Publications

MAIN: Multi-Attention Instance Network for video segmentation Paper

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J. León Alcázar, Maria A. Bravo, G. Jeanneret, A. Thabet, Thomas Brox, P. Arbeláez, B. Ghanem

Computer Vision and Image Understanding, 210: 103240, 2021

Fighting Class Imbalance with Contrastive Learning Paper

Yassine Marrakchi, Osama Makansi, Thomas Brox

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021

Temporal shift GAN for large scale video generation Paper

Munoz_Temporal_Shift_GAN_for_Large_Scale_Video_Generation_WACV_2021_paper.pdf

A. Munoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors Paper

Jan Bechtold, Maxim Tatarchenko, V. Fischer, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021

Improving robustness against common corruptions with frequency biased models Paper

Tonmoy Saikia, C. Schmid, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2021

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Paper

Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2021

CrossCLR: cross-modal contrastive learning for multi-modal video representations Paper

Mohammadreza Zolfaghari, Y. Zhu, P. Gehler, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2021

Semi-Supervised Disparity Estimation with Deep Feature Reconstruction Paper

paper-Semi_Supervised_Disparity_Estimation_with_Deep_Feature_Reconstruction.pdf

J. Guerrero-Viu, S. Izquierdo, Philipp Schröppel, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshops, Jun 2021

Essentials for Class Incremental Learning Paper

Sudhanshu Mittal, Silvio Galesso, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshops, Jun 2021

Towards improving robustness of compressed CNNs Paper

J. Hoffmann, S. Agnihotri, Tonmoy Saikia, Thomas Brox

ICML Workshop on Uncertainty and Robustness in Deep Learning (UDL), 2021

Multi-headed Neural Ensemble Search Paper

A. Narayanan, A. Zela, Tonmoy Saikia, Thomas Brox, F. Hutter

ICML Workshop on Uncertainty and Robustness in Deep Learning (UDL), 2021

Bag of Baselines for Multi-Objective Joint Neural Architecture Search and Hyperparameter Optimization Paper

Code/data

S. Izquierdo, J. Guerrero-Viu, S. Hauns, G. Miotto, Simon Schrodi, T. Elsken, D. Deng, M. Lindauer, F. Hutter

ICML Workshop on Automated Machine Learning (AutoML), 2021

Contrastive Representation Learning for Hand Shape Estimation Paper

Project

Christian Zimmermann, Max Argus, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2021

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

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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

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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