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Brox's with Publications

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Display the complete list (163 publications)
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2019
Journal
U-Net – Deep Learning for Cell Counting, Detection, and Morphometry   Paperpaper-U-Net.pdf doi> Project
Thorsten Falk, Dominic Mai, Robert Bensch, Özgün Çiçek, Ahmed Abdulkadir, Yassine Marrakchi, Anton Böhm, J. Deubner, Z. Jäckel, K. Seiwald, A. Dovzhenko, O. Tietz, C. Dal Bosco, S. Walsh, D. Saltukoglu, T. Tay, M. Prinz, K. Palme, M. Simons, I. Diester, Thomas Brox, Olaf Ronneberger
Nature Methods, 16: 67--70, Jan 2019
Non-smooth non-convex Bregman minimization: unification and new algorithms   PaperAbstrBregMin.pdf doi>
Peter Ochs, J. Fadili, Thomas Brox
Journal of Optimization Theory and Applications, 2019
Motion segmentation and multiple object tracking by correlation co-clustering   doi>
Margret Keuper, S. Tang, B. Andres, Thomas Brox, B. Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

Conference
What Do Single-view 3D Reconstruction Networks Learn?   Paperpaper.pdf
Maxim Tatarchenko, S. Richter, R. Ranftl, Z. Li, V. Koltun, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019
 
2018
Journal
Artistic style transfer for videos and spherical images   Paperruder_ijcv18.pdf doi>
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
International Journal of Computer Vision, 126(11): 1199-1219, Nov 2018
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?   Paperpaper-1801.06397.pdf doi> Project
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, C. Hazirbas, D. Cremers, Alexey Dosovitskiy, Thomas Brox
International Journal of Computer Vision, 126(9): 942--960, Sep 2018

Conference
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning   Paperpaper-tdornottd.pdf Project
Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox
International Conference on Learning Representations (ICLR), 2018
DPDB-Net: Exploiting Dense Connections for Convolutional Encoders   Paperpaper-Oliveira18icra.pdf
Gabriel Leivas Oliveira, W. Burgard, Thomas Brox
IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018
3D Human Pose Estimation in RGBD Images for Robotic Task Learning   Paperpaper-Rgb-Pose3D-Task-Learning.pdf Project
Christian Zimmermann, T. Welschehold, C. Dornhege, W. Burgard, Thomas Brox
IEEE International Conference on Robotics and Automation (ICRA), 2018
Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes   Paperpaper-box2pix.pdf
Jonas Uhrig, E. Rehder, B. Fröhlich, U. Franke, Thomas Brox
IEEE Intelligent Vehicles Symposium (IV), 2018
DeepTAM: Deep Tracking and Mapping   Paperpaper-deeptam.pdf
Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox
European Conference on Computer Vision (ECCV), 2018
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation   Paperpaper-FlowDispOccBoundary.pdf
Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox
European Conference on Computer Vision (ECCV), 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow   Paperpaper-Uncertainty-FlowNetH.pdf
Eddy Ilg, Özgün Çiçek, S. Galesso, Aaron Klein, Osama Makansi, F. Hutter, Thomas Brox
European Conference on Computer Vision (ECCV), 2018
ECO: Efficient Convolutional Network for Online Video Understanding   Paperpaper-ECO_eccv2018.pdf Code/data Project
Mohammadreza Zolfaghari, K. Singh, Thomas Brox
European Conference on Computer Vision (ECCV), 2018
Motion Perception in Reinforcement Learning with Dynamic Objects   Paperpaper-flowrl.pdf Project
Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox
Conference on Robot Learning (CoRL), 2018

Others
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images   Paperpaper-AugmentedFlowNet.pdf doi>
Osama Makansi, Eddy Ilg, Thomas Brox
Technical Report , arXiv:1808.06389, 2018
 
2017
Journal
Efficient and Robust Deep Networks for Semantic Segmentation   Paperoliveira17ijrr.pdf doi> Code/data
Gabriel Leivas Oliveira, C. Bollen, W. Burgard, Thomas Brox
The International Journal of Robotics Research (IJRR), 2017
An objective comparison of cell-tracking algorithms   doi>
V. Ulman, M. Maška, K. Magnusson, Olaf Ronneberger, C. Haubold, N. Harder, P. Matula, P. Matula, D. Svoboda, M. Radojevic, I. Smal, K. Rohr, J. Jaldén, H. Blau, O. Dzyubachyk, B. Lelieveldt, P. Xiao, Y. Li, S. Cho, A. Dufour, J. Olivo-Marin, C. Reyes-Aldasoro, J. Solis-Lemus, Robert Bensch, Thomas Brox, J. Stegmaier, R. Mikut, S. Wolf, F. Hamprecht, T. Esteves, P. Quelhas, Ö. Demirel, L. Malmström, F. Jug, P. Tomancák, E. Meijering, A. Muñoz-Barrutia, M. Kozubek, C. Ortiz-de-Solor
Nature Methods, 14: 1141-1152, 2017
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection   doi> Code/data
Robert Bensch, N. Scherf, J. Huisken, Thomas Brox, Olaf Ronneberger
International Journal of Computer Vision, 122(3): 502--523, May 2017
Global, Dense Multiscale Reconstruction for a Billion Points   Paperummenhofer2017Global.pdf doi> Project
Benjamin Ummenhofer, Thomas Brox
International Journal of Computer Vision, 125(1-3): 82-94, 2017
Learning to Generate Chairs, Tables and Cars with Convolutional Networks   PaperChairs_PAMI.pdf doi>
Alexey Dosovitskiy, J. Springenberg, Maxim Tatarchenko, Thomas Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4): 692-705, Apr 2017

Conference
Topometric Localization with Deep Learning   PaperOliveira17isrr.pdf
Gabriel Leivas Oliveira, N. Radwan, W. Burgard, Thomas Brox
International Symposium on Robotics Research (ISRR), 2017
Semantics-aware Visual Localization under Challenging Perceptual Conditions   Papernaseer17icra.pdf
T. Naseer, Gabriel Leivas Oliveira, Thomas Brox, W. Burgard
IEEE International Conference on Robotics and Automation (ICRA), IEEE , 2017
Learning to Estimate 3D Hand Pose from Single RGB Images   Paperpaper-HandPose-from-SingleImages.pdf Project
Christian Zimmermann, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2017
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection   Paperaction_chain.pdf Project
Mohammadreza Zolfaghari, Gabriel Leivas Oliveira, Nima Sedaghat, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2017
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs   Paperpaper-ogn.pdf
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
IEEE International Conference on Computer Vision (ICCV), 2017
Sparsity Invariant CNNs  
Jonas Uhrig, N. Schneider, L. Schneider, U. Franke, Thomas Brox, A. Geiger
IEEE International Conference on 3D Vision (3DV), 2017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications   Papergraph_decomposition.pdf
E. Levinkov, Jonas Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, Thomas Brox, B. Schiele, B. Andres
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks   Paperpaper-FlowNet_2_0__CVPR_old_version.pdf doi>
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
DeMoN: Depth and Motion Network for Learning Monocular Stereo   doi> Project
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Display the complete list (163 publications)
1   2   3   4   5   6     »