Publications of Thomas Brox

Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems Paper

doi> Code/data

David T. Hoffmann, Simon Schrodi, Jelena Bratulić, N. Behrmann, V. Fischer, Thomas Brox

International Conference on Machine Learning (ICML), 2024

CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Paper

A. Bhatt, D. Palenicek, B. Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, J. Peters

International Conference on Learning Representations (ICLR), 2024

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy Paper

Code/data

Simon Ging, Maria A. Bravo, Thomas Brox

International Conference on Learning Representations (ICLR), May 2024

Compositional Servoing by Recombining Demonstrations

Max Argus, A. Nayak, M. Büchner, Silvio Galesso, A. Valada, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), 2024

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation Paper

Code/data

Philipp Schröppel, C. Wewer, J. Lenssen, E. Ilg, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2024

Latent Diffusion Counterfactual Explanations doi> Code/data

Simon Schrodi, Karim Farid, Max Argus, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2024

Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond Paper

Silvio Galesso, Philipp Schröppel, H. Driss, Thomas Brox

European Conference on Computer Vision (ECCV), 2024

Modelling long-term thermal comfort conditions in urban environments using a deep convolutional encoder-decoder as a computational shortcut doi>

F. Briegel, Osama Makansi, A. Matzarakis, Thomas Brox, A. Christen

Urban Climate, 47, Jan 2023

Unsupervised semantic segmentation with self-supervised object-centric representations Paper

3900_unsupervised_semantic_segmentation.pdf

A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, Thomas Brox

International Conference on Learning Representations (ICLR), 2023

Bridging the gap to real-world object-centric learning Paper

M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C. Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, Thomas Brox, F. Locatello

International Conference on Learning Representations (ICLR), 2023

Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection Paper

Silvio Galesso, Max Argus, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), Workshops, 2023

Open-vocabulary Attribute Detection Paper

Code/data

Maria A. Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2023

Best Practices in Active Learning for Semantic Segmentation Paper

Sudhanshu Mittal, J. Niemeijer, J. Schäfer, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2023

Climate-sensitive Urban Planning through Optimization of Tree Placements Paper

Code/data

Simon Schrodi, F. Briegel, Max Argus, A. Christen, Thomas Brox

Advances in Neural Information Processing Systems (NeurIPS) Workshop, 2023

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars Paper

Code/data

Simon Schrodi, D. Stoll, B. Ru, R. Sukthanker, Thomas Brox, F. Hutter

Advances in Neural Information Processing Systems (NeurIPS), 2023

3D pose estimation enables virtual head fixation in freely moving rats Paper

doi>

A. Schneider, Christian Zimmermann, M. Alyahyay, F. Steenbergen, Thomas Brox, I. Diester

Neuron, 110(13): 2080-2093, Jul 2022

Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding Paper

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Svenja Melbaum, E. Russo, D. Eriksson, A. Schneider, D. Durstewitz, Thomas Brox, I. Diester

Nature Communications, 2022

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Paper

paper-explainable-trajectory-prediction-iclr.pdf

Osama Makansi, J. von Kügelgen, F. Locatello, P. Gehler, D. Janzing, Thomas Brox, B. Schölkopf

International Conference on Learning Representations (ICLR), 2022

Conditional Visual Servoing for Multi-Step Tasks Paper

S. Izquierdo, Max Argus, Thomas Brox

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

A Benchmark and a Baseline for Robust Multi-view Depth Estimation Paper

paper-a_benchmark_and_a_baseline_for_robust_depth_estimation.pdf

Code/data

Philipp Schröppel, Jan Bechtold, Artemij Amiranashvili, Thomas Brox

IEEE International Conference on 3D Vision (3DV), Sep 2022

Towards Understanding Adversarial Robustness of Optical Flow Networks Paper

Code/data

Simon Schrodi, Tonmoy Saikia, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

