Thomas Brox

Yi Zhu

Peter V. Gehler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving robustness against common corruptions with frequency biased models.

[BibT_eX]

[DOI]

Tonmoy Saikia

Cordelia Schmid

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrastive Representation Learning for Hand Shape Estimation.

[BibT_eX]

[DOI]

Christian Zimmermann

Max Argus

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

Essentials for Class Incremental Learning.

[BibT_eX]

[DOI]

Sudhanshu Mittal

Silvio Galesso

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Explicitly Modeled Attention Maps for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Huizhong Zhou

Int. J. Comput. Vis., 2020

Editor's Note.

[BibT_eX]

[DOI]

Mario Fritz

Int. J. Comput. Vis., 2020

Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Senthil Kumar Yogamani

CoRR, 2020

Scaling Imitation Learning in Minecraft.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Variate Temporal GAN for Large Scale Video Generation.

[BibT_eX]

[DOI]

Andrés Muñoz

Max Argus

CoRR, 2020

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

[BibT_eX]

[DOI]

Tonmoy Saikia

Cordelia Schmid

CoRR, 2020

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

[BibT_eX]

[DOI]

Simon Ging

Hamed Pirsiavash

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects.

[BibT_eX]

[DOI]

Anton Böhm

Nikolaus Mayer

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Improving Unimodal Object Recognition with Multimodal Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

FlowControl: Optical Flow Based Visual Servoing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

[BibT_eX]

[DOI]

Lukás Hermann

Max Argus

Andreas Eitel

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Understanding and Robustifying Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

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

[BibT_eX]

[DOI]

Duc Tam Nguyen

Thi-Phuong-Nhung Ngo

Thi Hoai Phuong Nguyen

Laura Beggel

Proceedings of the 8th International Conference on Learning Representations, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

[BibT_eX]

[DOI]

Jalal Fadili

J. Optim. Theory Appl., 2019

Lucid Data Dreaming for Video Object Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Parting with Illusions about Deep Active Learning.

[BibT_eX]

[DOI]

CoRR, 2019

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision.

[BibT_eX]

[DOI]

Duc Tam Nguyen

Maximilian Dax

Thi-Phuong-Nhung Ngo

Thi Hoai Phuong Nguyen

Zhongyu Lou

CoRR, 2019

Group Pruning using a Bounded-Lp norm for Group Gating and Regularization.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Learning Under Label Noise With Iterative Noise-Filtering.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Representations for Predicting Future Activities.

[BibT_eX]

[DOI]

Özgün Çiçek

Syed Mohsin Ali

Farzaneh Mahdisoltani

Can Zhang

CoRR, 2019

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision.

[BibT_eX]

[DOI]

Duc Tam Nguyen

Maximilian Dax

Thi-Phuong-Nhung Ngo

Thi Hoai Phuong Nguyen

Zhongyu Lou

Bastiaan A. Vroegindeweij

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision<sup>*</sup>.

[BibT_eX]

[DOI]

Dejan Kaljaca

Nikolaus Mayer

Angelo Mencarelli

Eldert J. van Henten

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Anomaly Detection With Multiple-Hypotheses Predictions.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

AutoDispNet: Improving Disparity Estimation With AutoML.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Defending Against Universal Perturbations With Shared Adversarial Training.

[BibT_eX]

[DOI]

Jan Hendrik Metzen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Group Pruning Using a Bounded-ℓ<sub>p</sub> Norm for Group Gating and Regularization.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2019

What Do Single-View 3D Reconstruction Networks Learn?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Efficient and robust deep networks for semantic segmentation.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Artistic Style Transfer for Videos and Spherical Images.

[BibT_eX]

[DOI]

Manuel Ruder

Int. J. Comput. Vis., 2018

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

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Osama Makansi

Eddy Ilg

CoRR, 2018

TrimBot2020: an outdoor robot for automatic gardening.

[BibT_eX]

[DOI]

CoRR, 2018

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

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

[BibT_eX]

[DOI]

Vladlen Koltun

Proceedings of the 6th International Conference on Learning Representations, 2018

ECO: Efficient Convolutional Network for Online Video Understanding.

[BibT_eX]

[DOI]

Kamaljeet Singh

Proceedings of the Computer Vision - ECCV 2018, 2018

DeepTAM: Deep Tracking and Mapping.

[BibT_eX]

[DOI]

Huizhong Zhou

Proceedings of the Computer Vision - ECCV 2018, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Temporally Consistent Depth Estimation in Videos with Recurrent Architectures.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Motion Perception in Reinforcement Learning with Dynamic Objects.

[BibT_eX]

[DOI]

Vladlen Koltun

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Learning to Generate Chairs, Tables and Cars with Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Global, Dense Multiscale Reconstruction for a Billion Points.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2017

Lucid Data Dreaming for Object Tracking.

