Thomas Brox
101 publications
14 venues
h-Index 51
Google's h-Index 94
Affiliation
University of Freiburg, Department of Computer Science, GermanySaarland University, Saarbr cken, Germany
Links
Additional Information
Achievements
2023 - Research.com Computer Science in Germany Leader AwardGoogle Citations
81800| Name | Venue | Year | citations |
|---|---|---|---|
Open-vocabulary Attribute Detection.
|
CVPR | 2023 | 0 |
| Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars.
|
NIPS/NeurIPS | 2023 | 0 |
| Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations.
|
ICLR | 2023 | 0 |
| Bridging the Gap to Real-World Object-Centric Learning.
|
ICLR | 2023 | 0 |
| Unsupervised Open-Vocabulary Object Localization in Videos.
|
ICCV | 2023 | 0 |
| Object-Centric Multiple Object Tracking.
|
ICCV | 2023 | 0 |
| Conditional Visual Servoing for Multi-Step Tasks.
|
IROS | 2022 | 1 |
| Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives.
|
AAAI | 2022 | 6 |
| Towards Total Recall in Industrial Anomaly Detection.
|
CVPR | 2022 | 0 |
| Towards Understanding Adversarial Robustness of Optical Flow Networks.
|
CVPR | 2022 | 0 |
| Assaying Out-Of-Distribution Generalization in Transfer Learning.
|
NIPS/NeurIPS | 2022 | 0 |
| You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.
|
ICLR | 2022 | 0 |
| Improving robustness against common corruptions with frequency biased models.
|
ICCV | 2021 | 13 |
| CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations.
|
ICCV | 2021 | 32 |
| On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors.
|
ICCV | 2021 | 11 |
| Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors.
|
CVPR | 2021 | 8 |
| Explicitly Modeled Attention Maps for Image Classification.
|
AAAI | 2021 | 0 |
| Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency.
|
TPAMI | 2021 | 0 |
| COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning.
|
NIPS/NeurIPS | 2020 | 96 |
| Improving Unimodal Object Recognition with Multimodal Contrastive Learning.
|
IROS | 2020 | 10 |
| Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior.
|
CVPR | 2020 | 22 |
| Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.
|
TPAMI | 2020 | 164 |
| FlowControl: Optical Flow Based Visual Servoing.
|
IROS | 2020 | 12 |
| Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.
|
ICRA | 2020 | 0 |
| Understanding and Robustifying Differentiable Architecture Search.
|
ICLR | 2020 | 0 |
| SELF: Learning to Filter Noisy Labels with Self-Ensembling.
|
ICLR | 2020 | 0 |
| AutoDispNet: Improving Disparity Estimation With AutoML.
|
ICCV | 2019 | 52 |
| Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.
|
CVPR | 2019 | 131 |
| FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images.
|
ICCV | 2019 | 199 |
| What Do Single-View 3D Reconstruction Networks Learn?
|
CVPR | 2019 | 244 |
| Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics.
|
IROS | 2019 | 14 |
| CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth.
|
CVPR | 2019 | 80 |
| Anomaly Detection With Multiple-Hypotheses Predictions.
|
ICML | 2019 | 0 |
| DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision.
|
NIPS/NeurIPS | 2019 | 0 |
| Automated Boxwood Topiary Trimming with a Robotic Arm and Integrated Stereo Vision
|
IROS | 2019 | 0 |
| Defending Against Universal Perturbations With Shared Adversarial Training.
|
ICCV | 2019 | 0 |
| Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.
|
ECCV | 2018 | 153 |
| DeepTAM: Deep Tracking and Mapping.
|
ECCV | 2018 | 171 |
| Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow.
|
ECCV | 2018 | 144 |
| ECO: Efficient Convolutional Network for Online Video Understanding.
|
ECCV | 2018 | 373 |
| Efficient and robust deep networks for semantic segmentation.
|
IJRR | 2018 | 30 |
| 3D Human Pose Estimation in RGBD Images for Robotic Task Learning.
|
ICRA | 2018 | 107 |
| DPDB-Net: Exploiting Dense Connections for Convolutional Encoders.
|
ICRA | 2018 | 3 |
| Motion Perception in Reinforcement Learning with Dynamic Objects.
|
CoRL | 2018 | 28 |
| Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection.
|
ICCV | 2017 | 181 |
| Topometric Localization with Deep Learning.
|
ISRR | 2017 | 33 |
| Learning to Estimate 3D Hand Pose from Single RGB Images.
|
ICCV | 2017 | 510 |
| Learning to Generate Chairs, Tables and Cars with Convolutional Networks.
|
TPAMI | 2017 | 5 |
| Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs.
|
ICCV | 2017 | 618 |
| Semantics-aware visual localization under challenging perceptual conditions.
