Dosovitskiy, Alexey

38 publications

NeurIPS 2025 Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata

NeurIPS 2024 Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf

NeurIPS 2024 ReNO: Enhancing One-Step Text-to-Image Models Through Reward-Based Noise Optimization Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata

ICLR 2022 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

CVPR 2022 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 Lučić, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi

ECCV 2022 Simple Open-Vocabulary Object Detection with Vision Transformers Matthias Minderer, Alexey 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

ICLR 2021 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

CVPR 2021 Differentiable Patch Selection for Image Recognition Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner

NeurIPS 2021 Do Vision Transformers See like Convolutional Neural Networks? Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy

NeurIPS 2021 MLP-Mixer: An All-MLP Architecture for Vision 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

CVPR 2021 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

NeurIPS 2020 Object-Centric Learning with Slot Attention Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf

ICLR 2020 You Only Train Once: Loss-Conditional Training of Deep Networks Alexey Dosovitskiy, Josip Djolonga

CoRL 2018 Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

CoRL 2018 Driving Policy Transfer via Modularity and Abstraction Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

CoRL 2018 Motion Perception in Reinforcement Learning with Dynamic Objects Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

ECCV 2018 On Offline Evaluation of Vision-Based Driving Models Felipe Codevilla, Antonio M. Lopez, Vladlen Koltun, Alexey Dosovitskiy

ICLR 2018 Semi-Parametric Topological Memory for Navigation Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun

ICLR 2018 TD or Not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

NeurIPS 2018 Unsupervised Learning of Shape and Pose with Differentiable Point Clouds Eldar Insafutdinov, Alexey Dosovitskiy

CoRL 2017 CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun

CVPR 2017 DeMoN: Depth and Motion Network for Learning Monocular Stereo Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox

CVPR 2017 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox

ICLR 2017 Learning to Act by Predicting the Future Alexey Dosovitskiy, Vladlen Koltun

ICCV 2017 Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox

CVPR 2017 Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski

CVPR 2016 A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox

NeurIPS 2016 Generating Images with Perceptual Similarity Metrics Based on Deep Networks Alexey Dosovitskiy, Thomas Brox

CVPR 2016 Inverting Visual Representations with Convolutional Networks Alexey Dosovitskiy, Thomas Brox

ECCV 2016 Multi-View 3D Models from Single Images with a Convolutional Network Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox

NeurIPS 2016 Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images Vladimir Golkov, Marcin J Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers

NeurIPS 2016 Synthesizing the Preferred Inputs for Neurons in Neural Networks via Deep Generator Networks Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune

ICCV 2015 FlowNet: Learning Optical Flow with Convolutional Networks Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox

CVPR 2015 Learning to Generate Chairs with Convolutional Neural Networks Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox

ICLR 2015 Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller

NeurIPS 2014 Discriminative Unsupervised Feature Learning with Convolutional Neural Networks Alexey Dosovitskiy, Jost Tobias Springenberg, Martin Riedmiller, Thomas Brox

ICLR 2014 Unsupervised Feature Learning by Augmenting Single Images Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox

CVPR 2013 An Iterated L1 Algorithm for Non-Smooth Non-Convex Optimization in Computer Vision Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock