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ORCID41st GCPR 2019: Dortmund, Germany
- Gernot A. Fink, Simone Frintrop, Xiaoyi Jiang:
Pattern Recognition - 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11824, Springer 2019, ISBN 978-3-030-33675-2
Oral Session I: Image Processing and Analysis
- Patrick Knöbelreiter
, Thomas Pock:
Learned Collaborative Stereo Refinement. 3-17 - Andreas Kuhn, Shan Lin, Oliver Erdler:
Plane Completion and Filtering for Multi-View Stereo Reconstruction. 18-32 - Petra Bevandic, Ivan Kreso, Marin Orsic, Sinisa Segvic:
Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift. 33-47 - Cathrin Elich, Francis Engelmann, Theodora Kontogianni, Bastian Leibe:
3D Bird's-Eye-View Instance Segmentation. 48-61 - Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. 62-75
Oral Session II: Imaging Techniques, Image Analysis
- Mengkun She, Yifan Song, Jochen Mohrmann, Kevin Köser:
Adjustment and Calibration of Dome Port Camera Systems for Underwater Vision. 79-92 - Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller:
Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction. 93-106 - Pau Panareda Busto, Juergen Gall:
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data. 107-121 - Denys Rozumnyi, Jan Kotera, Filip Sroubek, Jiri Matas:
Non-causal Tracking by Deblatting. 122-135
Oral Session III: Learning
- Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer:
Group Pruning Using a Bounded-ℓp Norm for Group Gating and Regularization. 139-155 - Thomas Pinetz, Daniel Soukup, Thomas Pock:
On the Estimation of the Wasserstein Distance in Generative Models. 156-170 - Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth:
Deep Archetypal Analysis. 171-185
Oral Session IV: Image Analysis, Applications
- Josip Saric, Marin Orsic, Tonci Antunovic, Sacha Vrazic, Sinisa Segvic:
Single Level Feature-to-Feature Forecasting with Deformable Convolutions. 189-202 - Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. 203-217 - Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura:
Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks. 218-231 - Viktor Wegmayr, Giacomo Giuliari, Joachim M. Buhmann:
Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography. 232-244
Posters
- Viktor Wegmayr, Maurice Hörold, Joachim M. Buhmann:
Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression. 247-260 - Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection. 261-273 - Radim Spetlík, Ivan Razumenic:
Iris Verification with Convolutional Neural Network and Unit-Circle Layer. 274-287 - Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. 288-302 - Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper:
Object Segmentation Using Pixel-Wise Adversarial Loss. 303-316 - Jonás Serých, Jiri Matas:
Visual Coin-Tracking: Tracking of Planar Double-Sided Objects. 317-330 - Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn:
Exploiting Attention for Visual Relationship Detection. 331-344 - Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth:
Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice. 345-359 - Jan Laermann, Wojciech Samek, Nils Strodthoff:
Achieving Generalizable Robustness of Deep Neural Networks by Stability Training. 360-373 - Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch:
2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy. 374-386 - Stefan Milz, Martin Simon, Kai Fischer, Maximilian Pöpperl, Horst-Michael Gross:
Points2Pix: 3D Point-Cloud to Image Translation Using Conditional GANs. 387-400 - Puneet Gupta, Esa Rahtu:
MLAttack: Fooling Semantic Segmentation Networks by Multi-layer Attacks. 401-413 - Clemens-Alexander Brust, Joachim Denzler:
Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity. 414-427 - Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen:
DynGraph: Visual Question Answering via Dynamic Scene Graphs. 428-441 - The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe:
Training Invertible Neural Networks as Autoencoders. 442-455 - Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer:
Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation. 456-470 - Michael Kissner, Helmut Mayer:
A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-learning. 471-484 - Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri:
Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning. 485-498 - Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha:
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. 499-512 - Enes Aslan, Yusuf Sinan Akgul:
Tongue Contour Tracking in Ultrasound Images with Spatiotemporal LSTM Networks. 513-521 - Soumajit Majumder, Angela Yao:
Localized Interactive Instance Segmentation. 522-536 - Julian Tanke, Juergen Gall:
Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views. 537-550 - Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe:
Visual Person Understanding Through Multi-task and Multi-dataset Learning. 551-566 - Pawel Trajdos, Marek Kurzynski:
Dynamic Classifier Chains for Multi-label Learning. 567-580 - Xiaojuan Wang, Martin R. Oswald, Ian Cherabier, Marc Pollefeys:
Learning 3D Semantic Reconstruction on Octrees. 581-594 - Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler:
Learning to Disentangle Latent Physical Factors for Video Prediction. 595-608 - David T. Hoffmann, Dimitrios Tzionas, Michael J. Black, Siyu Tang:
Learning to Train with Synthetic Humans. 609-623
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