SF2SE3: Clustering Scene Flow into SE (3)-Motions via Proposal and Selection Paper

paper-sf2se3_clustering_scene_flow_into_se3_motions.pdf

Code/data

L. Sommer, Philipp Schröppel, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2022

Localized Vision-Language Matching for Open-vocabulary Object Detection Paper

paper-open-vocabulary-detection-gcpr.pdf

Code/data

Maria A. Bravo, Sudhanshu Mittal, Thomas Brox

German Conference on Pattern Recognition (GCPR), 2022

Probing Contextual Diversity for Dense Out-of-Distribution Detection Paper

Silvio Galesso, Maria A. Bravo, M. Naouar, Thomas Brox

European Conference on Computer Vision (ECCV) Workshops, 2022

Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives Paper

Code/data

David T. Hoffmann, N. Behrmann, J. Gall, Thomas Brox, M. Noroozi

AAAI Conference on Artificial Intelligence, 2022

Semi-Supervised Semantic Segmentation with High- and Low-level Consistency Paper

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Sudhanshu Mittal, Maxim Tatarchenko, Thomas Brox

IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(4): 1369-1379, 2021

Deep learning is widely applicable to phenotyping embryonic development and disease doi>

T. Naert, Ö. Cicek, P. Ogar, M. Buergi, N. Shaidani, M. Kaminski, Y. Xu, K. Grand, M. Vujanovic, D. Prata, F. Hildebrandt, Thomas Brox, Olaf Ronneberger, F. Voigt, F. Helmchen, J. Loffing, M. Horb, H. Willsey, S. Lienkamp

Development, 148(21), 2021

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

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

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

Improving robustness against common corruptions with frequency biased models Paper

Tonmoy Saikia, C. Schmid, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 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

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

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

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

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

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

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

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

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

doi>

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

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

Anomaly Detection With Multiple-Hypotheses Predictions Paper

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

IEEE International Conference on Machine Learning (ICML), 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

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

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

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

Defending against universal perturbations with shared adversarial training Paper

C. Mummadi, Thomas Brox, J. Metzen

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

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Paper

doi> Project

Nikolaus Mayer, Eddy Ilg, Philipp Fischer, C. Hazirbas, D. Cremers, Alexey Dosovitskiy, Thomas Brox

International Journal of Computer Vision, 126(9): 942-960, 2018

Artistic style transfer for videos and spherical images Paper

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Manuel Ruder, Alexey Dosovitskiy, Thomas Brox

International Journal of Computer Vision, 126(11): 1199-1219, Nov 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning Paper

Project

Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox

International Conference on Learning Representations (ICLR), 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders Paper

Gabriel Leivas Oliveira, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2018

3D Human Pose Estimation in RGBD Images for Robotic Task Learning Paper

Project

Christian Zimmermann, T. Welschehold, C. Dornhege, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), 2018

Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes Paper

Jonas Uhrig, E. Rehder, B. Fröhlich, U. Franke, Thomas Brox

IEEE Intelligent Vehicles Symposium (IV), 2018

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures Paper

D. Tananaev, Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

European Conference on Computer Vision (ECCV) Workshops, 2018

ECO: Efficient Convolutional Network for Online Video Understanding Paper

Code/data

Project

Mohammadreza Zolfaghari, K. Singh, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

DeepTAM: Deep Tracking and Mapping Paper

Project

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation Paper

Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow Paper

Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, F. Hutter, Thomas Brox

European Conference on Computer Vision (ECCV), 2018

Motion Perception in Reinforcement Learning with Dynamic Objects Paper

Project

Artemij Amiranashvili, A. Dosovitskiy, V. Koltun, Thomas Brox

Conference on Robot Learning (CoRL), 2018

FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images Paper

Osama Makansi, Eddy Ilg, Thomas Brox

Technical Report , arXiv:1808.06389, 2018

Efficient and Robust Deep Networks for Semantic Segmentation Paper

doi> Code/data

Gabriel Leivas Oliveira, C. Bollen, W. Burgard, Thomas Brox

The International Journal of Robotics Research (IJRR), 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

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

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

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

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

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

Project

Christian Zimmermann, 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

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

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Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

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

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

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

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

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

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 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

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 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

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 Paper

Code/data

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

Multi-view 3D Models from Single Images with a Convolutional Network Paper

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

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

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

Generating Images with Perceptual Similarity Metrics based on Deep Networks Code/data

Alexey Dosovitskiy, Thomas Brox

Advances in Neural Information Processing Systems (NIPS), 2016

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

Margret Keuper, Thomas Brox

Springer: 155--168, 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

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

doi>

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

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

iPiasco: Inertial Proximal Algorithm for strongly convex Optimization Paper

doi>

Peter Ochs, Thomas Brox, T. Pock

Journal of Mathematical Imaging and Vision, 53(2): 171-181, Oct 2015

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans Paper

V. Golkov, Alexey Dosovitskiy, P. Sämann, J. Sperl, T. Sprenger, M. Czisch, M. Menzel, P. Gómez, A. Haase, Thomas Brox, D. Cremers

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015

U-Net: Convolutional Networks for Biomedical Image Segmentation doi> Code/data

Olaf Ronneberger, Philipp Fischer, Thomas Brox

Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer, LNCS, Vol.9351: 234--241, 2015

Bilevel Optimization with Nonsmooth Lower Level Problems Paper

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Peter Ochs, R. Ranftl, Thomas Brox, T. Pock

International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Springer, LNCS, Vol.9087: 654--665, 2015

Learning to Generate Chairs with Convolutional Neural Networks Paper

Code/data

Alexey Dosovitskiy, J. Springenberg, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015

Motion Trajectory Segmentation via Minimum Cost Multicuts Paper

Code/data

Margret Keuper, B. Andres, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2015

Global, Dense Multiscale Reconstruction for a Billion Points Paper

Code/data

Project

Benjamin Ummenhofer, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2015

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts Paper

Margret Keuper, E. Levinkov, N. Bonneel, G. Lavoue, Thomas Brox, B. Andres

IEEE International Conference on Computer Vision (ICCV), 2015

Unsupervised Generation of a Viewpoint Annotated Car Dataset from Videos Paper

Nima Sedaghat, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2015

FlowNet: Learning Optical Flow with Convolutional Networks Paper

Code/data

Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, P. Häusser, C. Hazırbaş, V. Golkov, P. Smagt, D. Cremers, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2015

Video Segmentation with Just a Few Strokes Code/data

Naveen Shankar Nagaraja, Frank R. Schmidt, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2015

Striving for Simplicity: The All Convolutional Net Paper

J. Springenberg, Alexey Dosovitskiy, Thomas Brox, M. Riedmiller

ICLR (workshop track), 2015

Image Orientation Estimation with Convolutional Networks Paper

Philipp Fischer, Alexey Dosovitskiy, Thomas Brox

German Conference on Pattern Recognition (GCPR), Springer, 2015

Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation

Benjamin Drayer, Thomas Brox

British Machine Vision Conference (BMVC), 2015

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection Paper

doi> Code/data

Robert Bensch, Thomas Brox, Olaf Ronneberger

British Machine Vision Conference (BMVC), BMVA Press: 189.1--189.12, 2015

iPiano: Inertial Proximal Algorithm for Non-convex Optimization Paper

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Peter Ochs, Y. Chen, Thomas Brox, T. Pock

SIAM Journal on Imaging Sciences, 7(2): 1388-1419, 2014

Rotation-Invariant HOG Descriptors using Fourier Analysis in Polar and Spherical Coordinates doi> Code/data

Kun Liu, Henrik Skibbe, Thorsten Schmidt, T. Blein, K. Palme, Thomas Brox, Olaf Ronneberger

