Learning Representations for Predicting Future Activities

Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali +3

DeepTAM: Deep Tracking and Mapping

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

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

Nikolaus Mayer, Eddy Ilg, Philipp Fischer +4

Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild

Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox

Learning to Estimate 3D Hand Pose from Single RGB Images

Christian Zimmermann, Thomas Brox

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

Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski +2

FlowNet: Learning Optical Flow with Convolutional Networks

Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6

U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger, Philipp Fischer, Thomas Brox

Artistic style transfer for videos

Manuel Ruder, Alexey Dosovitskiy, Thomas Brox

Unsupervised feature learning by augmenting single images

Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox

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

Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox

Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow

Eddy Ilg, Özgün Çiçek, Silvio Galesso +4

ECO: Efficient Convolutional Network for Online Video Understanding

Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox

Universal Adversarial Perturbations Against Semantic Image Segmentation

Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox +1

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

Benjamin Drayer, Thomas Brox

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

Jonas Uhrig, Marius Cordts, Uwe Franke +1

Motion Perception in Reinforcement Learning with Dynamic Objects

Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun +1

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

Eddy Ilg, Tonmoy Saikia, Margret Keuper +1

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

Christian Zimmermann, Tim Welschehold, Christian Dornhege +2

What Do Single-view 3D Reconstruction Networks Learn?

Maxim Tatarchenko, Stephan R. Richter, René Ranftl +3

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

Osama Makansi, Eddy Ilg, Thomas Brox

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

Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou +3

TrimBot2020: an outdoor robot for automatic gardening

Nicola Strisciuglio, Radim Tylecek, Michael Blaich +9

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

Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox

iPiano: Inertial Proximal Algorithm for Non-Convex Optimization

Peter Ochs, Yunjin Chen, Thomas Brox +1

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

Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp +2

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Alexey Dosovitskiy, Thomas Brox

DeMoN: Depth and Motion Network for Learning Monocular Stereo

Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig +4

MAIN: Multi-Attention Instance Network for Video Segmentation

Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet +4

Orientation-boosted Voxel Nets for 3D Object Recognition

Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri +1

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

Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun +1

Lucid Data Dreaming for Video Object Segmentation

Anna Khoreva, Rodrigo Benenson, Eddy Ilg +2

Inverting Visual Representations with Convolutional Networks

Alexey Dosovitskiy, Thomas Brox

Anomaly Detection With Multiple-Hypotheses Predictions

Duc Tam Nguyen, Zhongyu Lou, Michael Klar +1

Robust Learning Under Label Noise With Iterative Noise-Filtering

Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou +3

Adversarial Examples for Semantic Image Segmentation

Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen +1

Striving for Simplicity: The All Convolutional Net

Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox +1

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

Nikolaus Mayer, Eddy Ilg, Philip Häusser +4

Topometric Localization with Deep Learning

Gabriel L. Oliveira, Noha Radwan, Wolfram Burgard +1

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

Osama Makansi, Eddy Ilg, Thomas Brox

Sparsity Invariant CNNs

Jonas Uhrig, Nick Schneider, Lukas Schneider +3

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia +3

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts

Margret Keuper, Evgeny Levinkov, Nicolas Bonneel +3

Learning to Generate Chairs, Tables and Cars with Convolutional Networks

Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko +1

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks

Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg +2

Artistic style transfer for videos and spherical images

Manuel Ruder, Alexey Dosovitskiy, Thomas Brox

Point-wise mutual information-based video segmentation with high temporal consistency

Margret Keuper, Thomas Brox

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

Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang +2

The paper proposes a gating mechanism and a bounded L1 regularizer to enable group-wise channel pruning in convolutional neural networks, achieving significant parameter reductions…

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

Margret Keuper, Siyu Tang, Yu Zhongjie +3

Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT

Philipp Fischer, Alexey Dosovitskiy, Thomas Brox

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

Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat +1

Techniques for Gradient Based Bilevel Optimization with Nonsmooth Lower Level Problems

Peter Ochs, René Ranftl, Thomas Brox +1

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

Evgeny Levinkov, Jonas Uhrig, Siyu Tang +7