Alexey Dosovitskiy

Davide Scaramuzza

IEEE Robotics Autom. Lett., 2020

Learning Object-Centric Video Models by Contrasting Sets.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Depth via Interaction.

[BibT_eX]

[DOI]

Antonio Loquercio

Davide Scaramuzza

CoRR, 2020

Object-Centric Learning with Slot Attention.

[BibT_eX]

[DOI]

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

You Only Train Once: Loss-Conditional Training of Deep Networks.

[BibT_eX]

[DOI]

Josip Djolonga

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

2019

Learning agile and dynamic motor skills for legged robots.

[BibT_eX]

[DOI]

Sci. Robotics, 2019

Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Frequency-Aware Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

The Visual Task Adaptation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2019

Benchmarking Classic and Learned Navigation in Complex 3D Environments.

[BibT_eX]

[DOI]

Dmytro Mishkin

CoRR, 2019

Learning agile and dynamic motor skills for legged robots.

[BibT_eX]

[DOI]

CoRR, 2019

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Learning to Predict the Wind for Safe Aerial Vehicle Planning.

[BibT_eX]

[DOI]

Florian Achermann

Nicholas R. J. Lawrance

Proceedings of the International Conference on Robotics and Automation, 2019

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

On Evaluation of Embodied Navigation Agents.

[BibT_eX]

[DOI]

Peter Anderson

Angel X. Chang

Devendra Singh Chaplot

CoRR, 2018

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds.

[BibT_eX]

[DOI]

Eldar Insafutdinov

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Driving Via Conditional Imitation Learning.

[BibT_eX]

[DOI]

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

Semi-parametric topological memory for navigation.

[BibT_eX]

[DOI]

Nikolay Savinov

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

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

[BibT_eX]

[DOI]

Artemij Amiranashvili

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

On Offline Evaluation of Vision-Based Driving Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Driving Policy Transfer via Modularity and Abstraction.

[BibT_eX]

[DOI]

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

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.

[BibT_eX]

[DOI]

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

Motion Perception in Reinforcement Learning with Dynamic Objects.

[BibT_eX]

[DOI]

Artemij Amiranashvili

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

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Act by Predicting the Future.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 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

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

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space.

[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

CARLA: An Open Urban Driving Simulator.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

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]

Philipp Fischer

Martin A. Riedmiller

IEEE Trans. Pattern Anal. Mach. Intell., 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

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

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 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

2015

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

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 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

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

FlowNet: Learning Optical Flow with Convolutional Networks.

[BibT_eX]

[DOI]

Patrick van der Smagt

Daniel Cremers

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

Image Orientation Estimation with Convolutional Networks.

[BibT_eX]

[DOI]

Philipp Fischer

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

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