International Journal of Computer Vision, 106(3): 342-364, 2014

Segmentation of moving objects by long term video analysis Paper

doi> Code/data

Peter Ochs, J. Malik, Thomas Brox

IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(6): 1187 - 1200, Jun 2014

Voxel-based multi-class classification of AD, MCI, and elderly controls Code/data

Ahmed Abdulkadir, J. Peter, Olaf Ronneberger, Thomas Brox, S. Kloeppel

Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2014 - CADDementia Challenge, 2014

Reduction of Confounding Effects with Voxel-wise Gaussian Process Regression in Structural MRI doi>

Ahmed Abdulkadir, Olaf Ronneberger, S. Tabrizi, S. Kloeppel

International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2014: 1-4, 2014

Reconstruction of Rigid Body Models from Motion Distorted Laser Range Data Using Optical Flow Paper

Eddy Ilg, R. Kümmerle, W. Burgard, Thomas Brox

IEEE International Conference on Robotics and Automation (ICRA), 2014

Spectral graph reduction for efficient image and streaming video segmentation Paper

F. Galasso, Margret Keuper, Thomas Brox, B. Schiele

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014

Image Descriptors based on Curvature Histograms Paper

Philipp Fischer, Thomas Brox

German Conference on Pattern Recognition (GCPR), Springer, LNCS, 2014

Dense semi-rigid scene flow estimation from RGBD images Paper

Code/data

J. Quiroga, Thomas Brox, F. Devernay, J. Crowley

European Conference on Computer Vision (ECCV), 2014

Training Deformable Object Models for Human Detection based on Alignment and Clustering

Benjamin Drayer, Thomas Brox

European Conference on Computer Vision (ECCV), 2014

First International Workshop on Video Segmentation - Panel Discussion Paper

Thomas Brox, F. Galasso, F. Li, J. Rehg, B. Schiele

European Conference on Computer Vision (ECCV), Springer, 2014

Motion based foreground detection and poselet motion features for action recognition Paper

E. Kraft, Thomas Brox

Asian Conference on Computer Vision (ACCV), 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks Code/data

Alexey Dosovitskiy, J. Springenberg, M. Riedmiller, Thomas Brox

Advances in Neural Information Processing Systems 27 (NIPS), 2014

Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT Paper

Philipp Fischer, Alexey Dosovitskiy, Thomas Brox

Technical Report 1405.5769, arXiv(1405.5769), May 2014

Discriminative Detection and Alignment in Volumetric Data Paper

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Dominic Mai, Philipp Fischer, T. Blein, J. Dürr, K. Palme, Thomas Brox, Olaf Ronneberger

Pattern Recognition (GCPR 2013), Springer, LNCS, Vol.8142: 205-214, 2013

Distances based on Non-rigid Alignment for Comparison of Different Object Instances

Benjamin Drayer, Thomas Brox

Pattern Recognition (GCPR 2013), Springer, LNCS, Vol.8142: 215-224, 2013

Point-Based 3D Reconstruction of Thin Objects Paper

Benjamin Ummenhofer, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2013

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis Paper

Code/data

F. Galasso, Naveen Shankar Nagaraja, T. Cardenas, Thomas Brox, B. Schiele

IEEE International Conference on Computer Vision (ICCV), Dec 2013

An iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision Paper

Code/data

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

Blind deconvolution of widefield fluorescence microscopic data by regularization of the optical transfer function (OTF) Paper

Margret Keuper, Thorsten Schmidt, Maja Temerinac-Ott, J. Padeken, P. Heun, Olaf Ronneberger, Thomas Brox

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013

ViBE-Z: A Framework for 3D Virtual Colocalization Analysis in Zebrafish Larval Brains doi>

Olaf Ronneberger, Kun Liu, M. Rath, D. Rueß, T. Mueller, Henrik Skibbe, Benjamin Drayer, Thorsten Schmidt, A. Filippi, R. Nitschke, Thomas Brox, Hans Burkhardt, W. Driever

Nature Methods, 9(7): 735-742, 2012

Region based pose tracking with occlusions using 3D models Paper

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C. Schmaltz, B. Rosenhahn, Thomas Brox, J. Weickert

