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THOMAS BROX
Author Info
Open Visualization
Name
Affiliation
Papers
THOMAS BROX
Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Building 27, 66041 Saarbrücken, Germany
167
Collaborators
Citations
PageRank
264
7866
327.52
Referers
Referees
References
18904
2951
2376
Search Limit
100
1000
Publications (100 rows)
Collaborators (100 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Towards Total Recall in Industrial Anomaly Detection
0
0.34
2022
Towards Understanding Adversarial Robustness of Optical Flow Networks
0
0.34
2022
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
0
0.34
2022
Conditional Visual Servoing for Multi-Step Tasks.
0
0.34
2022
Essentials for Class Incremental Learning
0
0.34
2021
Explicitly Modeled Attention Maps For Image Classification
0
0.34
2021
Contrastive Representation Learning for Hand Shape Estimation.
0
0.34
2021
Temporal Shift Gan For Large Scale Video Generation
0
0.34
2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors.
0
0.34
2021
MAIN: Multi-Attention Instance Network for video segmentation
0
0.34
2021
Multimodal Future Localization And Emergence Prediction For Objects In Egocentric View With A Reachability Prior
0
0.34
2020
DeepTAM: Deep Tracking and Mapping with Convolutional Neural Networks
0
0.34
2020
FlowControl: Optical Flow Based Visual Servoing
0
0.34
2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
0
0.34
2020
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control.
0
0.34
2020
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
0
0.34
2020
Self-Supervised 3d Shape And Viewpoint Estimation From Single Images For Robotics
4
0.40
2019
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images
12
0.46
2019
Defending Against Universal Perturbations With Shared Adversarial Training
1
0.38
2019
CrossNorm: Normalization for Off-Policy TD Reinforcement Learning.
0
0.34
2019
Pattern Recognition - 40th German Conference, GCPR 2018, Stuttgart, Germany, October 9-12, 2018, Proceedings
0
0.34
2019
What Do Single-View 3d Reconstruction Networks Learn?
14
0.53
2019
Anomaly DetectionWith Multiple-Hypotheses Predictions
2
0.36
2019
Automated Boxwood Topiary Trimming With A Robotic Arm And Integrated Stereo Vision
0
0.34
2019
Robust Learning Under Label Noise With Iterative Noise-Filtering.
0
0.34
2019
Overcoming Limitations Of Mixture Density Networks: A Sampling And Fitting Framework For Multimodal Future Prediction
7
0.44
2019
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision
1
0.35
2019
Cam-Convs: Camera-Aware Multi-Scale Convolutions For Single-View Depth
2
0.36
2019
FusionNet and AugmentedFlowNet: Selective Proxy Ground Truth for Training on Unlabeled Images.
0
0.34
2018
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
14
0.72
2018
Artistic style transfer for videos and spherical images.
10
0.56
2018
Efficient And Robust Deep Networks For Semantic Segmentation
2
0.38
2018
Consistency-based anomaly detection with adaptive multiple-hypotheses predictions.
0
0.34
2018
Sparsity Invariant CNNs
9
0.47
2017
Lucid Data Dreaming for Object Tracking.
14
0.72
2017
Topometric Localization with Deep Learning.
1
0.35
2017
Spatiotemporal Deformable Prototypes for Motion Anomaly Detection.
2
0.39
2017
Semantics-aware visual localization under challenging perceptual conditions.
8
0.49
2017
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects.
9
0.55
2016
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.
86
4.47
2016
Object Detection, Tracking, and Motion Segmentation for Object-level Video Segmentation.
2
0.37
2016
A Large Dataset To Train Convolutional Networks For Disparity, Optical Flow, And Scene Flow Estimation
153
3.20
2016
Deep Multispectral Semantic Scene Understanding of Forested Environments Using Multimodal Fusion.
3
0.43
2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.
201
6.38
2016
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
0
0.34
2016
Generating Images with Perceptual Similarity Metrics based on Deep Networks.
117
3.99
2016
Artistic Style Transfer For Videos
30
1.28
2016
Pixel-Level Encoding And Depth Layering For Instance-Level Semantic Labeling
37
1.93
2016
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
82
2.60
2016
Striving for Simplicity: The All Convolutional Net.
0
0.34
2015
1
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