Publications

Real-world navigation in amnestic mild cognitive impairment - The relation to visuospatial memory and volume of hippocampal subregions doi>

J. Peter, R. Sandkamp, L. Minkova, L. Schumacher, C. Kaller, Ahmed Abdulkadir, S. Kloeppel

Neuropsychologia, 109: 86--94, 2017

A new fate mapping system reveals context-dependent random or clonal expansion of microglia doi>

T. Leng Tay, Dominic Mai, J. Dautzenberg, F. Fernández-Klett, G. Lin, S. , M. Datta, A. Drougard, T. Stempfl, A. Ardura-Fabregat, O. Staszewski, A. Margineanu, A. Sporbert, L. M Steinmetz, J. Andrew Pospisilik, S. Jung, J. Priller, D. Grün, Olaf Ronneberger, M. Prinz

Nature Neuroscience, 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

Effective Image Differencing with Convolutional Neural Networks for Real-time Transient Hunting Paper

doi>

Nima Sedaghat, A. Mahabal

Monthly Notices of the Royal Astronomical Society, 2017

Gland segmentation in colon histology images: The glas challenge contest doi>

K. Sirinukunwattana, J. Pluim, H. Chen, X. Qi, P. Heng, Y. Guo, L. Wang, B. Matuszewski, E. Bruni, U. Sanchez, Anton Böhm, Olaf Ronneberger, B. Cheikh, D. Racoceanu, P. Kainz, M. Pfeiffer, M. Urschler, D. Snead, N. Rajpoot

Medical Image Analysis, 35: 489-502, 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 Paper

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 Paper

doi>

Alexey Dosovitskiy, J. Springenberg, Maxim Tatarchenko, Thomas Brox

IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4): 692-705, Apr 2017

Anodal tDCS Enhances Verbal Episodic Memory in Initially Low Performers doi>

A. Habich, S. Kloeppel, Ahmed Abdulkadir, E. Scheller, C. Nissen, J. Peter

Frontiers in Human Neuroscience, 11(542): 542, 2017

Topometric Localization with Deep Learning Paper

Gabriel Leivas Oliveira, N. Radwan, W. Burgard, Thomas Brox

International Symposium on Robotics Research (ISRR), 2017

Semantics-aware Visual Localization under Challenging Perceptual Conditions Paper

T. Naseer, Gabriel Leivas Oliveira, Thomas Brox, W. Burgard

IEEE International Conference on Robotics and Automation (ICRA), IEEE , 2017

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data Driven Pooling

Y. He, W. Chiu, Margret Keuper, M. Fritz

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017

Learning to Estimate 3D Hand Pose from Single RGB Images Paper

Project

Christian Zimmermann, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2017

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs Paper

Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2017

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection Paper

Project

Mohammadreza Zolfaghari, Gabriel Leivas Oliveira, Nima Sedaghat, 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

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

Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications Paper

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 Paper

doi>

Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, 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

Osama Makansi, Eddy Ilg, Thomas Brox

German Conference on Pattern Recognition (GCPR) 2017, 2017

Orientation-boosted voxel nets for 3D object recognition Paper

Nima Sedaghat, Mohammadreza Zolfaghari, E. Amiri, Thomas Brox

British Machine Vision Conference (BMVC), 2017

Local Convergence of the Heavy-ball Method and iPiano for Non-convex Optimization Paper

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 Paper

Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox

Technical Report , arXiv:1612.03777, 2017

Non-smooth Non-convex Bregman Minimization: Unification and new Algorithms Paper

Peter Ochs, J. Fadili, Thomas Brox

Technical Report , arXiv:1707.02278 [math.OC], 2017

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

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 Paper

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 Paper

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 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