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Brox's with Publications

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Display the complete list (151 publications)
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2018
Journal
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, 2018

Conference
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
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

Others
Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks   Paperpaper-1802.07095.pdf
Eddy Ilg, Özgün Çiçek, S. Galesso, A. Klein, O. Makansi, F. Hutter, Thomas Brox
Technical Report , arxiv.org: 1802.07095 [cs.CV], 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
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
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
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.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
End-to-End Learning of Video Super-Resolution with Motion Compensation  
O. Makansi, Eddy Ilg, Thomas Brox
German Conference on Pattern Recognition (GCPR) 2017, 2017
Orientation-boosted voxel nets for 3D object recognition   PaperORION_bmvc.pdf
Nima Sedaghat, Mohammadreza Zolfaghari, E. Amiri, Thomas Brox
British Machine Vision Conference (BMVC), 2017

Others
Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms   PaperAbstrBregMin.pdf
Peter Ochs, J. Fadili, Thomas Brox
Technical Report , arXiv:1707.02278 [math.OC], 2017
Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild   Paperpaper-1612.03777.pdf
Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox
Technical Report , arXiv:1612.03777, 2017
 
2016
Journal
Techniques for gradient based bilevel optimization with nonsmooth lower level problems   Paper1602.07080v1.pdf doi>
Peter Ochs, R. Ranftl, Thomas Brox, T. Pock
Journal of Mathematical Imaging and Vision, 56(2): 175-194, Oct 2016
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks   PaperExemplarCNN_PAMI_final.pdf doi>
Alexey Dosovitskiy, Philipp Fischer, J. Springenberg, M. Riedmiller, Thomas Brox
IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(9): 1734-1747, Oct 2016
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans   PaperManuscript55_main.pdf
V. Golkov, Alexey Dosovitskiy, J. Sperl, M. Menzel, M. Czisch, P. Sämann, Thomas Brox, D. Cremers
IEEE Transactions on Medical Imaging, 35(5), 2016

Conference
Robust Semantic Segmentation using Deep Fusion   Papervalada16rssws.pdf
A. Valada, Gabriel Leivas Oliveira, Thomas Brox, W. Burgard
Robotics: Science and Systems (RSS 2016) Workshop, Are the Sceptics Right? Limits and Potentials of Deep Learning in Robotics, 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation   Papercicek16miccai.pdf doi> Code/data
Özgün Çiçek, Ahmed Abdulkadir, S. Lienkamp, Thomas Brox, Olaf Ronneberger
Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, LNCS, Vol.9901: 424--432, Oct 2016
Deep Multispectral Semantic Scene Understanding of Forested Environments using Multimodal Fusion   Papervalada16iser.pdf
A. Valada, Gabriel Leivas Oliveira, Thomas Brox, W. Burgard
International Symposium on Experimental Robotics (ISER 2016), 2016
Efficient Deep Models for Monocular Road Segmentation.   Paperoliveira16iros.pdf Code/data
Gabriel Leivas Oliveira, W. Burgard, Thomas Brox
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016
Deep Learning for Human Part Discovery in Images   Paperoliveira16icra.pdf
Gabriel Leivas Oliveira, A. Valada, C. Bollen, W. Burgard, Thomas Brox
IEEE International Conference on Robotics and Automation (ICRA), 2016

Display the complete list (151 publications)
1   2   3   4   5   6     »