Machine Vision and Applications, 23(3): 557-577, 2012

Fast joint estimation of silhouettes and dense 3D geometry from multiple images Paper

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K. Kolev, Thomas Brox, D. Cremers

IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(3): 493-505, 2012

Fast rotation invariant 3D feature computation utilizing efficient local neighborhood operators doi> Code/data

Henrik Skibbe, M. Reisert, Thorsten Schmidt, Thomas Brox, Olaf Ronneberger, Hans Burkhardt

IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(8): 1563 - 1575 , 2012

Multiview deblurring for 3-D images from light sheet based fluorescence microscopy doi> Code/data

Maja Temerinac-Ott, Olaf Ronneberger, Peter Ochs, W. Driever, Thomas Brox, Hans Burkhardt

IEEE Transactions on Image Processing, 21(4): 1863-1873, 2012

Hierarchy of Localized Random Forests for Video Annotation Paper

Naveen Shankar Nagaraja, Peter Ochs, Kun Liu, Thomas Brox

Pattern Recognition (Proc. DAGM), Springer, LNCS , 2012

Dense 3D Reconstruction with a Hand-held Camera Paper

Benjamin Ummenhofer, Thomas Brox

Pattern Recognition (Proc. DAGM), Springer, LNCS, 2012

Blind Deconvolution with PSF Regularization for Wide-field Microscopy Paper

Margret Keuper, Maja Temerinac-Ott, J. Padeken, P. Heun, Thomas Brox, Hans Burkhardt, Olaf Ronneberger

IEEE International Symposium on Biomedical Imaging (ISBI): 1292 - 1295 , 2012

Higher Order Motion Models and Spectral Clustering Paper

Code/data

Peter Ochs, Thomas Brox

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2012

Stereoscopic scene flow computation for 3D motion understanding Paper

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A. Wedel, Thomas Brox, T. Vaudrey, C. Rabe, U. Franke, D. Cremers

International Journal of Computer Vision, 95(1): 29-51, 2011

Large displacement optical flow: descriptor matching in variational motion estimation Paper

doi> Code/data

Thomas Brox, J. Malik

IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3): 500-513, 2011

Hierarchical Markov Random Fields for Mast Cell Segmentation in Electron Microscopic Recordings Paper

Margret Keuper, Thorsten Schmidt, M. Rodriguez-Franco, W. Schamel, Thomas Brox, Hans Burkhardt, Olaf Ronneberger

IEEE International Symposium on Biomedical Imaging (ISBI): 973 - 978, 2011

Occlusion boundary detection and figure/ground assignment from optical flow Paper

P. Sundberg, Thomas Brox, M. Maire, P. Arbelaez, J. Malik

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2011

Object segmentation by alignment of poselet activations to image contours Paper

Thomas Brox, L. Bourdev, S. Maji, J. Malik

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2011

Object segmentation in video: a hierarchical variational approach for turning point trajectories into dense regions Paper

Code/data

Peter Ochs, Thomas Brox

IEEE International Conference on Computer Vision (ICCV), 2011

Multiview Deblurring for 3-D Images from Light Sheet based Fluorescence Microscopy - Supporting Online Material Paper

Maja Temerinac-Ott, Olaf Ronneberger, Peter Ochs, W. Driever, Thomas Brox, Hans Burkhardt

Technical Report 266, University of Freiburg(266), 2011

Inversin relays Frizzled-8 signals to promote proximal pronephros development doi>

S. Lienkamp, A. Ganner, C. Boehlke, Thorsten Schmidt, S. Arnold, T. Schäfer, D. Romaker, J. Schuler, S. Hoff, C. Powelske, A. Eifler, C. Krönig, A. Bullerkotte, R. Nitschke, E. Kuehn, E. Kim, Hans Burkhardt, Thomas Brox, Olaf Ronneberger, J. Gloy, G. Walz

