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Alexey Dosovitskiy
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- affiliation: Albert-Ludwigs-University, Freiburg, Germany
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2020 – today
- 2024
- [i45]Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata:
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR abs/2406.04312 (2024) - 2022
- [c41]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: 6219-6228 - [c40]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: 728-755 - [c39]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 - [i44]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 abs/2205.06230 (2022) - 2021
- [c38]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
:
Differentiable Patch Selection for Image Recognition. CVPR 2021: 2351-2360 - [c37]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: 7210-7219 - [c36]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 - [c35]Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS 2021: 12116-12128 - [c34]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: 24261-24272 - [i43]Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner:
Differentiable Patch Selection for Image Recognition. CoRR abs/2104.03059 (2021) - [i42]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 abs/2105.01601 (2021) - [i41]Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy:
Do Vision Transformers See Like Convolutional Neural Networks? CoRR abs/2108.08810 (2021) - [i40]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 abs/2111.12594 (2021) - [i39]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 abs/2111.13152 (2021) - 2020
- [j11]Antonio Loquercio
, Alexey Dosovitskiy
, Davide Scaramuzza
:
Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. 5(4): 5542-5549 (2020) - [j10]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): 1-14 (2020) - [c33]Alexey Dosovitskiy, Josip Djolonga:
You Only Train Once: Loss-Conditional Training of Deep Networks. ICLR 2020 - [c32]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. NeurIPS 2020 - [i38]Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza:
Learning Depth via Interaction. CoRR abs/2003.00752 (2020) - [i37]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020) - [i36]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 abs/2008.02268 (2020) - [i35]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 abs/2010.11929 (2020) - [i34]Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf:
Learning Object-Centric Video Models by Contrasting Sets. CoRR abs/2011.10287 (2020)
2010 – 2019
- 2019
- [j9]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): 1509-1516 (2019) - [j8]Ruben Grandia
, Farbod Farshidian
, Alexey Dosovitskiy
, René Ranftl
, Marco Hutter
:
Frequency-Aware Model Predictive Control. IEEE Robotics Autom. Lett. 4(2): 1517-1524 (2019) - [j7]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) - [c31]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: 690-696 - [c30]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: 2311-2317 - [i33]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR abs/1901.03162 (2019) - [i32]Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. CoRR abs/1901.08652 (2019) - [i31]Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun:
Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR abs/1901.10915 (2019) - [i30]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - [i29]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 abs/1910.04867 (2019) - 2018
- [j6]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): 942-960 (2018) - [j5]Manuel Ruder
, Alexey Dosovitskiy, Thomas Brox:
Artistic Style Transfer for Videos and Spherical Images. Int. J. Comput. Vis. 126(11): 1199-1219 (2018) - [c29]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRL 2018: 1-15 - [c28]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c27]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL 2018: 156-168 - [c26]Felipe Codevilla, Antonio M. López
, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) 2018: 246-262 - [c25]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 - [c24]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric topological memory for navigation. ICLR (Poster) 2018 - [c23]Felipe Codevilla, Matthias Müller, Antonio M. López
, Vladlen Koltun, Alexey Dosovitskiy:
End-to-End Driving Via Conditional Imitation Learning. ICRA 2018: 1-9 - [c22]Eldar Insafutdinov, Alexey Dosovitskiy:
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. NeurIPS 2018: 2807-2817 - [i28]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 abs/1801.06397 (2018) - [i27]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric Topological Memory for Navigation. CoRR abs/1803.00653 (2018) - [i26]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem
, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRR abs/1804.09364 (2018) - [i25]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR abs/1806.01175 (2018) - [i24]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i23]Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i22]Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter:
Frequency-Aware Model Predictive Control. CoRR abs/1809.04539 (2018) - [i21]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-based Driving Models. CoRR abs/1809.04843 (2018) - [i20]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 abs/1810.06224 (2018) - [i19]Eldar Insafutdinov, Alexey Dosovitskiy:
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. CoRR abs/1810.09381 (2018) - 2017
- [j4]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): 692-705 (2017) - [c21]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRL 2017: 1-16 - [c20]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: 1647-1655 - [c19]Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski:
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR 2017: 3510-3520 - [c18]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: 5622-5631 - [c17]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV 2017: 2107-2115 - [c16]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. ICLR 2017 - [i18]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR abs/1703.09438 (2017) - [i17]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic style transfer for videos and spherical images. CoRR abs/1708.04538 (2017) - [i16]Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun:
End-to-end Driving via Conditional Imitation Learning. CoRR abs/1710.02410 (2017) - [i15]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRR abs/1711.03938 (2017) - [i14]Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun:
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR abs/1712.03931 (2017) - 2016
- [j3]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): 1734-1747 (2016) - [j2]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): 1344-1351 (2016) - [c15]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: 4040-4048 - [c14]Alexey Dosovitskiy, Thomas Brox:
Inverting Visual Representations with Convolutional Networks. CVPR 2016: 4829-4837 - [c13]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic Style Transfer for Videos. GCPR 2016: 26-36 - [c12]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) 2016: 322-337 - [c11]Alexey Dosovitskiy, Thomas Brox:
Generating Images with Perceptual Similarity Metrics based on Deep Networks. NIPS 2016: 658-666 - [c10]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: 3387-3395 - [c9]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: 4215-4223 - [i13]Alexey Dosovitskiy, Thomas Brox:
Generating Images with Perceptual Similarity Metrics based on Deep Networks. CoRR abs/1602.02644 (2016) - [i12]Manuel Ruder, Alexey Dosovitskiy, Thomas Brox:
Artistic style transfer for videos. CoRR abs/1604.08610 (2016) - [i11]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 abs/1605.09304 (2016) - [i10]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. CoRR abs/1611.01779 (2016) - [i9]Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune:
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR abs/1612.00005 (2016) - [i8]Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox:
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR abs/1612.01925 (2016) - [i7]Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox:
DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR abs/1612.02401 (2016) - 2015
- [j1]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): 331-372 (2015) - [c8]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Learning to generate chairs with convolutional neural networks. CVPR 2015: 1538-1546 - [c7]Philipp Fischer, Alexey Dosovitskiy, Thomas Brox:
Image Orientation Estimation with Convolutional Networks. GCPR 2015: 368-378 - [c6]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: 2758-2766 - [c5]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: 37-44 - [c4]Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller:
Striving for Simplicity: The All Convolutional Net. ICLR (Workshop) 2015 - [i6]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 abs/1504.06852 (2015) - [i5]Alexey Dosovitskiy, Thomas Brox:
Inverting Convolutional Networks with Convolutional Networks. CoRR abs/1506.02753 (2015) - [i4]Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox:
Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR abs/1511.06702 (2015) - [i3]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 abs/1512.02134 (2015) - 2014
- [c3]Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. NIPS 2014: 766-774 - [c2]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) 2014 - [i2]Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. CoRR abs/1406.6909 (2014) - [i1]Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox:
Learning to Generate Chairs with Convolutional Neural Networks. CoRR abs/1411.5928 (2014) - 2013
- [c1]Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock:
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR 2013: 1759-1766
Coauthor Index
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