|
ICRA | 2017 | 93 |
| Universal Adversarial Perturbations Against Semantic Image Segmentation.
|
ICCV | 2017 | 223 |
| Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications.
|
CVPR | 2017 | 0 |
| DeMoN: Depth and Motion Network for Learning Monocular Stereo.
|
CVPR | 2017 | 0 |
| FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
|
CVPR | 2017 | 0 |
| Generating Images with Perceptual Similarity Metrics based on Deep Networks.
|
NIPS/NeurIPS | 2016 | 948 |
| Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
|
NIPS/NeurIPS | 2016 | 41 |
| Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
|
NIPS/NeurIPS | 2016 | 566 |
| Deep learning for human part discovery in images.
|
ICRA | 2016 | 94 |
| Efficient deep models for monocular road segmentation.
|
IROS | 2016 | 184 |
| Multi-view 3D Models from Single Images with a Convolutional Network.
|
ECCV | 2016 | 0 |
| Inverting Visual Representations with Convolutional Networks.
|
CVPR | 2016 | 0 |
| A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
|
CVPR | 2016 | 0 |
| Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.
|
TPAMI | 2016 | 0 |
| Unsupervised Generation of a View Point Annotated Car Dataset from Videos.
|
ICCV | 2015 | 31 |
| FlowNet: Learning Optical Flow with Convolutional Networks.
|
ICCV | 2015 | 3159 |
| Global, Dense Multiscale Reconstruction for a Billion Points.
|
ICCV | 2015 | 67 |
| Motion Trajectory Segmentation via Minimum Cost Multicuts.
|
ICCV | 2015 | 179 |
| Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.
|
ICCV | 2015 | 110 |
| Video Segmentation with Just a Few Strokes.
|
ICCV | 2015 | 122 |
| Learning to generate chairs with convolutional neural networks.
|
CVPR | 2015 | 0 |
| Reconstruction of rigid body models from motion distorted laser range data using optical flow.
|
ICRA | 2014 | 8 |
| Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
|
NIPS/NeurIPS | 2014 | 841 |
| Segmentation of Moving Objects by Long Term Video Analysis.
|
TPAMI | 2014 | 500 |
| Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.
|
CVPR | 2014 | 85 |
| Dense Semi-rigid Scene Flow Estimation from RGBD Images.
|
ECCV | 2014 | 109 |
| Motion Based Foreground Detection and Poselet Motion Features for Action Recognition.
|
ACCV | 2014 | 8 |
| Training Deformable Object Models for Human Detection Based on Alignment and Clustering.
|
ECCV | 2014 | 16 |
| Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).
|
CVPR | 2013 | 19 |
| Point-Based 3D Reconstruction of Thin Objects.
|
ICCV | 2013 | 29 |
| An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision.
|
CVPR | 2013 | 66 |
| A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis.
|
ICCV | 2013 | 167 |
| Higher order motion models and spectral clustering.
|
CVPR | 2012 | 185 |
| Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images.
|
TPAMI | 2012 | 99 |
| Fast Rotation Invariant 3D Feature Computation Utilizing Efficient Local Neighborhood Operators.
|
TPAMI | 2012 | 42 |
| Object segmentation in video: A hierarchical variational approach for turning point trajectories into dense regions.
|
ICCV | 2011 | 237 |
| Object segmentation by alignment of poselet activations to image contours.
|
CVPR | 2011 | 116 |
| Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation.
|
TPAMI | 2011 | 1373 |
| Occlusion boundary detection and figure/ground assignment from optical flow.
|
CVPR | 2011 | 170 |
| Object Segmentation by Long Term Analysis of Point Trajectories.
|
ECCV | 2010 | 835 |
| Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects.
|
TPAMI | 2010 | 146 |
| Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow.
|
ECCV | 2010 | 479 |
| Detecting People Using Mutually Consistent Poselet Activations.
|
ECCV | 2010 | 413 |
| Large displacement optical flow.
|
CVPR | 2009 | 331 |
| Markerless motion capture of man-machine interaction.
|
CVPR | 2008 | 67 |
| Efficient Dense Scene Flow from Sparse or Dense Stereo Data.
|
ECCV | 2008 | 206 |
| Scaled Motion Dynamics for Markerless Motion Capture.
|
CVPR | 2007 | 65 |
| High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints.
|
ECCV | 2006 | 86 |
| Variational Motion Segmentation with Level Sets.
|
ECCV | 2006 | 132 |
| High Accuracy Optical Flow Estimation Based on a Theory for Warping.
|
ECCV | 2004 | 2849 |
| A TV Flow Based Local Scale Measure for Texture Discrimination.
|
ECCV | 2004 | 101 |
| Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space.
|
CVPR | 2003 | 306 |