Publications

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 Paper

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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 Paper

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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 Paper

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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 Paper

V. Golkov, Alexey Dosovitskiy, J. Sperl, M. Menzel, M. Czisch, P. Sämann, Thomas Brox, D. Cremers

IEEE Transactions on Medical Imaging, 35(5), 2016

Robust Semantic Segmentation using Deep Fusion Paper

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 Paper

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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 Paper

A. Valada, Gabriel Leivas Oliveira, Thomas Brox, W. Burgard

International Symposium on Experimental Robotics (ISER 2016), 2016

Efficient Deep Models for Monocular Road Segmentation. Paper

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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 Paper

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 Paper

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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 Paper

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Alexey Dosovitskiy, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Artistic style transfer for videos Paper

M. Ruder, Alexey Dosovitskiy, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2016

Pixel-level encoding and depth layering for instance-level semantic labeling Paper

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 Paper

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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 Paper

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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 Paper

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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 Paper

V. Golkov, M. Skwark, A. Golkov, Alexey Dosovitskiy, Thomas Brox, J. Meiler, D. Cremers

Advances in Neural Information Processing Systems (NIPS), 2016

From voxels to models: towards quantification in 3-D confocal microscopy Paper

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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 Paper

Benjamin Drayer, Thomas Brox

Technical Report , arxiv:1608.03066, 2016

Unifying abstract inexact convergence theorems for descent methods and block coordinate variable metric iPiano Paper

Peter Ochs

Technical Report , arXiv:1602.07283 [math.OC], 2016

Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction doi>

Margret Keuper, Thomas Brox

Springer: 155--168, 2016

On iteratively reweighted algorithms for non-smooth non-convex optimization in computer vision Paper

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Peter Ochs, Alexey Dosovitskiy, Thomas Brox, T. Pock

SIAM Journal on Imaging Sciences, 8(1): 331-372, 2015

B cell antigen receptors of class IgM and IgD are clustered in different protein islands that are altered during B cell activation doi>

P. Maity, A. Blount, H. Jumaa, Olaf Ronneberger, B. Lillemeier, M. Reth

Science Signalling, 8(394): ra93, 2015

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimers disease doi>

D. Schmitter, A. Roche, B. Marechal, D. Ribes, Ahmed Abdulkadir, M. Bach-Cuadra, A. Daducci, C. Granziera, S. Kloeppel, P. Maeder, R. Meuli, G. Krueger

NeuroImage Clinical, 7: 7--17, 2015