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2017

Conference
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
Local Convergence of the Heavy-ball Method and iPiano for Non-convex Optimization   Paperochs_iAM_arXiv2017.pdf
Peter Ochs
Technical Report , arXiv:1606.09070 [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
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
 
2016
Journal
A benchmark for comparison of dental radiography analysis algorithms   doi>
C. Wang, C. Huang, J. Lee, C. Li, S. Chang, M. Siao, T. Lai, B. Ibragimov, T. Vrtovec, Olaf Ronneberger, Philipp Fischer, T. Cootes, C. Lindner
Medical Image Analysis, 31: 63-76, Jul 2016
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
Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks   Paper2016_visceral_anatomy_challenge.pdf doi>
O. Jimenez-Del-Toro, H. Muller, M. Krenn, K. Gruenberg, A. Aziz Taha, M. Winterstein, I. Eggel, A. Foncubierta-Rodriguez, O. Goksel, A. Jakab, G. Kontokotsios, G. Langs, B. Menze, T. Salas Fernandez, R. Schaer, A. Walleyo, M. -Andre Weber, Y. Dicente Cid, T. Gass, M. Heinrich, F. Jia, F. Kahl, R. Kechichian, Dominic Mai, A. Spanier, G. Vincent, C. Wang, D. Wyeth, A. Hanbury
IEEE Transactions on Medical Imaging, Jun 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
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation   Paperpaper-MIFDB16.pdf doi> Code/data Project
Nikolaus Mayer, Eddy Ilg, P. Häusser, Philipp Fischer, D. Cremers, Alexey Dosovitskiy, Thomas Brox
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Inverting Visual Representations with Convolutional Networks   PaperInvert_AlexNet_final.pdf Code/data
Alexey Dosovitskiy, Thomas Brox
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Artistic style transfer for videos   Paperruder_gcpr16.pdf
M. Ruder, Alexey Dosovitskiy, Thomas Brox
German Conference on Pattern Recognition (GCPR), 2016
Pixel-level encoding and depth layering for instance-level semantic labeling   Paperuhrig_gcpr16.pdf
Jonas Uhrig, M. Cordts, U. Franke, Thomas Brox
German Conference on Pattern Recognition (GCPR), 2016
FSI schemes: Fast semi-iterative solvers for PDEs and Optimisation Methods   Paperhafner-gcpr16.pdf doi>
D. Hafner, Peter Ochs, J. Weickert, M. Reißel, S. Grewenig
German Conference on Pattern Recognition (GCPR), Springer, LNCS, Vol.9796: 91--102, 2016
Robust interactive multi-label segmentation with an advanced edge detector   Papermueller-gcpr2016.pdf doi>
S. Müller, Peter Ochs, J. Weickert, N. Graf
German Conference on Pattern Recognition (GCPR), Springer, LNCS, Vol.9796: 117--128, 2016
Multi-view 3D Models from Single Images with a Convolutional Network   Paperpaper-mv3d.pdf Code/data
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
European Conference on Computer Vision (ECCV), 2016
Point-wise mutual information-based video segmentation with high temporal consistency   doi>
Margret Keuper, Thomas Brox
ECCV 2016 workshops, Springer, 2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks   Code/data
Alexey Dosovitskiy, Thomas Brox
Advances in Neural Information Processing Systems (NIPS), 2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks  
A. Nguyen, Alexey Dosovitskiy, J. Yosinski, Thomas Brox, J. Clune
Advances in Neural Information Processing Systems (NIPS), 2016
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images   Paperp5.pdf
V. Golkov, M. Skwark, A. Golkov, Alexey Dosovitskiy, Thomas Brox, J. Meiler, D. Cremers
Advances in Neural Information Processing Systems (NIPS), 2016

Others
From voxels to models: towards quantification in 3-D confocal microscopy   PaperDissertation_ThorstenFalk_2016.pdf doi>
Thorsten Falk
PhD thesis from Albert-Ludwigs-Universität Freiburg, 2016
RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling   doi>
Y. He, W. Chiu, Margret Keuper, M. Fritz
Technical Report , arXiv:1604.02388, 2016
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects   doi>
Margret Keuper, S. Tang, Y. Zhongjie, B. Andres, Thomas Brox, B. Schiele
Technical Report , arXiv:1607.06317, 2016
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation   Paper1608.03066v1.pdf
Benjamin Drayer, Thomas Brox
Technical Report , arxiv:1608.03066, 2016
Unifying abstract inexact convergence theorems for descent methods and block coordinate variable metric iPiano   Paperochs_abstr_conv_arXiv2016.pdf
Peter Ochs
Technical Report , arXiv:1602.07283 [math.OC], 2016

Display the complete list (371 publications)
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