Proceedings of the National Academy of Sciences, 107(47): 20388-20393, 2010

Optimization and filtering for human motion capture - a multi-layer framework Paper

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J. Gall, B. Rosenhahn, Thomas Brox, H. Seidel

International Journal of Computer Vision, 87(1): 75-92, Jan 2010

Colour, texture, and motion in level set based segmentation and tracking Paper

Thomas Brox, M. Rousson, R. Deriche, J. Weickert

Image and Vision Computing, 28(3): 376-390, Mar 2010

Combined region- and motion-based 3D tracking of rigid and articulated objects Paper

Thomas Brox, B. Rosenhahn, J. Gall, D. Cremers

IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(3): 402-415, Mar 2010

Object segmentation by long term analysis of point trajectories Paper

Code/data

Thomas Brox, J. Malik

European Conference on Computer Vision (ECCV), Springer, LNCS, Sept. 2010

Dense point trajectories by GPU-accelerated large displacement optical flow Paper

Code/data

N. Sundaram, Thomas Brox, K. Keutzer

European Conference on Computer Vision (ECCV), Springer, LNCS, Sept. 2010

Detecting people using mutually consistent poselet activations Paper

Code/data

L. Bourdev, S. Maji, Thomas Brox, J. Malik

European Conference on Computer Vision (ECCV), Springer, LNCS, Sept. 2010

On local region models and a statistical interpretation of the piecewise smooth Mumford-Shah functional Paper

Thomas Brox, D. Cremers

International Journal of Computer Vision, 84(2): 184-193, Jun. 2009

Continuous global optimization in multiview 3D reconstruction Paper

K. Kolev, M. Klodt, Thomas Brox, D. Cremers

International Journal of Computer Vision, 84(1): 80-96, May 2009

Localised mixture models in region-based tracking Paper

C. Schmaltz, B. Rosenhahn, Thomas Brox, J. Weickert

Pattern Recognition (Proc. DAGM), Springer, LNCS, Sept. 2009

Large displacement optical flow Paper

Code/data

Thomas Brox, C. Bregler, J. Malik

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2009

Efficient nonlocal means for denoising of textural patterns Paper

Code/data

Thomas Brox, O. Kleinschmidt, D. Cremers

IEEE Transactions on Image Processing, 17(7): 1083-1092, Jul. 2008

Staying well grounded in markerless motion capture Paper

B. Rosenhahn, C. Schmaltz, Thomas Brox, J. Weickert, H. Seidel

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.5096: 385-395, Jun. 2008

Modeling and tracking constrained mechanical systems Paper

B. Rosenhahn, Thomas Brox, D. Cremers, H. Seidel

International Workshop on Robot Vision, Springer, LNCS, Vol.4931: 98-110, Feb. 2008

Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures Paper

Thomas Brox, O. Kleinschmidt, D. Cremers

International Workshop on Local and Nonlocal Approximation, Aug. 2008

Dealing with self-occlusion in region based motion capture by means of internal regions Paper

C. Schmaltz, B. Rosenhahn, Thomas Brox, J. Weickert, L. Wietzke, G. Sommer

International Conference on Articulated Motion and Deformable Objects, Springer, LNCS, Vol.5098: 102-111, Jul. 2008

Markerless motion capture of man-machine interaction Paper

B. Rosenhahn, C. Schmaltz, Thomas Brox, D. Cremers, J. Weickert, H. Seidel

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2008

Efficient dense 3D scene flow from sparse or dense stereo data Paper

A. Wedel, C. Rabe, T. Vaudrey, Thomas Brox, U. Franke, D. Cremers

European Conference on Computer Vision (ECCV), Springer, LNCS, Vol.5302: 739-751, Oct. 2008

Three-dimensional shape knowledge for joint image segmentation and pose tracking Paper

B. Rosenhahn, Thomas Brox, J. Weickert

International Journal of Computer Vision, 73(3): 243-262, Jul. 2007

Fully automated segmentation and morphometrical analysis of muscle fibre images Paper

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Y. Kim, Thomas Brox, W. Feiden, J. Weickert

Cytometry Part A, 71(1): 8-15, 2007

Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction Paper

K. Kolev, M. Klodt, Thomas Brox, D. Cremers

Workshop on Photometric Analysis for Computer Vision, Oct. 2007

Occlusion Modeling by Tracking Multiple Objects Paper

C. Schmaltz, B. Rosenhahn, Thomas Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer

Pattern Recognition (Proc. DAGM), Springer, LNCS, Sept. 2007

WarpCut - Fast obstacle segmentation in monocular video Paper

A. Wedel, T. Schoenemann, Thomas Brox, D. Cremers

Pattern Recognition (Proc. DAGM), Springer, LNCS, Sept. 2007

Online smoothing for markerless motion capture Paper

B. Rosenhahn, Thomas Brox, D. Cremers, H. Seidel

Pattern Recognition (Proc. DAGM), Springer, LNCS, Sept. 2007

Nonparametric density estimation with adaptive anisotropic kernels for human motion tracking Paper

Thomas Brox, B. Rosenhahn, D. Cremers, H. Seidel

International Workshop on Human Motion, Springer, LNCS, Vol.4814: 152-165, Oct. 2007

Iterated Nonlocal Means for Texture Restoration Paper

Thomas Brox, D. Cremers

International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Springer, LNCS, Vol.4485: 13-24, May 2007

On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional Paper

Thomas Brox, D. Cremers

International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Springer, LNCS, Vol.4485: 203-213, May 2007

Scaled motion dynamics for markerless motion capture Paper

B. Rosenhahn, Thomas Brox, H. Seidel

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2007

Region-based Pose Tracking Paper

C. Schmaltz, B. Rosenhahn, Thomas Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer

Iberian Conference on Pattern Recognition and Image Analysis, Springer, LNCS, Jun. 2007

Continuous Global Optimization in Multiview 3D Reconstruction Paper

K. Kolev, M. Klodt, Thomas Brox, S. Esedoglu, D. Cremers

Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, LNCS, Vol.4679: 441-452, Aug. 2007

Numerical aspects of TV flow Paper

M. Breuß, Thomas Brox, A. Bürgel, T. Sonar, J. Weickert

Numerical Algorithms, 41(1): 79-101, Jan. 2006

A TV flow based local scale estimate and its application to texture discrimination Paper

Thomas Brox, J. Weickert

Journal of Visual Communication and Image Representation, 17(5): 1053-1073, Oct. 2006

Highly accurate optic flow computation with theoretically justified warping Paper

N. Papenberg, A. Bruhn, Thomas Brox, S. Didas, J. Weickert

International Journal of Computer Vision, 67(2): 141-158, Apr. 2006

Nonlinear structure tensors Paper

Thomas Brox, J. Weickert, B. Burgeth, P. Mrázek

Image and Vision Computing, 24(1): 41-55, Jan. 2006

Level Set Segmentation with Multiple Regions Paper

Thomas Brox, J. Weickert

IEEE Transactions on Image Processing, 15(10): 3213-3218, Oct. 2006

Realtime depth estimation and obstacle detection from monocular video Paper

A. Wedel, U. Franke, J. Klappstein, Thomas Brox, D. Cremers

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.4174: 475-484, Sept. 2006

Robust variational segmentation of 3D objects from multiple views Paper

K. Kolev, Thomas Brox, D. Cremers

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.4174: 688-697, Sept. 2006

Nonparametric density estimation for human pose tracking Paper

Thomas Brox, B. Rosenhahn, U. Kersting, D. Cremers

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.4174: 546-555, Apr. 2006

A comparison of shape matching methods for contour based pose estimation Paper

B. Rosenhahn, Thomas Brox, D. Cremers, H. Seidel

International Workshop on Combinatorial Image Analysis, Springer, LNCS, Vol.4040: 263-276, Jun. 2006

