T. Brox

发表

Optimization and Filtering for Human Motion Capture

Juergen Gall, B. Rosenhahn, T. Brox, 2010, International Journal of Computer Vision.

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

T. Brox, D. Cremers, O. Kleinschmidt, 2008 .

Detecting People Using Mutually Consistent Poselet Activations

Subhransu Maji, Jitendra Malik, Thomas Brox, 2010, ECCV.

A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis

Thomas Brox, Bernt Schiele, Fabio Galasso, 2013, 2013 IEEE International Conference on Computer Vision.

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation

Thomas Brox, Bernt Schiele, Margret Keuper, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Striving for Simplicity: The All Convolutional Net pdf

Thomas Brox, Martin A. Riedmiller, Alexey Dosovitskiy, 2014, ICLR.

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

Thomas Brox, Jason Yosinski, Alexey Dosovitskiy, 2016, NIPS.

High Accuracy Optical Flow Estimation Based on a Theory for Warping

Thomas Brox, Joachim Weickert, Andrés Bruhn, 2004, ECCV.

Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking

Bodo Rosenhahn, Thomas Brox, Joachim Weickert, 2007, International Journal of Computer Vision.

Large displacement optical flow

C. Bregler, T. Brox, Jitendra Malik, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

U-Net: Convolutional Networks for Biomedical Image Segmentation pdf

Thomas Brox, Olaf Ronneberger, Philipp Fischer, 2015, MICCAI.

Learning to generate chairs with convolutional neural networks

Thomas Brox, Alexey Dosovitskiy, Jost Tobias Springenberg, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Inverting Convolutional Networks with Convolutional Networks pdf

Thomas Brox, Alexey Dosovitskiy, T. Brox, 2015, ArXiv.

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Thomas Brox, Alexey Dosovitskiy, T. Brox, 2016, NIPS.

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

Thomas Brox, Alexey Dosovitskiy, Philipp Fischer, 2014, ArXiv.

FlowNet: Learning Optical Flow with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, Patrick van der Smagt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Diffusion and regularization of vector- and matrix-valued images

T. Brox, J. Weickert, 2002 .

Reconstruction of rigid body models from motion distorted laser range data using optical flow

Wolfram Burgard, Thomas Brox, Eddy Ilg, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik a Survey on Variational Optic Flow Methods for Small Displacements a Survey on Variational Optic Flow Methods for Small Displacements

T. Brox, J. Weickert, Andrés Bruhn, 2022 .

What Do Single-View 3D Reconstruction Networks Learn?

Thomas Brox, Zhuwen Li, Vladlen Koltun, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, Maxim Tatarchenko, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

DeepTAM: Deep Tracking and Mapping

Thomas Brox, Benjamin Ummenhofer, Huizhong Zhou, 2018, ECCV.

DeMoN: Depth and Motion Network for Learning Monocular Stereo

Thomas Brox, Eddy Ilg, Alexey Dosovitskiy, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Thomas Brox, Peter Ochs, T. Brox, 2011, 2011 International Conference on Computer Vision.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Ieee Transactions on Pattern Analysis and Machine Intelligence Combined Region-and Motion-based 3d Tracking of Rigid and Articulated Objects

Bodo Rosenhahn, Daniel Cremers, Thomas Brox, 2022 .

Variational Optic Flow Computation: From Continuous Models to Algorithms

T. Brox, J. Weickert, Andrés Bruhn, 2003 .

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Highly Accurate Optic Flow Computation with Theoretically Justified Warping Highly Accurate Optic Flow Computation with Theoretically Justified Warping

Thomas Brox, Joachim Weickert, Stephan Didas, 2022 .

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

Thomas Brox, Alexey Dosovitskiy, Maxim Tatarchenko, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Level Set Based Image Segmentation with Multiple Regions

Thomas Brox, Joachim Weickert, T. Brox, 2004, DAGM-Symposium.

Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

Jitendra Malik, Thomas Brox, T. Brox, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Large displacement optical flow

Jitendra Malik, Thomas Brox, Christoph Bregler, 2009, CVPR.

Object Segmentation by Long Term Analysis of Point Trajectories

Jitendra Malik, Thomas Brox, T. Brox, 2010, ECCV.

ECO: Efficient Convolutional Network for Online Video Understanding pdf

Thomas Brox, Kamaljeet Singh, Mohammadreza Zolfaghari, 2018, ECCV.

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

Thomas Brox, Eddy Ilg, Alexey Dosovitskiy, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking

Hans-Peter Seidel, Bodo Rosenhahn, Daniel Cremers, 2007, Workshop on Human Motion.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXX

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Stereoscopic Scene Flow Computation for 3D Motion Understanding

Daniel Cremers, Thomas Brox, Uwe Franke, 2011, International Journal of Computer Vision.

Deep learning is widely applicable to phenotyping embryonic development and disease

T. Brox, F. Helmchen, O. Ronneberger, 2021, Development.

Numerical Justification for Multiresolution Optical Flow Computation

T. Brox, J. Weickert, Andrés Bruhn, 2022 .

AutoDispNet: Improving Disparity Estimation With AutoML

Thomas Brox, Frank Hutter, Yassine Marrakchi, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

DIFFERENTIABLE ARCHITECTURE SEARCH

F. Hutter, T. Brox, T. Elsken, 2019 .

Region Based 3-D Pose Tracking with Occlusions

B. Rosenhahn, T. Brox, J. Weickert, 2010 .

12 Tracking Clothed People

B. Rosenhahn, T. Brox, H. Seidel, 2022 .

Mathematik Preprint Nr . 113 Nonlinear Structure Tensors

T. Brox, J. Weickert, B. Burgeth, 2004 .

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion

Wolfram Burgard, Thomas Brox, Abhinav Valada, 2016, ISER.

Multi-Stage Region Merging for Image Segmentation

T. Brox, D. Farin, 2001 .

Alzheimer ’ s disease state classification using structural volumetry , cortical thickness and intensity features

G Castellanos-Dominguez, N Amoroso, T. Brox, 2014 .

Improving Unimodal Object Recognition with Multimodal Contrastive Learning

Wolfram Burgard, Thomas Brox, Andreas Eitel, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains

Thomas Brox, Hans Burkhardt, Olaf Ronneberger, 2012, Nature Methods.

Blind deconvolution with PSF regularization for wide-field microscopy

Thomas Brox, Margret Keuper, Jan Padeken, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Supplementary Material for Sparsity Invariant CNNs

T. Brox, Andreas Geiger, U. Franke, 2017 .

Towards Robust Semantic Segmentation using Deep Fusion

Gabriel L. Oliveira, T. Brox, W. Burgard, 2010 .

Author Correction: U-Net: deep learning for cell counting, detection, and morphometry

Thomas Brox, Klaus Palme, Olaf Ronneberger, 2019, Nature Methods.

Towards Total Recall in Industrial Anomaly Detection

B. Schölkopf, T. Brox, P. Gehler, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Pattern Recognition

T. Brox, A. Dosovitskiy, M. Ruder, 2016, Lecture Notes in Computer Science.

Towards Understanding Adversarial Robustness of Optical Flow Networks

T. Brox, Tonmoy Saikia, Simon Schrodi, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Localized Vision-Language Matching for Open-vocabulary Object Detection

T. Brox, Sudhanshu Mittal, M. A. Bravo, 2022, ArXiv.

Tracking Clothed People

Hans-Peter Seidel, Bodo Rosenhahn, Thomas Brox, 2006, Human Motion.

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, T. Brox, F. Wenzel, 2022, ArXiv.

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

T. Brox, Yi Zhu, Francesco Locatello, 2022, ArXiv.

Pixel-level Correspondence for Self-Supervised Learning from Video

Yash Sharma, T. Brox, Chris Russell, 2022, ArXiv.

Localized Vision-Language Matching for Open-vocabulary Object Detection

T. Brox, Sudhanshu Mittal, M. A. Bravo, 2022, GCPR.

Microcracks in Silicon Wafers I: Inline Detection and Implications of Crack Morphology on Wafer Strength

Thomas Brox, Tim Welschehold, Stefan Rein, 2016, IEEE Journal of Photovoltaics.

Optical Flow

Thomas Brox, T. Brox, 2014, Computer Vision, A Reference Guide.

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection

Thomas Brox, Olaf Ronneberger, Robert Bensch, 2017, International Journal of Computer Vision.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part III

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

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

Thomas Brox, Osama Makansi, Özgün Çiçek, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Inversin relays Frizzled-8 signals to promote proximal pronephros development

Thomas Brox, Hans Burkhardt, Olaf Ronneberger, 2010, Proceedings of the National Academy of Sciences.

An Object Detector Trained on Line Drawings

T. Brox, P. Tippmann, 2012 .

CrossNorm: On Normalization for Off-Policy Reinforcement Learning

Thomas Brox, Max Argus, Artemij Amiranashvili, 2019 .

Probing Contextual Diversity for Dense Out-of-Distribution Detection

T. Brox, M. A. Bravo, Mehdi Naouar, 2022, ECCV Workshops.

Explainable AI for CNN-based prostate tumor segmentation in multi-parametric MRI correlated to whole mount histopathology

T. Brox, M. Benndorf, C. Zamboglou, 2022, Radiation oncology.

FreiHAND Dataset - Project Page

Thomas Brox, Max Argus, Jimei Yang, 2019, ICCV 2019.

B RIDGING THE G AP TO R EAL -W ORLD O BJECT C ENTRIC L EARNING

T. Brox, Tianjun Xiao, B. Scholkopf, 2022 .

Assaying Out-Of-Distribution Generalization in Transfer Learning

B. Schiele, B. Schölkopf, T. Brox, 2022, NeurIPS.

Optical Flow: Traditional Approaches

Thomas Brox, T. Brox, 2020, Computer Vision.

Inline quality rating of multi‐crystalline wafers based on photoluminescence images

Thomas Brox, Stefan Rein, Matthias Demant, 2016 .

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

T. Brox, Leonhard Sommer, Philipp Schröppel, 2022, GCPR.

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

T. Brox, J. Bechtold, Artemij Amiranashvili, 2022, 2022 International Conference on 3D Vision (3DV).

Pixel-level encoding and depth layering for instance-level semantic segmentation

Thomas Brox, Uwe Dr.-Ing. Franke, Marius Cordts, 2016 .

Search for temporal cell segmentation robustness in phase-contrast microscopy videos pdf

Thomas Brox, Arrate Muñoz-Barrutia, Özgün Çiçek, 2021, ArXiv.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, European Conference on Computer Vision.

Level set based segmentation of multiple objects

Thomas Brox, Joachim Weickert, T. Brox, 2004 .

RobotIO: A Python Library for Robot Manipulation Experiments

T. Brox, W. Burgard, Max Argus, 2022, ArXiv.

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

T. Brox, Max Argus, Silvio Galesso, 2022, ArXiv.

Towards Discovering Neural Architectures from Scratch

F. Hutter, T. Brox, Binxin Ru, 2022, ArXiv.

Equilibrium Fluctuations of Stochastic Particle Systems: The Role of Conserved Quantities

T. Brox, H. Rost, 1984 .

Region-based pose tracking with occlusions using 3D models

B. Rosenhahn, T. Brox, J. Weickert, 2012, Machine Vision and Applications.

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

T. Brox, A. Matzarakis, A. Christen, 2023, Urban Climate.

DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks

T. Brox, Huizhong Zhou, Benjamin Ummenhofer, 2019, International Journal of Computer Vision.

Lucid Data Dreaming for Video Object Segmentation

Thomas Brox, Bernt Schiele, Eddy Ilg, 2017, International Journal of Computer Vision.

Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms

Mohamed-Jalal Fadili, Thomas Brox, Peter Ochs, 2017, Journal of Optimization Theory and Applications.

Non-smooth Non-convex Bregman Minimization: Unification and New Algorithms

T. Brox, J. Fadili, Peter Ochs, 2018, Journal of Optimization Theory and Applications.

A TV Flow Based Local Scale Measure for Texture Discrimination

Thomas Brox, Joachim Weickert, T. Brox, 2004, ECCV.

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation pdf

Thomas Brox, Olaf Ronneberger, Ahmed Abdulkadir, 2016, MICCAI.

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

Thomas Brox, Olaf Ronneberger, Ahmed Abdulkadir, 2014, MICCAI 2014.

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

Daniel Cremers, Thomas Brox, Eddy Ilg, 2018, International Journal of Computer Vision.

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Thomas Brox, Margret Keuper, Eddy Ilg, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Daniel Cremers, Thomas Brox, Jonathan Sperl, 2016, IEEE Transactions on Medical Imaging.

U-Net: deep learning for cell counting, detection, and morphometry

Thomas Brox, Klaus Palme, Olaf Ronneberger, 2018, Nature Methods.

iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization

Thomas Brox, Peter Ochs, Thomas Pock, 2015, Journal of Mathematical Imaging and Vision.

Universal Adversarial Perturbations Against Semantic Image Segmentation

Thomas Brox, Jan Hendrik Metzen, Volker Fischer, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision

Thomas Brox, Alexey Dosovitskiy, Peter Ochs, 2015, SIAM J. Imaging Sci..

What Causes Optical Flow Networks to be Vulnerable to Physical Adversarial Attacks pdf

Thomas Brox, Tonmoy Saikia, Simon Schrodi, 2021, ArXiv.

An Objective Comparison of Cell Tracking Algorithms

Nathalie Harder, Karl Rohr, Lars Malmström, 2017, Nature Methods.

Occlusion boundary detection and figure/ground assignment from optical flow

Jitendra Malik, Thomas Brox, Pablo Andrés Arbeláez, 2011, CVPR 2011.

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

T. Brox, D. Durstewitz, I. Diester, 2021, bioRxiv.

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Colour, Texture, and Motion in Level Set Based Segmentation and Tracking Colour, Texture, and Motion in Level Set Based Segmentation and Tracking

Rachid Deriche, Thomas Brox, Joachim Weickert, 2022 .

Nonlinear structure tensors

Thomas Brox, Joachim Weickert, Bernhard Burgeth, 2006, Image Vis. Comput..

PDEs for Tensor Image Processing

Thomas Brox, Joachim Weickert, Martin Welk, 2006, Visualization and Processing of Tensor Fields.

Adaptive Structure Tensors and their Applications

Joost van de Weijer, Thomas Brox, Pierre Kornprobst, 2006, Visualization and Processing of Tensor Fields.

Unsupervised Segmentation Incorporating Colour, Texture, and Motion

Rachid Deriche, Thomas Brox, Joachim Weickert, 2003, CAIP.

Microridge-like structures anchor motile cilia

T. Brox, O. Ronneberger, Maximilian H. Ulbrich, 2022, Nature Communications.

Staying Well Grounded in Markerless Motion Capture

Hans-Peter Seidel, Bodo Rosenhahn, Thomas Brox, 2008, DAGM-Symposium.

Modeling and Tracking Line-Constrained Mechanical Systems

Thomas Brox, B. Rosenhahn, T. Brox, 2008, RobVis.

Online Smoothing for Markerless Motion Capture

Hans-Peter Seidel, Bodo Rosenhahn, Daniel Cremers, 2007, DAGM-Symposium.

Nonparametric Density Estimation for Human Pose Tracking

Bodo Rosenhahn, Daniel Cremers, Thomas Brox, 2006, DAGM-Symposium.

Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos

Bodo Rosenhahn, Daniel Cremers, Thomas Brox, 2006, Human Motion.

Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation

Bodo Rosenhahn, Thomas Brox, Joachim Weickert, 2005, DAGM-Symposium.

Maximum Likelihood Estimation

Thomas Brox, T. Brox, M. Denuit, 2019, Time Series Analysis.

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

Thomas Brox, Martin A. Riedmiller, Alexey Dosovitskiy, 2014, NIPS.

Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images

Marcin J. Skwark, Daniel Cremers, Thomas Brox, 2016, NIPS.

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

Thomas Brox, Bernt Schiele, Margret Keuper, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Motion Trajectory Segmentation via Minimum Cost Multicuts

Thomas Brox, Margret Keuper, Bjoern Andres, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts

Thomas Brox, Margret Keuper, Nicolas Bonneel, 2015, ICCV.

Continuous Global Optimization in Multiview 3D Reconstruction

Daniel Cremers, Thomas Brox, Kalin Kolev, 2007, International Journal of Computer Vision.

Active unsupervised texture segmentation on a diffusion based feature space

Rachid Deriche, Thomas Brox, Mikaël Rousson, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Sparsity Invariant CNNs

Thomas Brox, Nick Schneider, Andreas Geiger, 2017, 2017 International Conference on 3D Vision (3DV).

Towards A Multidimensional Perspective on Shared Autonomy

Stefan Kopp, Wolfram Burgard, Bernhard Nebel, 2016, AAAI Fall Symposia.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXV

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Anomaly Detection With Multiple-Hypotheses Predictions

Thomas Brox, Duc Tam Nguyen, Zhongyu Lou, 2018, ICML.

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

Thomas Brox, Alexey Dosovitskiy, Peter Ochs, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)

Thomas Brox, Margret Keuper, Jan Padeken, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors

Thomas Brox, Joachim Weickert, Martin Welk, 2005, Scale-Space.

Efficient Nonlocal Means for Denoising of Textural Patterns

Daniel Cremers, Thomas Brox, Oliver Kleinschmidt, 2008, IEEE Transactions on Image Processing.

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization pdf

Thomas Brox, Yunjin Chen, Peter Ochs, 2014, SIAM J. Imaging Sci..

Bilevel Optimization with Nonsmooth Lower Level Problems

Thomas Brox, Peter Ochs, Thomas Pock, 2015, SSVM.

Global, Dense Multiscale Reconstruction for a Billion Points

Thomas Brox, Benjamin Ummenhofer, T. Brox, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Image Orientation Estimation with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, Philipp Fischer, 2015, GCPR.

Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images

Daniel Cremers, Thomas Brox, Kalin Kolev, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On Local Region Models and the Statistical Interpretation of the Piecewise Smooth Mumford-shah Functional

Daniel Cremers, Thomas Brox, T. Brox, 2007 .

Markerless motion capture of man-machine interaction

Hans-Peter Seidel, Bodo Rosenhahn, Daniel Cremers, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction

Daniel Cremers, Thomas Brox, Kalin Kolev, 2007 .

WarpCut - Fast Obstacle Segmentation in Monocular Video

Daniel Cremers, Thomas Brox, Thomas Schoenemann, 2007, DAGM-Symposium.

Region-Based Pose Tracking

Bodo Rosenhahn, Daniel Cremers, Thomas Brox, 2007, IbPRIA.

Iterated Nonlocal Means for Texture Restoration

Daniel Cremers, Thomas Brox, T. Brox, 2007, SSVM.

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

Daniel Cremers, Thomas Brox, T. Brox, 2007, SSVM.

Robust Variational Segmentation of 3D Objects from Multiple Views

Daniel Cremers, Thomas Brox, Kalin Kolev, 2006, DAGM-Symposium.

Realtime Depth Estimation and Obstacle Detection from Monocular Video

Daniel Cremers, Thomas Brox, Jens Klappstein, 2006, DAGM-Symposium.

A Comparison of Shape Matching Methods for Contour Based Pose Estimation

Hans-Peter Seidel, Bodo Rosenhahn, Daniel Cremers, 2006, IWCIA.

High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints

Hans-Peter Seidel, Bodo Rosenhahn, Daniel Cremers, 2006, ECCV.

Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow

Kurt Keutzer, Thomas Brox, Narayanan Sundaram, 2010, ECCV.

FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images

Thomas Brox, Max Argus, Jimei Yang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Thomas Brox, Osama Makansi, Eddy Ilg, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Generation of a View Point Annotated Car Dataset from Videos

Thomas Brox, Nima Sedaghat, T. Brox, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Temporal Shift GAN for Large Scale Video Generation

Thomas Brox, Max Argus, Mohammadreza Zolfaghari, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

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

Thomas Brox, Alexey Dosovitskiy, Maxim Tatarchenko, 2015, ECCV.

Orientation-boosted Voxel Nets for 3D Object Recognition pdf

Thomas Brox, Nima Sedaghat, Mohammadreza Zolfaghari, 2016, BMVC.

Understanding and Robustifying Differentiable Architecture Search

F. Hutter, T. Brox, T. Elsken, 2019, ICLR.

Towards Robust Semantic Segmentation using Deep Fusion

Wolfram Burgard, Thomas Brox, Abhinav Valada, 2010 .

Optimized Generic Feature Learning for Few-shot Classification across Domains pdf

Cordelia Schmid, Thomas Brox, Tonmoy Saikia, 2020, ArXiv.

SELF: Learning to Filter Noisy Labels with Self-Ensembling pdf

Thomas Brox, Duc Tam Nguyen, Chaithanya Kumar Mummadi, 2019, ICLR.

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow

Thomas Brox, Aaron Klein, Osama Makansi, 2018, ECCV.

Ieee Transactions on Pattern Analysis and Machine Intelligence Segmentation of Moving Objects by Long Term Video Analysis

Jitendra Malik, Thomas Brox, Peter Ochs, 2022 .

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik Level Set Segmentation with Multiple Regions Level Set Segmentation with Multiple Regions

Thomas Brox, Joachim Weickert, T. Brox, 2022 .

Defending Against Universal Perturbations With Shared Adversarial Training

Thomas Brox, Jan Hendrik Metzen, Chaithanya Kumar Mummadi, 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Essentials for Class Incremental Learning

Thomas Brox, Sudhanshu Mittal, Silvio Galesso, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Variational Motion Segmentation with Level Sets

Thomas Brox, Joachim Weickert, Andrés Bruhn, 2006, ECCV.

Inverting Visual Representations with Convolutional Networks

Thomas Brox, Alexey Dosovitskiy, T. Brox, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Thomas Brox, Martin A. Riedmiller, Alexey Dosovitskiy, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency

Thomas Brox, Maxim Tatarchenko, Sudhanshu Mittal, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs

Thomas Brox, Joachim Weickert, Martin Welk, 2004, SIAM J. Numer. Anal..

CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations pdf

Thomas Brox, Peter Gehler, Mohammadreza Zolfaghari, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Learning to Estimate 3D Hand Pose from Single RGB Images

Thomas Brox, Christian Zimmermann, T. Brox, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

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

Thomas Brox, Mohammadreza Zolfaghari, Hamed Pirsiavash, 2020, NeurIPS.

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

Thomas Brox, Osama Makansi, Dominik Janzing, 2021, ICLR.

Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation pdf

Thomas Brox, Jan Hendrik Metzen, Evgeny Levinkov, 2021, ArXiv.

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

Thomas Brox, Javier Civera, Luis Montesano, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deep learning for human part discovery in images

Wolfram Burgard, Thomas Brox, Abhinav Valada, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

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

Thomas Brox, Eike Rehder, Uwe Franke, 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

Improving robustness against common corruptions with frequency biased models pdf

Cordelia Schmid, Thomas Brox, Tonmoy Saikia, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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

Thomas Brox, Margret Keuper, Eddy Ilg, 2018, ECCV.

Semi-Supervised Disparity Estimation with Deep Feature Reconstruction pdf

Thomas Brox, Julia Guerrero-Viu, Sergio Izquierdo, 2021, ArXiv.

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

T. Brox, Özgün Çiçek, Yassine Marrakchi, 2021, IEEE International Conference on Computer Vision.

Semantics-aware visual localization under challenging perceptual conditions

Wolfram Burgard, Thomas Brox, Gabriel L. Oliveira, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Dense Semi-rigid Scene Flow Estimation from RGBD Images

Thomas Brox, James L. Crowley, Julian Quiroga, 2014, ECCV.

Efficient Dense Scene Flow from Sparse or Dense Stereo Data

Daniel Cremers, Thomas Brox, Uwe Franke, 2008, ECCV.

Artistic Style Transfer for Videos pdf

Thomas Brox, Alexey Dosovitskiy, Manuel Ruder, 2016, GCPR.

Unsupervised Object Learning via Common Fate

Julius von Kügelgen, M. Bethge, B. Schölkopf, 2021, CLeaR.

Efficient deep models for monocular road segmentation

Wolfram Burgard, Thomas Brox, Gabriel L. Oliveira, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures

Thomas Brox, Benjamin Ummenhofer, Huizhong Zhou, 2018, ECCV Workshops.

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision

Thomas Brox, Duc Tam Nguyen, Maximilian Dax, 2019, NeurIPS.

End-to-End Learning of Video Super-Resolution with Motion Compensation

Thomas Brox, Osama Makansi, Eddy Ilg, 2017, GCPR.

Artistic Style Transfer for Videos and Spherical Images

Thomas Brox, Alexey Dosovitskiy, Manuel Ruder, 2017, International Journal of Computer Vision.

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

Thomas Brox, Gabriel L. Oliveira, Mohammadreza Zolfaghari, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Bridging the Gap to Real-World Object-Centric Learning

B. Schölkopf, T. Brox, Tianjun Xiao, 2022, ICLR.

Parting with Illusions about Deep Active Learning pdf

Thomas Brox, Maxim Tatarchenko, Özgün Çiçek, 2019, ArXiv.

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

Thomas Brox, Juergen Gall, David T. Hoffmann, 2022, AAAI.

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

T. Brox, Yi Zhu, Francesco Locatello, 2022, ICLR.

Localised Mixture Models in Region-Based Tracking

Bodo Rosenhahn, Thomas Brox, Joachim Weickert, 2009, DAGM-Symposium.

Higher order motion models and spectral clustering

Thomas Brox, Peter Ochs, T. Brox, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Scaling Imitation Learning in Minecraft pdf

Wolfram Burgard, Thomas Brox, Vladlen Koltun, 2020, ArXiv.

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

Wolfram Burgard, Thomas Brox, Christian Zimmermann, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

TrimBot2020: an outdoor robot for automatic gardening pdf

Robert B. Fisher, Nicolai Petkov, Thomas Brox, 2018, ArXiv.

Optimization and Filtering for Human Motion Capture

Hans-Peter Seidel, Bodo Rosenhahn, Thomas Brox, 2010, International Journal of Computer Vision.

Lucid Data Dreaming for Object Tracking pdf

Thomas Brox, Bernt Schiele, Rodrigo Benenson, 2017, ArXiv.

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

Thomas Brox, Maxim Tatarchenko, Jan Bechtold, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Video Segmentation with Just a Few Strokes

Thomas Brox, Naveen Shankar Nagaraja, Frank R. Schmidt, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Lucid Data Dreaming for Video Object Segmentation

B. Schiele, T. Brox, Rodrigo Benenson, 2017, International Journal of Computer Vision.

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

Wolfram Burgard, Thomas Brox, Maxim Tatarchenko, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Motion Perception in Reinforcement Learning with Dynamic Objects pdf

Thomas Brox, Vladlen Koltun, Artemij Amiranashvili, 2018, CoRL.

Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network pdf

Thomas Brox, Alexey Dosovitskiy, Maxim Tatarchenko, 2015, ArXiv.

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

Thomas Brox, Benjamin Drayer, T. Brox, 2013, GCPR.

Rotation-Invariant HOG Descriptors Using Fourier Analysis in Polar and Spherical Coordinates

Kun Liu, Thomas Brox, Thorsten Schmidt, 2014, International Journal of Computer Vision.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXI

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Diffusion Filters and Wavelets: What Can They Learn from Each Other?

Thomas Brox, Joachim Weickert, Martin Welk, 2006, Handbook of Mathematical Models in Computer Vision.

Image Descriptors Based on Curvature Histograms

Thomas Brox, Philipp Fischer, T. Brox, 2014, GCPR.

Nonlinear Matrix Diffusion for Optic Flow Estimation

Thomas Brox, Joachim Weickert, T. Brox, 2002, DAGM-Symposium.

Unsupervised feature learning by augmenting single images pdf

Thomas Brox, Alexey Dosovitskiy, Jost Tobias Springenberg, 2013, ICLR.

White Matter MS-Lesion Segmentation Using a Geometric Brain Model

Thomas Brox, Cristina Granziera, Maddalena Strumia, 2016, IEEE Transactions on Medical Imaging.

Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling

Thomas Brox, Uwe Franke, Marius Cordts, 2016, GCPR.

Adversarial Examples for Semantic Image Segmentation pdf

Thomas Brox, Jan Hendrik Metzen, Volker Fischer, 2017, ICLR.

FlowControl: Optical Flow Based Visual Servoing pdf

Thomas Brox, Lukas Hermann, Max Argus, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Pattern Recognition

T. Brox, A. Dosovitskiy, Manuel Ruder, 2016, Lecture Notes in Computer Science.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVI

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Requirements for mammalian promoters to decode transcription factor dynamics

T. Brox, B. Di Ventura, Özgün Çiçek, 2021, bioRxiv.

Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy

Thomas Brox, Hans Burkhardt, Olaf Ronneberger, 2012, IEEE Transactions on Image Processing.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVIII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection

Nico Scherf, Thomas Brox, Olaf Ronneberger, 2017, International Journal of Computer Vision.

Author Correction: U-Net: deep learning for cell counting, detection, and morphometry

Tuan Leng Tay, T. Brox, O. Ronneberger, 2019, Nature Methods.

The Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion

Robert B. Fisher, Thomas Brox, Torsten Sattler, 2018, ECCV Workshops.

A System for Marker-Less Human Motion Estimation

Bodo Rosenhahn, Thomas Brox, Reinhard Klette, 2005, DAGM-Symposium.

A system for marker-less motion capture

Bodo Rosenhahn, Thomas Brox, Reinhard Klette, 2006, Künstliche Intell..

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

Thomas Brox, Ilka Diester, Artur Schneider, 2021, Neuron.

FreiPose: A Deep Learning Framework for Precise Animal Motion Capture in 3D Spaces

Thomas Brox, Mansour Alyahyay, C. Zimmermann, 2020, bioRxiv.

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

Daniel Cremers, Thomas Brox, Pedro A. Gómez, 2015, MICCAI.

Optimization and Filtering for Human Motion Capture A Multi-Layer Framework

Juergen Gall, B. Rosenhahn, T. Brox, 2008 .

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIX

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Scaled Motion Dynamics for Markerless Motion Capture

Hans-Peter Seidel, Bodo Rosenhahn, Thomas Brox, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Fully automated segmentation and morphometrical analysis of muscle fiber images

Thomas Brox, Joachim Weickert, Yoo-Jin Kim, 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

Learning Representations for Predicting Future Activities pdf

Thomas Brox, Syed Mohsin Ali, Özgün Çiçek, 2019, ArXiv.

Consistency-based anomaly detection with adaptive multiple-hypotheses predictions pdf

Thomas Brox, Duc Tam Nguyen, Zhongyu Lou, 2018, ArXiv.

Anomaly Detection With Multiple-Hypotheses Predictions-Supplementary Materials -

T. Brox, Zhongyu Lou, D. Nguyen, 2019 .

Equivalence Results for TV Diffusion and TV Regularisation

Thomas Brox, Joachim Weickert, Martin Welk, 2003, Scale-Space.

Numerical aspects of TV flow

Thomas Brox, Michael Breuß, Joachim Weickert, 2005, Numerical Algorithms.

Neural Architecture Search for Dense Prediction Tasks in Computer Vision

F. Hutter, T. Brox, J. H. Metzen, 2022, International Journal of Computer Vision.

Multi-Variate Temporal GAN for Large Scale Video Generation pdf

Thomas Brox, Max Argus, Mohammadreza Zolfaghari, 2020, ArXiv.

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

Thomas Brox, Osama Makansi, Eddy Ilg, 2018, ArXiv.

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

Thomas Brox, Max Argus, Artemij Amiranashvili, 2019, 1902.05605.

U NSUPERVISED S EMANTIC S EGMENTATION WITH S ELF-SUPERVISED O BJECT-CENTRIC R EPRESENTA-TIONS

T. Brox, Yi Zhu, Francesco Locatello, 2023 .

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

Thomas Brox, Bernt Schiele, Carsten Rother, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects pdf

Thomas Brox, Bernt Schiele, Margret Keuper, 2016, ArXiv.

Contrastive Representation Learning for Hand Shape Estimation

Thomas Brox, Max Argus, Christian Zimmermann, 2021, GCPR.

DeMoN: Depth and Motion Network for Learning Monocular Stereo

T. Brox, A. Dosovitskiy, Eddy Ilg, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning for Multi-view 3D Tracking in the Context of Particle Filters

Hans-Peter Seidel, Bodo Rosenhahn, Thomas Brox, 2006, ISVC.

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks pdf

Thomas Brox, Aaron Klein, Osama Makansi, 2018, ArXiv.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs

Thomas Brox, Michael Breuß, Joachim Weickert, 2005, Scale-Space.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Open-vocabulary Attribute Detection

T. Brox, Sudhanshu Mittal, M. A. Bravo, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards improving robustness of compressed CNNs

T. Brox, Tonmoy Saikia, Shashank Agnihotri, 2021 .

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

F. Hutter, T. Brox, Binxin Ru, 2022, 2211.01842.

Lucid Data Dreaming for Multiple Object Tracking

Thomas Brox, Bernt Schiele, Eddy Ilg, 2017, 1703.09554.

Topometric Localization with Deep Learning pdf

Wolfram Burgard, Thomas Brox, Gabriel L. Oliveira, 2017, ISRR.

MAIN: Multi-Attention Instance Network for Video Segmentation pdf

Bernard Ghanem, Thomas Brox, Pablo Andrés Arbeláez, 2019, Comput. Vis. Image Underst..

U NSUPERVISED O BJECT L EARNING VIA C OMMON F ATE pdf

Thomas Brox, Matthias Bethge, Bernhard Scholkopf, 2021 .

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders

Wolfram Burgard, Thomas Brox, Gabriel L. Oliveira, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators

Thomas Brox, Thorsten Schmidt, Hans Burkhardt, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Thomas Brox, Margret Keuper, T. Brox, 2016, Perspectives in Shape Analysis.

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

T. Brox, W. Burgard, Max Argus, 2019, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Markerless Motion Capture of Man-machine Interaction

B. Rosenhahn, T. Brox, H. Seidel, 2022 .

Discriminative Detection and Alignment in Volumetric Data

Thomas Brox, Klaus Palme, Olaf Ronneberger, 2013, GCPR.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Motion Based Foreground Detection and Poselet Motion Features for Action Recognition

Thomas Brox, Erwin Kraft, T. Brox, 2014, ACCV.

Fighting Class Imbalance with Contrastive Learning

Thomas Brox, Osama Makansi, Yassine Marrakchi, 2021, MICCAI.

Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems

Thomas Brox, Peter Ochs, Thomas Pock, 2016, Journal of Mathematical Imaging and Vision.

Shape Distances for Binary Image Segmentation

Thomas Brox, Lena Gorelick, Ismail Ben Ayed, 2016, Perspectives in Shape Analysis.

Dense 3D Reconstruction with a Hand-Held Camera

Thomas Brox, Benjamin Ummenhofer, T. Brox, 2012, DAGM/OAGM Symposium.

Erratum: ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains

Thomas Brox, Hans Burkhardt, Olaf Ronneberger, 2012, Nature Methods.

U-Net: deep learning for cell counting, detection, and morphometry

Tuan Leng Tay, T. Brox, O. Ronneberger, 2018, Nature Methods.

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Martin A. Riedmiller, T. Brox, A. Dosovitskiy, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

Martin A. Riedmiller, T. Brox, A. Dosovitskiy, 2014, NIPS.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Robust Learning Under Label Noise With Iterative Noise-Filtering pdf

Thomas Brox, Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, 2019, ArXiv.

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

T. Brox, I. Diester, Artur Schneider, 2022, Neuron.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VIII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Multiview Deblurring for 3-D Images from Light-Sheet-Based Fluorescence Microscopy

T. Brox, W. Driever, O. Ronneberger, 2012, IEEE Transactions on Image Processing.

ALBERT-LUDWIG UNIVERSITY FREIBURG Institute of Computer Science Chair for Pattern Recognition and Image Processing Multiview Deblurring for 3-D Images from Light Sheet based Fluorescence Microscopy - Supporting Online Material

T. Brox, W. Driever, O. Ronneberger, 2011 .

NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding

T. Brox, J. Boedecker, I. Diester, 2022, 2204.04733.

Pre-training of Deep RL Agents for Improved Learning under Domain Randomization pdf

Wolfram Burgard, Thomas Brox, Lukas Hermann, 2021, ArXiv.

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

Thomas Brox, Osama Makansi, Özgün Çiçek, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A one-dimensional diffusion process in a Wiener medium

T. Brox, Th. Brox, 1986 .

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation

T. Brox, Jitendra Malik, 2022 .

Explicitly Modeled Attention Maps for Image Classification pdf

Thomas Brox, Duc Tam Nguyen, Maximilian Dax, 2020, AAAI.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIX

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Martin A. Riedmiller, Jost Tobias Springenberg, T. Brox, 2022 .

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision

Chaithanya Kumar Mummadi, T. Brox, Zhongyu Lou, 2019, ArXiv.

White Matter MS-Lesion Segmentation Using a Geometric Brain Model

Frank R. Schmidt, T. Brox, C. Granziera, 2016, IEEE Transactions on Medical Imaging.

Conditional Visual Servoing for Multi-Step Tasks

T. Brox, Max Argus, Sergio Izquierdo, 2022, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Universität Des Saarlandes Fachrichtung 6.1 – Mathematik on the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and Sides on the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and Sides

T. Brox, P. Mrázek, J. Weickert, 2022 .

Open-vocabulary Attribute Detection Supplementary

T. Brox, Sudhanshu Mittal, M. A. Bravo, 2023 .

Best Practices in Active Learning for Semantic Segmentation

T. Brox, Sudhanshu Mittal, J. Niemeijer, 2023, DAGM.

Striving for Simplicity: The All Convolutional Net

Martin A. Riedmiller, Jost Tobias Springenberg, T. Brox, 2014, ICLR.

Efficient and robust deep networks for semantic segmentation

Wolfram Burgard, Thomas Brox, Gabriel L. Oliveira, 2018, Int. J. Robotics Res..

Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation pdf

Thomas Brox, Benjamin Drayer, T. Brox, 2016, ArXiv.

Multi-headed Neural Ensemble Search pdf

Thomas Brox, Frank Hutter, Tonmoy Saikia, 2021, ArXiv.

Temporal Shift GAN for Large Scale Video Generation

T. Brox, Max Argus, M. Zolfaghari, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Revisiting Deep Active Learning for Semantic Segmentation

T. Brox, Sudhanshu Mittal, J. Niemeijer, 2023, ArXiv.

Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVII

Jan-Michael Frahm, Thomas Brox, Horst Bischof, 2020, ECCV.

Anomaly Detection with Conditioned Denoising Diffusion Models

T. Brox, Jawad Tayyub, Arian Mousakhan, 2023, ArXiv.