Publications

Explicitly modeled attention maps for image classification Paper

A. Tan, Tam Nguyen, M. Dax, M. Nießner, Thomas Brox

AAAI Conference on Artificial Intelligence, 2021

DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks Paper

doi> Project

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

International Journal of Computer Vision, 128: 756-769, 2020

Motion segmentation and multiple object tracking by correlation co-clustering Paper

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Margret Keuper, S. Tang, B. Andres, Thomas Brox, B. Schiele

IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1): 140-153, Jan 2020

Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins Paper

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Özgün Çiçek, Yassine Marrakchi, E. Antwi, B. DiVentura, Thomas Brox

MICCAI Workshop on Medical Image Learning with Less Labels and Imperfect Data, Springer, Vol.12446, 2020

Understanding and robustifying differentiable architecture search Paper

A. Zela, T. Elsken, Tonmoy Saikia, Yassine Marrakchi, Thomas Brox, F. Hutter

International Conference on Learning Representations (ICLR), 2020

SELF: learning to filter noisy labels with self-ensembling Paper

Tam Nguyen, C. Mummadi, T. Ngo, Tam Nguyen, L. Beggel, Thomas Brox

International Conference on Learning Representations (ICLR), 2020

FlowControl: Optical Flow Based Visual Servoing Paper

Max Argus, L. Hermann, J. Long, Thomas Brox

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

DiskMask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects Paper

paper-ISBI20_DiskMask_finalSubmission_IEEE_CR.pdf

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Anton Böhm, Nikolaus Mayer, Thomas Brox

IEEE International Symposium on Biomedical Imaging (ISBI), 2020

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control Paper

L. Hermann, Max Argus, A. Eitel, Artemij Amiranashvili, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), 2020

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View with a Reachability Prior Paper

Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR): 4354-4363, 2020

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Paper

Code/data

Simon Ging, Mohammadreza Zolfaghari, H. Pirsiavash, Thomas Brox

Advances in Neural Information Processing Systems (NeurIPS), Curran Associates, Inc., Vol.33: 22605--22618, 2020

Synthetic Training Data for Deep Neural Networks on Visual Correspondence Tasks Paper

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Nikolaus Mayer

PhD thesis from Albert-Ludwigs-Universität Freiburg, 2020

Single-cell profiling identifies myeloid cell subsets with distinct fates during neuroinflammation doi>

M. Jordão, R. Sankowski, S. Brendecke, S. Sagar, G. Locatelli, Y. Tai, T. Tay, E. Schramm, S. Armbruster, N. Hagemeyer, O. Groß, Dominic Mai, Özgün Çiçek, Thorsten Falk, M. Kerschensteiner, D. Grün, M. Prinz

Science, 363(6425): eaat7554, Jan 2019

U-Net – Deep Learning for Cell Counting, Detection, and Morphometry Paper

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, 2019

Non-smooth non-convex Bregman minimization: unification and new algorithms Paper

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Peter Ochs, J. Fadili, Thomas Brox

Journal of Optimization Theory and Applications, 2019

Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics Paper

O. Mees, Maxim Tatarchenko, Thomas Brox, W. Burgard

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision Paper

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D. Kaljaca, Nikolaus Mayer, B. Vroegindeweij, A. Mencarelli, E. van Henten, Thomas Brox

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE: 5542--5549, Nov 2019

ISOO_DL^V2 - Semantic Instance Segmentation of Touching and Overlapping Objects Paper

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Anton Böhm, Maxim Tatarchenko, Thorsten Falk

IEEE International Symposium on Biomedical Imaging (ISBI), 2019

Anomaly Detection With Multiple-Hypotheses Predictions Paper

Tam Nguyen, Z. Lou, M. Klar, Thomas Brox

IEEE International Conference on Machine Learning (ICML), 2019

What Do Single-view 3D Reconstruction Networks Learn? Paper

Maxim Tatarchenko, S. Richter, R. Ranftl, Z. Li, V. Koltun, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth Paper

J. Facil, Benjamin Ummenhofer, Huizhong Zhou, L. Montesano, Thomas Brox, J. Civera

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction Paper

Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Defending against universal perturbations with shared adversarial training Paper

C. Mummadi, Thomas Brox, J. Metzen

IEEE International Conference on Computer Vision (ICCV), 2019

FreiHAND: Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images Paper

Project

Christian Zimmermann, D. Ceylan, J. Yang, B. Russell, Max Argus, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2019

AutoDispNet: Improving Disparity Estimation With AutoML Paper

Tonmoy Saikia, Yassine Marrakchi, A. Zela, F. Hutter, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2019

Group pruning using a bounded lp norm for group gating and regularization Paper

C. Mummadi, T. Genewein, D. Zhang, Thomas Brox, V. Fischer

German Conference on Pattern Recognition (GCPR), Springer, LNCS, 2019

DeepUSPS: deep robust unsupervised saliency prediction via self-supervision Paper

Tam Nguyen, M. Dax, C. Mummadi, N. Ngo, Tam Nguyen, Z. Lou, Thomas Brox

Advances in Neural Information Processing Systems (NeurIPS), 2019

Parting with Illusions about Deep Active Learning Paper

Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox

Technical Report 1912.05361, arXiv(1912.05361), 2019

Cross-sectional and longitudinal voxel-based grey matter asymmetries in Huntingtons disease doi>

L. Minkova, S. Gregory, R. Scahill, Ahmed Abdulkadir, C. Kaller, J. Peter, J. Long, J. Stout, R. Reilmann, R. Roos, A. Durr, B. Leavit, S. Tabrizi, S. Kloeppel

NeuroImage Clinical, 17: 312--324, 2018

Clinically applicable deep learning for diagnosis and referral in retinal disease Paper

paper-De_Fauw_et_al_2018_Nature_Medicine.pdf

doi> Code/data

J. De Fauw, J. Ledsam, B. Romera-Paredes, S. Nikolov, N. Tomasev, S. Blackwell, H. Askham, X. Glorot, B. O’Donoghue, D. Visentin, G. van den Driessche, B. Lakshminarayanan, C. Meyer, F. Mackinder, S. Bouton, K. Ayoub, R. Chopra, D. King, A. Karthikesalingam, C. Hughes, R. Raine, J. Hughes, D. Sim, C. Egan, A. Tufail, H. Montgomery, D. Hassabis, G. Rees, T. Back, P. Khaw, M. Suleyman, J. Cornebise, P. Keane, Olaf Ronneberger

Nature Medicine, 24(9): 1342--1350, 2018