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Alexey Dosovitskiy
Alexey Dosovitskiy
Inceptive
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Titel
Zitiert von
Zitiert von
Jahr
An image is worth 16x16 words: Transformers for image recognition at scale
A Dosovitskiy, L Beyer, A Kolesnikov, D Weissenborn, X Zhai, ...
arXiv preprint arXiv:2010.11929, 2020
377532020
Striving for simplicity: The all convolutional net
JT Springenberg, A Dosovitskiy, T Brox, M Riedmiller
arXiv preprint arXiv:1412.6806, 2014
57442014
CARLA: An open urban driving simulator
A Dosovitskiy, G Ros, F Codevilla, A Lopez, V Koltun
Conference on Robot Learning (CoRL), 2017
54802017
Flownet: Learning optical flow with convolutional networks
A Dosovitskiy, P Fischer, E Ilg, P Hausser, C Hazirbas, V Golkov, ...
Proceedings of the IEEE international conference on computer vision, 2758-2766, 2015
4992*2015
Flownet 2.0: Evolution of optical flow estimation with deep networks
E Ilg, N Mayer, T Saikia, M Keuper, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
36292017
A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
N Mayer, E Ilg, P Hausser, P Fischer, D Cremers, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
29352016
Mlp-mixer: An all-mlp architecture for vision
IO Tolstikhin, N Houlsby, A Kolesnikov, L Beyer, X Zhai, T Unterthiner, ...
Advances in neural information processing systems 34, 24261-24272, 2021
22872021
Discriminative unsupervised feature learning with convolutional neural networks
A Dosovitskiy, JT Springenberg, M Riedmiller, T Brox
Advances in neural information processing systems 27, 2014
19592014
Generating images with perceptual similarity metrics based on deep networks
A Dosovitskiy, T Brox
Advances in neural information processing systems 29, 2016
12972016
Learning agile and dynamic motor skills for legged robots
J Hwangbo, J Lee, A Dosovitskiy, D Bellicoso, V Tsounis, V Koltun, ...
Science Robotics 4 (26), eaau5872, 2019
12122019
Nerf in the wild: Neural radiance fields for unconstrained photo collections
R Martin-Brualla, N Radwan, MSM Sajjadi, JT Barron, A Dosovitskiy, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12062021
End-to-end driving via conditional imitation learning
F Codevilla, M Müller, A López, V Koltun, A Dosovitskiy
International Conference on Robotics and Automation (ICRA), 2017
11872017
Plug & play generative networks: Conditional iterative generation of images in latent space
A Nguyen, J Clune, Y Bengio, A Dosovitskiy, J Yosinski
Proceedings of the IEEE conference on computer vision and pattern …, 2017
9702017
Do vision transformers see like convolutional neural networks?
M Raghu, T Unterthiner, S Kornblith, C Zhang, A Dosovitskiy
Advances in neural information processing systems 34, 12116-12128, 2021
8762021
Inverting visual representations with convolutional networks
A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2016
862*2016
Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
M Tatarchenko, A Dosovitskiy, T Brox
Proceedings of the IEEE international conference on computer vision, 2088-2096, 2017
8472017
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
A Nguyen, A Dosovitskiy, J Yosinski, T Brox, J Clune
Advances in neural information processing systems 29, 2016
8172016
Learning to generate chairs with convolutional neural networks
A Dosovitskiy, J Tobias Springenberg, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2015
8102015
Demon: Depth and motion network for learning monocular stereo
B Ummenhofer, H Zhou, J Uhrig, N Mayer, E Ilg, A Dosovitskiy, T Brox
Proceedings of the IEEE conference on computer vision and pattern …, 2017
8002017
Object-centric learning with slot attention
F Locatello, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
Advances in neural information processing systems 33, 11525-11538, 2020
6852020
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