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ORCID40th GCPR 2018: Stuttgart, Germany
- Thomas Brox, Andrés Bruhn, Mario Fritz:
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings. Lecture Notes in Computer Science 11269, Springer 2019, ISBN 978-3-030-12938-5
Poster Session 1
- Dominik Wolters
, Reinhard Koch:
Topology-Based 3D Reconstruction of Mid-Level Primitives in Man-Made Environments. 3-17 - Philip Häusser, Johannes Plapp, Vladimir Golkov, Elie Aljalbout, Daniel Cremers:
Associative Deep Clustering: Training a Classification Network with No Labels. 18-32 - Jonas Tebbe, Yapeng Gao, Marc Sastre-Rienietz, Andreas Zell:
A Table Tennis Robot System Using an Industrial KUKA Robot Arm. 33-45 - Gregor Blott, Jie Yu, Christian Heipke:
View-Aware Person Re-identification. 46-59 - Frank Neuhaus, Tilman Koß, Robert Kohnen, Dietrich Paulus:
MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation. 60-72 - Stefan Reinhold, Timo Damm, Lukas Huber, Reimer Andresen, Reinhard Barkmann, Claus C. Glüer, Reinhard Koch:
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT. 73-88 - Sascha Clausen, Claudius Zelenka, Tobias Schwede, Reinhard Koch:
Parcel Tracking by Detection in Large Camera Networks. 89-104 - Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. 105-114 - Nikolay Rudakov, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Heikki Haario:
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks. 115-126 - Fernando Bombardelli, Serhan Gül, Cornelius Hellge:
Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization. 127-139 - Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas Maier:
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. 140-152 - Jan-Martin O. Steitz, Faraz Saeedan, Stefan Roth:
Multi-view X-Ray R-CNN. 153-168 - Johann Sawatzky, Martin Garbade, Juergen Gall:
Ex Paucis Plura: Learning Affordance Segmentation from Very Few Examples. 169-184
Oral Session 1: Learning I
- Antonio D'Innocente, Barbara Caputo:
Domain Generalization with Domain-Specific Aggregation Modules. 187-198 - Oliver Blum, Biagio Brattoli, Björn Ommer:
X-GAN: Improving Generative Adversarial Networks with ConveX Combinations. 199-214 - Francesco Croce, Matthias Hein:
A Randomized Gradient-Free Attack on ReLU Networks. 215-227 - Nawid Sayed, Biagio Brattoli, Björn Ommer:
Cross and Learn: Cross-Modal Self-supervision. 228-243 - Rémy Sun, Christoph H. Lampert:
KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications. 244-259
Joint Oral Session 1
- Michael Strecke, Bastian Goldluecke:
Sublabel-Accurate Convex Relaxation with Total Generalized Variation Regularization. 263-277
Oral Session 2: Motion and Video I
- Laura Sevilla-Lara, Yiyi Liao, Fatma Güney, Varun Jampani, Andreas Geiger, Michael J. Black:
On the Integration of Optical Flow and Action Recognition. 281-297 - Ardhendu Behera, Alexander Keidel, Bappaditya Debnath:
Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers. 298-314 - Katrin Lasinger, Christoph Vogel, Thomas Pock, Konrad Schindler:
3D Fluid Flow Estimation with Integrated Particle Reconstruction. 315-332
Joint Oral Session 2
- Marc Habermann, Weipeng Xu, Helge Rhodin, Michael Zollhöfer, Gerard Pons-Moll, Christian Theobalt:
NRST: Non-rigid Surface Tracking from Monocular Video. 335-348
Oral Session 3: Applications
- Andrés C. Rodríguez, Jan D. Wegner:
Counting the Uncountable: Deep Semantic Density Estimation from Space. 351-362 - Patrick Follmann, Bertram Drost, Tobias Böttger:
Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products. 363-376 - Aytaç Kanaci, Xiatian Zhu, Shaogang Gong:
Vehicle Re-identification in Context. 377-390 - Simon-Martin Schröder, Rainer Kiko, Jean-Olivier Irisson, Reinhard Koch:
Low-Shot Learning of Plankton Categories. 391-404
Poster Session 2
- Max Mehltretter, Sebastian P. Kleinschmidt, Bernardo Wagner, Christian Heipke:
Multimodal Dense Stereo Matching. 407-421 - Sören Klemm, Xiaoyi Jiang, Benjamin Risse:
Deep Distance Transform to Segment Visually Indistinguishable Merged Objects. 422-433 - Aaron Scherzinger, Philipp Hugenroth, Marike Rüder, Sven Bogdan, Xiaoyi Jiang:
Multi-class Cell Segmentation Using CNNs with F _1 -measure Loss Function. 434-446 - Florian Piewak, Peter Pinggera, Markus Enzweiler, David Pfeiffer, Marius Zöllner:
Improved Semantic Stixels via Multimodal Sensor Fusion. 447-458 - Lei Kang, Juan Ignacio Toledo, Pau Riba, Mauricio Villegas, Alicia Fornés, Marçal Rusiñol:
Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition. 459-472 - Nikola Banic, Sven Loncaric:
Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification. 473-486 - Rory Smith, Tilo Burghardt:
DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph. 487-502 - Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier:
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. 503-517 - Naser Damer, Viola Boller, Yaza Wainakh, Fadi Boutros, Philipp Terhörst, Andreas Braun, Arjan Kuijper:
Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts. 518-534 - Dinesh Pothineni, Martin R. Oswald, Jan Poland, Marc Pollefeys:
KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting. 535-551 - Divyansh Aggarwal, Elchin Valiyev, Fadime Sener, Angela Yao:
Learning Style Compatibility for Furniture. 552-566 - Jonas Wulff, Michael J. Black:
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation. 567-582 - Tobias Geimer, Paul J. Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas Maier:
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. 583-594
Oral Session 4: Learning II
- Timo Hackel, Mikhail Usvyatsov, Silvano Galliani, Jan Dirk Wegner, Konrad Schindler:
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs. 597-611 - Thomas M. Hehn, Fred A. Hamprecht:
End-to-End Learning of Deterministic Decision Trees. 612-627 - Manuel Martínez, Rainer Stiefelhagen:
Taming the Cross Entropy Loss. 628-637 - Gianni Franchi, Angela Yao, Andreas Kolb:
Supervised Deep Kriging for Single-Image Super-Resolution. 638-649 - Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. 650-666
Oral Session 5: Optimization and Clustering
- Jón Arnar Tómasson, Peter Ochs, Joachim Weickert:
AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation. 669-681 - Sebastian Mathias Keller, Damian Murezzan, Volker Roth:
Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints. 682-697 - Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr:
Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. 698-713
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