[BibT_eX]

[DOI]

CoRR, 2017

Topometric Localization with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Semantics-aware visual localization under challenging perceptual conditions.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Adversarial Examples for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Volker Fischer

Mummadi Chaithanya Kumar

Jan Hendrik Metzen

Proceedings of the 5th International Conference on Learning Representations, 2017

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

[BibT_eX]

[DOI]

Christian Zimmermann

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Universal Adversarial Perturbations Against Semantic Image Segmentation.

[BibT_eX]

[DOI]

Jan Hendrik Metzen

Mummadi Chaithanya Kumar

Volker Fischer

Proceedings of the IEEE International Conference on Computer Vision, 2017

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

[BibT_eX]

[DOI]

Osama Makansi

Eddy Ilg

Proceedings of the Pattern Recognition - 39th German Conference, 2017

DeMoN: Depth and Motion Network for Learning Monocular Stereo.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Orientation-boosted Voxel Nets for 3D Object Recognition.

[BibT_eX]

[DOI]

Ehsan Amiri

Constantinos Anastasopoulos

Proceedings of the British Machine Vision Conference 2017, 2017

Sparsity Invariant CNNs.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

White Matter MS-Lesion Segmentation Using a Geometric Brain Model.

[BibT_eX]

[DOI]

Maddalena Strumia

Frank R. Schmidt

Cristina Granziera

Gunnar Krueger

IEEE Trans. Medical Imaging, 2016

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.

[BibT_eX]

[DOI]

Martin A. Riedmiller

IEEE Trans. Pattern Anal. Mach. Intell., 2016

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

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Orientation-boosted Voxel Nets for 3D Object Recognition.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Generating Images with Perceptual Similarity Metrics based on Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Efficient deep models for monocular road segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Deep learning for human part discovery in images.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 38th German Conference, 2016

Artistic Style Transfer for Videos.

[BibT_eX]

[DOI]

Manuel Ruder

Proceedings of the Pattern Recognition - 38th German Conference, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Inverting Visual Representations with Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Towards A Multidimensional Perspective on Shared Autonomy.

[BibT_eX]

[DOI]

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Shape Distances for Binary Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Perspectives in Shape Analysis, 2016

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

[BibT_eX]

[DOI]

Proceedings of the Perspectives in Shape Analysis, 2016

2015

On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization.

[BibT_eX]

[DOI]

Thomas Pock

J. Math. Imaging Vis., 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Striving for Simplicity: The All Convolutional Net.

[BibT_eX]

[DOI]

Martin A. Riedmiller

Proceedings of the 3rd International Conference on Learning Representations, 2015

Inverting Convolutional Networks with Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2015

Bilevel Optimization with Nonsmooth Lower Level Problems.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

U-Net: Convolutional Networks for Biomedical Image Segmentation.

[BibT_eX]

[DOI]

Olaf Ronneberger

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Video Segmentation with Just a Few Strokes.

[BibT_eX]

[DOI]

Naveen Shankar Nagaraja

Frank R. Schmidt

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Motion Trajectory Segmentation via Minimum Cost Multicuts.

[BibT_eX]

[DOI]

Bjoern Andres

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

FlowNet: Learning Optical Flow with Convolutional Networks.

[BibT_eX]

[DOI]

Patrick van der Smagt

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised Generation of a View Point Annotated Car Dataset from Videos.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image Orientation Estimation with Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 37th German Conference, 2015

Learning to generate chairs with convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2015, 2015

Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.

[BibT_eX]

[DOI]

Robert Bensch

Olaf Ronneberger

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Optical Flow.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

Diffusion Filtering.

[BibT_eX]

[DOI]

Computer Vision, A Reference Guide, 2014

iPiano: Inertial Proximal Algorithm for Nonconvex Optimization.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Segmentation of Moving Objects by Long Term Video Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

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

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2014

Unsupervised feature learning by augmenting single images.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Martin A. Riedmiller

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

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

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Dense Semi-rigid Scene Flow Estimation from RGBD Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Training Deformable Object Models for Human Detection Based on Alignment and Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

First International Workshop on Video Segmentation - Panel Discussion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Image Descriptors Based on Curvature Histograms.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 36th German Conference, 2014

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Motion Based Foreground Detection and Poselet Motion Features for Action Recognition.

[BibT_eX]

[DOI]

Erwin Kraft

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Point-Based 3D Reconstruction of Thin Objects.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

[BibT_eX]

[DOI]

Fabio Galasso

Naveen Shankar Nagaraja

Tatiana Jimenez Cardenas

Bernt Schiele

Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminative Detection and Alignment in Volumetric Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 35th German Conference, 2013

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

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 35th German Conference, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

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

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

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

[BibT_eX]

[DOI]

Kalin Kolev

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Region-based pose tracking with occlusions using 3D models.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2012

Blind deconvolution with PSF regularization for wide-field microscopy.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Dense 3D Reconstruction with a Hand-Held Camera.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2012

Hierarchy of Localized Random Forests for Video Annotation.

[BibT_eX]

[DOI]

Naveen Shankar Nagaraja

Kun Liu

Proceedings of the Pattern Recognition, 2012

Higher order motion models and spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Stereoscopic Scene Flow Computation for 3D Motion Understanding.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings.

[BibT_eX]

[DOI]

Thorsten Schmidt

Marta Rodriguez-Franco

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Object segmentation by alignment of poselet activations to image contours.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

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

[BibT_eX]

[DOI]

Image Vis. Comput., 2010

Optimization and Filtering for Human Motion Capture.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2010

Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow.

[BibT_eX]

[DOI]

Narayanan Sundaram

Kurt Keutzer

Proceedings of the Computer Vision, 2010

Object Segmentation by Long Term Analysis of Point Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

Detecting People Using Mutually Consistent Poselet Activations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

Continuous Global Optimization in Multiview 3D Reconstruction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2009

On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2009

Localised Mixture Models in Region-Based Tracking.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2009

Large displacement optical flow.

[BibT_eX]

[DOI]

Christoph Bregler

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Efficient Nonlocal Means for Denoising of Textural Patterns.

[BibT_eX]

[DOI]

Oliver Kleinschmidt

IEEE Trans. Image Process., 2008

Modeling and Tracking Line-Constrained Mechanical Systems.

[BibT_eX]

[DOI]

Proceedings of the Robot Vision, Second International Workshop, 2008

Efficient Dense Scene Flow from Sparse or Dense Stereo Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

An Evaluation Approach for Scene Flow with Decoupled Motion and Position.

[BibT_eX]

[DOI]

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

Staying Well Grounded in Markerless Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2008

Markerless motion capture of man-machine interaction.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Dealing with Self-occlusion in Region Based Motion Capture by Means of Internal Regions.

[BibT_eX]

[DOI]

Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008

2007

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

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2007

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

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Iterated Nonlocal Means for Texture Restoration.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Region-Based Pose Tracking.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

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

[BibT_eX]

[DOI]

Proceedings of the Human Motion, 2007

Continuous Global Optimization in Multiview 3D Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

WarpCut - Fast Obstacle Segmentation in Monocular Video.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2007

Occlusion Modeling by Tracking Multiple Objects.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2007

Online Smoothing for Markerless Motion Capture.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2007

Scaled Motion Dynamics for Markerless Motion Capture.

[BibT_eX]

[DOI]

Hans-Peter Seidel

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Level Set Segmentation With Multiple Regions.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Numerical aspects of TV flow.

[BibT_eX]

[DOI]

Numer. Algorithms, 2006

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

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2006

Nonlinear structure tensors.

[BibT_eX]

[DOI]

Image Vis. Comput., 2006

Highly Accurate Optic Flow Computation with Theoretically Justified Warping.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2006

A Comparison of Shape Matching Methods for Contour Based Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Combinatorial Image Analysis, 11th International Workshop, 2006

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing, Second International Symposium, 2006

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2006

Variational Motion Segmentation with Level Sets.

[BibT_eX]

[DOI]

Andrés Bruhn

Proceedings of the Computer Vision, 2006

Tracking Clothed People.

[BibT_eX]

[DOI]

Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

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

[BibT_eX]

[DOI]

Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Realtime Depth Estimation and Obstacle Detection from Monocular Video.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

Robust Variational Segmentation of 3D Objects from Multiple Views.

[BibT_eX]

[DOI]

Kalin Kolev

Proceedings of the Pattern Recognition, 2006

Nonparametric Density Estimation for Human Pose Tracking.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2006, Algorithmen, Systeme, Anwendungen, Proceedings des Workshops vom 19., 2006

PDEs for Tensor Image Processing.

[BibT_eX]

[DOI]

Proceedings of the Visualization and Processing of Tensor Fields, 2006

Adaptive Structure Tensors and their Applications.

[BibT_eX]

[DOI]

Rein van den Boomgaard

Proceedings of the Visualization and Processing of Tensor Fields, 2006

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

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mathematical Models in Computer Vision, 2006

2005

Von Pixeln zu Regionen: partielle Differentialgleichungen in der Bildanalyse.

[BibT_eX]

[DOI]

PhD thesis, 2005

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

[BibT_eX]

[DOI]

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

A System for Marker-Less Human Motion Estimation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

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

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004

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

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2004

A TV Flow Based Local Scale Measure for Texture Discrimination.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2004

High Accuracy Optical Flow Estimation Based on a Theory for Warping.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2004

Level Set Based Image Segmentation with Multiple Regions.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

Equivalence Results for TV Diffusion and TV Regularisation.

[BibT_eX]

[DOI]

Proceedings of the Scale Space Methods in Computer Vision, 4th International Conference, 2003

Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space.

[BibT_eX]

[DOI]

Mikaël Rousson

Rachid Deriche

Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Unsupervised Segmentation Incorporating Colour, Texture, and Motion.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 10th International Conference, 2003

2002

Nonlinear Matrix Diffusion for Optic Flow Estimation.

[BibT_eX]

[DOI]