Alexey Dosovitskiy

Computer Science · Physical Sciences

50h-index47.0kcitations92works0.32yr avg
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Research Topics

Advanced Neural Network Applications(22), Advanced Vision and Imaging(21), Advanced Image and Video Retrieval Techniques(20), Domain Adaptation and Few-Shot Learning(19), Generative Adversarial Networks and Image Synthesis(15)

Publications92 total

Moving Off-the-Grid: Scene-Grounded Video Representations
arXiv (Cornell University)·2024· 1 citedOpen Access
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
arXiv (Cornell University)·2024Open Access
Moving Off-the-Grid: Scene-Grounded Video Representations
2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
2024
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 96 cited
Simple Open-Vocabulary Object Detection with Vision Transformers
arXiv (Cornell University)·2022· 63 citedOpen Access
Simple Open-Vocabulary Object Detection
Lecture notes in computer science·2022· 241 cited
MLP-Mixer: An all-MLP Architecture for Vision
arXiv (Cornell University)·2021· 2 citedOpen Access
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
arXiv (Cornell University)·2021Open Access
Conditional Object-Centric Learning from Video
arXiv (Cornell University)·2021Open Access
Do Vision Transformers See Like Convolutional Neural Networks?
arXiv (Cornell University)·2021· 109 citedOpen Access
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
2021· 134 citedOpen Access
Differentiable Patch Selection for Image Recognition
2021· 9 citedOpen Access
MLP-Mixer: An all-MLP Architecture for Vision
arXiv (Cornell University)·2021· 1.4k citedOpen Access
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
International Conference on Learning Representations·2021· 556 cited
Learning Object-Centric Video Models by Contrasting Sets
arXiv (Cornell University)·2020· 1 citedOpen Access
Learning Object-Centric Video Models by Contrasting Sets
arXiv (Cornell University)·2020· 5 citedOpen Access
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
arXiv (Cornell University)·2020· 21.2k citedOpen Access
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo\n Collections
arXiv (Cornell University)·2020· 1 citedOpen Access
Learning Depth With Very Sparse Supervision
IEEE Robotics and Automation Letters·2020· 2 citedOpen Access
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Frequent Co-authors

Thomas Brox(24), Vladlen Koltun(12), Dirk Weissenborn(6), Xiaohua Zhai(6), Thomas Unterthiner(6), Jakob Uszkoreit(6), Neil Houlsby(6), Philipp Fischer(6), Eddy Ilg(5), Jost Tobias Springenberg(5), Lucas Beyer(4), Alexander Kolesnikov(4), Mostafa Dehghani(4), Matthias Minderer(4), Georg Heigold(4), Daniel Cremers(4), Felipe Codevilla(4), Matthias Müller(4), Antonio M. López(4), Maxim Tatarchenko(4)