Alexey Dosovitskiy

According to our database1, Alexey Dosovitskiy authored at least 59 papers between 2013 and 2018.

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Bibliography

2018
Artistic Style Transfer for Videos and Spherical Images.
International Journal of Computer Vision, 2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
International Journal of Computer Vision, 2018

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds.
CoRR, 2018

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
CoRR, 2018

On Offline Evaluation of Vision-based Driving Models.
CoRR, 2018

Frequency-Aware Model Predictive Control.
CoRR, 2018

On Evaluation of Embodied Navigation Agents.
CoRR, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
CoRR, 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning.
CoRR, 2018

Driving Policy Transfer via Modularity and Abstraction.
CoRR, 2018

Semi-parametric Topological Memory for Navigation.
CoRR, 2018

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
CoRR, 2018

End-to-End Driving Via Conditional Imitation Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

On Offline Evaluation of Vision-Based Driving Models.
Proceedings of the Computer Vision - ECCV 2018, 2018

Driving Policy Transfer via Modularity and Abstraction.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Motion Perception in Reinforcement Learning with Dynamic Objects.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Learning to Generate Chairs, Tables and Cars with Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments.
CoRR, 2017

CARLA: An Open Urban Driving Simulator.
CoRR, 2017

End-to-end Driving via Conditional Imitation Learning.
CoRR, 2017

Artistic style transfer for videos and spherical images.
CoRR, 2017

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs.
CoRR, 2017

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs.
Proceedings of the IEEE International Conference on Computer Vision, 2017

DeMoN: Depth and Motion Network for Learning Monocular Stereo.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

CARLA: An Open Urban Driving Simulator.
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.
IEEE Trans. Med. Imaging, 2016

Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

DeMoN: Depth and Motion Network for Learning Monocular Stereo.
CoRR, 2016

Artistic style transfer for videos.
CoRR, 2016

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space.
CoRR, 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
CoRR, 2016

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.
CoRR, 2016

Learning to Act by Predicting the Future.
CoRR, 2016

Generating Images with Perceptual Similarity Metrics based on Deep Networks.
CoRR, 2016

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks.
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.
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.
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.
Proceedings of the Computer Vision - ECCV 2016, 2016

Artistic Style Transfer for Videos.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Inverting Visual Representations with Convolutional Networks.
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.
SIAM J. Imaging Sciences, 2015

Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network.
CoRR, 2015

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation.
CoRR, 2015

FlowNet: Learning Optical Flow with Convolutional Networks.
CoRR, 2015

Inverting Convolutional Networks with Convolutional Networks.
CoRR, 2015

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

FlowNet: Learning Optical Flow with Convolutional Networks.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Image Orientation Estimation with Convolutional Networks.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

Learning to generate chairs with convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Striving for Simplicity: The All Convolutional Net.
CoRR, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
CoRR, 2014

Learning to Generate Chairs with Convolutional Neural Networks.
CoRR, 2014

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Unsupervised feature learning by augmenting single images.
CoRR, 2013

An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013


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