Alexey Dosovitskiy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
7
Active years
2013–2022
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CVPR | Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. | 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 |
| 2022 | ECCV | Simple Open-Vocabulary Object Detection. | 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 |
| 2022 | ICLR | Conditional Object-Centric Learning from Video. | Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff |
| 2021 | CVPR | Differentiable Patch Selection for Image Recognition. | Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner |
| 2021 | CVPR | NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. | Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth |
| 2021 | ICLR | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. | Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby |
| 2020 | ICLR | You Only Train Once: Loss-Conditional Training of Deep Networks. | Alexey Dosovitskiy, Josip Djolonga |
| 2019 | ICRA | Learning to Predict the Wind for Safe Aerial Vehicle Planning. | Florian Achermann, Nicholas R. J. Lawrance, Ren Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart |
| 2019 | ICRA | Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. | Elia Kaufmann, Mathias Gehrig, Philipp Foehn, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2018 | CoRL | Motion Perception in Reinforcement Learning with Dynamic Objects. | Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox |
| 2018 | CoRL | Deep Drone Racing: Learning Agile Flight in Dynamic Environments. | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2018 | CoRL | Driving Policy Transfer via Modularity and Abstraction. | Matthias Mller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun |
| 2018 | ECCV | On Offline Evaluation of Vision-Based Driving Models. | Felipe Codevilla, Antonio M. Lpez, Vladlen Koltun, Alexey Dosovitskiy |
| 2018 | ICLR | TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. | Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox |
| 2018 | ICLR | Semi-parametric topological memory for navigation. | Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun |
| 2018 | ICRA | End-to-End Driving Via Conditional Imitation Learning. | Felipe Codevilla, Matthias Mller, Antonio M. Lpez, Vladlen Koltun, Alexey Dosovitskiy |
| 2017 | CoRL | CARLA: An Open Urban Driving Simulator. | Alexey Dosovitskiy, Germn Ros, Felipe Codevilla, Antonio M. Lpez, Vladlen Koltun |
| 2017 | CVPR | FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. | Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox |
| 2017 | CVPR | Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. | Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski |
| 2017 | CVPR | DeMoN: Depth and Motion Network for Learning Monocular Stereo. | Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox |
| 2017 | ICCV | Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. | Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox |
| 2017 | ICLR | Learning to Act by Predicting the Future. | Alexey Dosovitskiy, Vladlen Koltun |
| 2016 | CVPR | Inverting Visual Representations with Convolutional Networks. | Alexey Dosovitskiy, Thomas Brox |
| 2016 | CVPR | A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. | Nikolaus Mayer, Eddy Ilg, Philip Husser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox |
| 2016 | ECCV | Multi-view 3D Models from Single Images with a Convolutional Network. | Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox |
| 2015 | CVPR | Learning to generate chairs with convolutional neural networks. | Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox |
| 2015 | ICCV | FlowNet: Learning Optical Flow with Convolutional Networks. | Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Husser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox |
| 2015 | MICCAI | q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. | Vladimir Golkov, Alexey Dosovitskiy, Philipp G. Smann, Jonathan I. Sperl, Tim Sprenger, Michael Czisch, Marion I. Menzel, Pedro A. Gmez, Axel Haase, Thomas Brox, Daniel Cremers |
| 2013 | CVPR | An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. | Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock |