Alexey Dosovitskiy

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 82

Top Topics

Convolutional Network

Image Recognition

Top Venues

Publications

Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR (2024)
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR (2022)
Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
Conditional Object-Centric Learning from Video. ICLR (2022)
Matthias Minderer, Alexey A. Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby
Simple Open-Vocabulary Object Detection. ECCV (10) (2022)
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR (2022)
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
Do Vision Transformers See Like Convolutional Neural Networks? CoRR (2021)
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CVPR (2021)
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
MLP-Mixer: An all-MLP Architecture for Vision. NeurIPS (2021)
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS (2021)
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
Differentiable Patch Selection for Image Recognition. CoRR (2021)
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR (2021)
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
Conditional Object-Centric Learning from Video. CoRR (2021)
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR (2021)
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
MLP-Mixer: An all-MLP Architecture for Vision. CoRR (2021)
Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
Differentiable Patch Selection for Image Recognition. CVPR (2021)
Alexey Dosovitskiy, Josip Djolonga
You Only Train Once: Loss-Conditional Training of Deep Networks. ICLR (2020)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36 (1) (2020)
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
Object-Centric Learning with Slot Attention. NeurIPS (2020)
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
Learning Object-Centric Video Models by Contrasting Sets. CoRR (2020)
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
Learning Depth via Interaction. CoRR (2020)
Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. 5 (4) (2020)
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
Object-Centric Learning with Slot Attention. CoRR (2020)
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR (2020)
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CoRR (2020)
Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
Learning agile and dynamic motor skills for legged robots. CoRR (2019)
Lorenz Wellhausen, Alexey Dosovitskiy, René Ranftl, Krzysztof Walas, Cesar Cadena, Marco Hutter
Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning. IEEE Robotics Autom. Lett. 4 (2) (2019)
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
Frequency-Aware Model Predictive Control. IEEE Robotics Autom. Lett. 4 (2) (2019)
Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart
Learning to Predict the Wind for Safe Aerial Vehicle Planning. ICRA (2019)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR (2019)
Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby
The Visual Task Adaptation Benchmark. CoRR (2019)
Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun
Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR (2019)
Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
Learning agile and dynamic motor skills for legged robots. Sci. Robotics 4 (26) (2019)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA (2019)
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR (2019)
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
Driving Policy Transfer via Modularity and Abstraction. CoRL (2018)
Eldar Insafutdinov, Alexey Dosovitskiy
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. CoRR (2018)
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR (2018)
Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126 (9) (2018)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-based Driving Models. CoRR (2018)
Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
Frequency-Aware Model Predictive Control. CoRR (2018)
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) (2018)
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL (2018)
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR (2018)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR (2018)
Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
Semi-parametric Topological Memory for Navigation. CoRR (2018)
Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
Semi-parametric topological memory for navigation. ICLR (Poster) (2018)
Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
End-to-End Driving Via Conditional Imitation Learning. ICRA (2018)
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
Artistic Style Transfer for Videos and Spherical Images. Int. J. Comput. Vis. 126 (11) (2018)
Eldar Insafutdinov, Alexey Dosovitskiy
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. NeurIPS (2018)
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL (2018)
Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir Roshan Zamir
On Evaluation of Embodied Navigation Agents. CoRR (2018)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) (2018)
Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
Driving Policy Transfer via Modularity and Abstraction. CoRR (2018)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRR (2017)
Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
End-to-end Driving via Conditional Imitation Learning. CoRR (2017)
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR (2017)
Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox
Learning to Generate Chairs, Tables and Cars with Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR (2017)
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR (2017)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRL (2017)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR (2017)
Alexey Dosovitskiy, Vladlen Koltun
Learning to Act by Predicting the Future. ICLR (2017)
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
Artistic style transfer for videos and spherical images. CoRR (2017)
Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR (2017)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV (2017)
Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS (2016)
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR (2016)
Alexey Dosovitskiy, Vladlen Koltun
Learning to Act by Predicting the Future. CoRR (2016)
Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR (2016)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) (2016)
Alexey Dosovitskiy, Thomas Brox
Generating Images with Perceptual Similarity Metrics based on Deep Networks. NIPS (2016)
Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging 35 (5) (2016)
Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR (2016)
Alexey Dosovitskiy, Thomas Brox
Generating Images with Perceptual Similarity Metrics based on Deep Networks. CoRR (2016)
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
Artistic Style Transfer for Videos. GCPR (2016)
Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR (2016)
Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
Artistic style transfer for videos. CoRR (2016)
Alexey Dosovitskiy, Thomas Brox
Inverting Visual Representations with Convolutional Networks. CVPR (2016)
Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR (2016)
Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS (2016)
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
FlowNet: Learning Optical Flow with Convolutional Networks. ICCV (2015)
Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR (2015)
Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
Learning to generate chairs with convolutional neural networks. CVPR (2015)
Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Sämann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gómez, Axel Haase, Thomas Brox, Daniel Cremers
q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) (2015)
Alexey Dosovitskiy, Thomas Brox
Inverting Convolutional Networks with Convolutional Networks. CoRR (2015)
Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR (2015)
Philipp Fischer, Alexey Dosovitskiy, Thomas Brox
Image Orientation Estimation with Convolutional Networks. GCPR (2015)
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
FlowNet: Learning Optical Flow with Convolutional Networks. CoRR (2015)
Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. SIAM J. Imaging Sci. 8 (1) (2015)
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller
Striving for Simplicity: The All Convolutional Net. ICLR (Workshop) (2015)
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. CoRR (2014)
Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
Learning to Generate Chairs with Convolutional Neural Networks. CoRR (2014)
Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) (2014)
Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. NIPS (2014)
Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR (2013)