal Processing. 328-342 - Haebom Lee
Spatiotemporal Outdoor Lighting Aggregation on Image Sequences. 343-357
Generative Models and Multimodal Data
- Stanislav Frolov, Avneesh Sharma, Jörn Hees, Tushar Karayil, Federico Raue, Andreas Dengel:
AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and Style. 361-375 - Maxim Samarin, Vitali Nesterov, Mario Wieser, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth
Learning Conditional Invariance Through Cycle Consistency. 376-391 - Henning Schulze, Dogucan Yaman, Alexander Waibel:
CAGAN: Text-To-Image Generation with Combined Attention Generative Adversarial Networks. 392-404 - Jan-Martin O. Steitz
TxT: Crossmodal End-to-End Learning with Transformers. 405-420 - Franz Klein
Diverse Image Captioning with Grounded Style. 421-436
Labeling and Self-Supervised Learning
- Daniel Pototzky, Matthias Kirschner, Lars Schmidt-Thieme
Leveraging Group Annotations in Object Detection Using Graph-Based Pseudo-labeling. 439-452 - Daniel Gonzalez-Alvarado
Quantifying Uncertainty of Image Labelings Using Assignment Flows. 453-466 - Faisal Alamri
Implicit and Explicit Attention for Zero-Shot Learning. 467-483 - Daniel Pototzky, Azhar Sultan, Matthias Kirschner, Lars Schmidt-Thieme
Self-supervised Learning for Object Detection in Autonomous Driving. 484-497 - Dmitrij Sitenko, Bastian Boll, Christoph Schnörr:
Assignment Flows and Nonlocal PDEs on Graphs. 498-512
Applications
- Shiming Wang
Viewpoint-Tolerant Semantic Segmentation for Aerial Logistics. 515-529 - Arash Amini, Arul Selvam Periyasamy, Sven Behnke
T6D-Direct: Transformers for Multi-object 6D Pose Direct Regression. 530-544 - Laura Dörr
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases. 545-558 - Christian von Koch
Detecting Slag Formations with Deep Convolutional Neural Networks. 559-573 - Alireza Ahmadi
Virtual Temporal Samples for Recurrent Neural Networks: Applied to Semantic Segmentation in Agriculture. 574-588 - Matthias Körschens
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. 589-603 - Antoine Sanner
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? 604-617
3D Modeling and Reconstruction
- Philipp J. Schneider
Clustering Persistent Scatterer Points Based on a Hybrid Distance Metric. 621-632 - Michael Kölle
CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds. 633-648 - Rupak Bose
Zero-Shot Remote Sensing Image Super-Resolution Based on Image Continuity and Self Tessellations. 649-662 - Mariya Kaisheva
A Comparative Survey of Geometric Light Source Calibration Methods. 663-680 - Larissa T. Triess
Quantifying Point Cloud Realism Through Adversarially Learned Latent Representations. 681-696 - Moein Sorkhei
Full-Glow: Fully Conditional Glow for More Realistic Image Generation. 697-711 - Simon Weber, Nikolaus Demmel, Daniel Cremers
Multidirectional Conjugate Gradients for Scalable Bundle Adjustment. 712-724
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