High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints Paper

Thomas Brox, B. Rosenhahn, D. Cremers, H. Seidel

European Conference on Computer Vision (ECCV), Springer, LNCS, Vol.3952: 98-111, May 2006

Variational motion segmentation with level sets Paper

Thomas Brox, A. Bruhn, J. Weickert

European Conference on Computer Vision (ECCV), Springer, LNCS, Vol.3951: 471-483, May 2006

Fully-automated analysis of muscle fiber images with combined region and edge based active contours Paper

Thomas Brox, Y. Kim, J. Weickert, W. Feiden

Bildverarbeitung in der Medizin, Springer: 86-90, Mar. 2006

Learning for multi-view 3D tracking in the context of particle filters Paper

J. Gall, B. Rosenhahn, Thomas Brox, U. Kersting, H. Seidel

Advances in Visual Computing, Springer, LNCS, Vol.4292: 59-69, Nov. 2006

PDE based deconvolution with forward-backward diffusivities and diffusion tensors Paper

M. Welk, D. Theis, Thomas Brox, J. Weickert

Scale Space and PDE Methods in Computer Vision, Springer, LNCS: 585-597, Apr. 2005

Stabilised nonlinear inverse diffusion for approximating hyperbolic PDEs Paper

M. Breuß, Thomas Brox, T. Sonar, J. Weickert

Scale Space and PDE Methods in Computer Vision, Springer, LNCS: 536-547, Apr. 2005

A system for marker-less human motion estimation Paper

B. Rosenhahn, U. Kersting, D. Smith, J. Gurney, Thomas Brox, R. Klette

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.3663: 109-116, Aug. 2005

Three-dimensional shape knowledge for joint image segmentation and pose estimation Paper

Thomas Brox, B. Rosenhahn, J. Weickert

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.3663: 109-116, Aug. 2005

On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs Paper

G. Steidl, J. Weickert, Thomas Brox, P. Mrázek, M. Welk

SIAM Journal on Numerical Analysis, 42(2): 686-713, May 2004

Level set based segmentation of multiple objects Paper

Thomas Brox, J. Weickert

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.3175: 415-423, Aug. 2004

A TV flow based local scale measure for texture discrimination Paper

Thomas Brox, J. Weickert

European Conference on Computer Vision (ECCV), Springer, LNCS, Vol.3022: 578-590, May 2004

High accuracy optical flow estimation based on a theory for warping Paper

Code/data

Thomas Brox, A. Bruhn, N. Papenberg, J. Weickert

European Conference on Computer Vision (ECCV), Springer, LNCS, Vol.3024: 25-36, May 2004

Equivalence results for TV diffusion and TV regularisation Paper

Thomas Brox, M. Welk, G. Steidl, J. Weickert

Scale Space Methods in Computer Vision, Springer, LNCS, Vol.2695: 86-100, Jun. 2003

Active unsupervised texture segmentation on a diffusion based feature space Paper

M. Rousson, Thomas Brox, R. Deriche

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Vol.2: 699-704, Jun. 2003

Unsupervised segmentation incorporating colour, texture, and motion Paper

Thomas Brox, M. Rousson, R. Deriche, J. Weickert

Computer Analysis of Images and Patterns, Springer, LNCS, Vol.2756: 353-360, Aug. 2003

Nonlinear matrix diffusion for optic flow estimation Paper

Thomas Brox, J. Weickert

Pattern Recognition (Proc. DAGM), Springer, LNCS, Vol.2449: 446-453, Sept. 2002

Diffusion and regularization of vector- and matrix-valued images Paper

J. Weickert, Thomas Brox

Inverse Problems, Image Analysis, and Medical Imaging, AMS: 251-268, Dec 2002

Multi-stage region merging for image segmentation Paper

Thomas Brox, D. Farin, P. de With

Symposium on Information and Communication Theory in the Benelux: 189-196, May 2001