Alexey Dosovitskiy

101 papers A* 24Misc 4Journal 58Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models. CoRR Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata
2024	A*	`conf`	Moving Off-the-Grid: Scene-Grounded Video Representations. NeurIPS 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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	J	`jnl`	Moving Off-the-Grid: Scene-Grounded Video Representations. CoRR 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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024	A*	`conf`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. NeurIPS Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2024	J	`jnl`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2022	A*	`conf`	Conditional Object-Centric Learning from Video. ICLR Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2022	A*	`conf`	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR 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	J	`jnl`	Simple Open-Vocabulary Object Detection with Vision Transformers. CoRR 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	—	`conf`	Simple Open-Vocabulary Object Detection. ECCV (10) 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
2021	A*	`conf`	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
2021	J	`jnl`	Conditional Object-Centric Learning from Video. CoRR Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2021	A*	`conf`	Differentiable Patch Selection for Image Recognition. CVPR Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021	J	`jnl`	Differentiable Patch Selection for Image Recognition. CoRR Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner
2021	A*	`conf`	Do Vision Transformers See Like Convolutional Neural Networks? NeurIPS Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021	J	`jnl`	Do Vision Transformers See Like Convolutional Neural Networks? CoRR Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
2021	A*	`conf`	MLP-Mixer: An all-MLP Architecture for Vision. NeurIPS 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
2021	J	`jnl`	MLP-Mixer: An all-MLP Architecture for Vision. CoRR 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
2021	A*	`conf`	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CVPR Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
2021	J	`jnl`	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR 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
2020	J	`jnl`	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR 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	J	`jnl`	Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2020	J	`jnl`	Learning Depth With Very Sparse Supervision. IEEE Robotics Autom. Lett. Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
2020	J	`jnl`	Learning Depth via Interaction. CoRR Antonio Loquercio, Alexey Dosovitskiy, Davide Scaramuzza
2020	J	`jnl`	Learning Object-Centric Video Models by Contrasting Sets. CoRR Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
2020	J	`jnl`	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. CoRR Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth
2020	A*	`conf`	Object-Centric Learning with Slot Attention. NeurIPS Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020	J	`jnl`	Object-Centric Learning with Slot Attention. CoRR Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf
2020	A*	`conf`	You Only Train Once: Loss-Conditional Training of Deep Networks. ICLR Alexey Dosovitskiy, Josip Djolonga
2019	A*	`conf`	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019	J	`jnl`	Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun
2019	J	`jnl`	Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019	J	`jnl`	Frequency-Aware Model Predictive Control. IEEE Robotics Autom. Lett. Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
2019	J	`jnl`	Learning agile and dynamic motor skills for legged robots. CoRR Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
2019	J	`jnl`	Learning agile and dynamic motor skills for legged robots. Sci. Robotics Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
2019	A*	`conf`	Learning to Predict the Wind for Safe Aerial Vehicle Planning. ICRA Florian Achermann, Nicholas R. J. Lawrance, René Ranftl, Alexey Dosovitskiy, Jen Jen Chung, Roland Siegwart
2019	J	`jnl`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	The Visual Task Adaptation Benchmark. CoRR 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
2019	J	`jnl`	Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning. IEEE Robotics Autom. Lett. Lorenz Wellhausen, Alexey Dosovitskiy, René Ranftl, Krzysztof Walas, Cesar Cadena, Marco Hutter
2018	J	`jnl`	Artistic Style Transfer for Videos and Spherical Images. Int. J. Comput. Vis. Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2018	J	`jnl`	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	Misc	`conf`	Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	J	`jnl`	Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	Misc	`conf`	Driving Policy Transfer via Modularity and Abstraction. CoRL Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	J	`jnl`	Driving Policy Transfer via Modularity and Abstraction. CoRR Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	A*	`conf`	End-to-End Driving Via Conditional Imitation Learning. ICRA Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	Frequency-Aware Model Predictive Control. CoRR Ruben Grandia, Farbod Farshidian, Alexey Dosovitskiy, René Ranftl, Marco Hutter
2018	Misc	`conf`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	J	`jnl`	On Evaluation of Embodied Navigation Agents. CoRR 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
2018	—	`conf`	On Offline Evaluation of Vision-Based Driving Models. ECCV (15) Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	On Offline Evaluation of Vision-based Driving Models. CoRR Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	Semi-parametric Topological Memory for Navigation. CoRR Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2018	—	`conf`	Semi-parametric topological memory for navigation. ICLR (Poster) Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2018	—	`conf`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	J	`jnl`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	A*	`conf`	Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. NeurIPS Eldar Insafutdinov, Alexey Dosovitskiy
2018	J	`jnl`	Unsupervised Learning of Shape and Pose with Differentiable Point Clouds. CoRR Eldar Insafutdinov, Alexey Dosovitskiy
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018	J	`jnl`	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2017	J	`jnl`	Artistic style transfer for videos and spherical images. CoRR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2017	Misc	`conf`	CARLA: An Open Urban Driving Simulator. CoRL Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
2017	J	`jnl`	CARLA: An Open Urban Driving Simulator. CoRR Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
2017	A*	`conf`	DeMoN: Depth and Motion Network for Learning Monocular Stereo. CVPR Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2017	J	`jnl`	End-to-end Driving via Conditional Imitation Learning. CoRR Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
2017	A*	`conf`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2017	—	`conf`	Learning to Act by Predicting the Future. ICLR Alexey Dosovitskiy, Vladlen Koltun
2017	J	`jnl`	Learning to Generate Chairs, Tables and Cars with Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Alexey Dosovitskiy, Jost Tobias Springenberg, Maxim Tatarchenko, Thomas Brox
2017	J	`jnl`	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun
2017	A*	`conf`	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. ICCV Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2017	J	`jnl`	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs. CoRR Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2017	A*	`conf`	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski
2016	A*	`conf`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Artistic Style Transfer for Videos. GCPR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Artistic style transfer for videos. CoRR Manuel Ruder, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	DeMoN: Depth and Motion Network for Learning Monocular Stereo. CoRR Benjamin Ummenhofer, Huizhong Zhou, Jonas Uhrig, Nikolaus Mayer, Eddy Ilg, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2016	J	`jnl`	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CoRR Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, Thomas Brox
2016	—	`conf`	Generating Images with Perceptual Similarity Metrics based on Deep Networks. NIPS Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Generating Images with Perceptual Similarity Metrics based on Deep Networks. CoRR Alexey Dosovitskiy, Thomas Brox
2016	A*	`conf`	Inverting Visual Representations with Convolutional Networks. CVPR Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Learning to Act by Predicting the Future. CoRR Alexey Dosovitskiy, Vladlen Koltun
2016	—	`conf`	Multi-view 3D Models from Single Images with a Convolutional Network. ECCV (7) Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2016	J	`jnl`	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune
2016	—	`conf`	Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images. NIPS Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
2016	—	`conf`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. IEEE Trans. Medical Imaging Vladimir Golkov, Alexey Dosovitskiy, Jonathan I. Sperl, Marion I. Menzel, Michael Czisch, Philipp G. Sämann, Thomas Brox, Daniel Cremers
2015	J	`jnl`	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2015	A*	`conf`	FlowNet: Learning Optical Flow with Convolutional Networks. ICCV Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	J	`jnl`	FlowNet: Learning Optical Flow with Convolutional Networks. CoRR Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox
2015	—	`conf`	Image Orientation Estimation with Convolutional Networks. GCPR Philipp Fischer, Alexey Dosovitskiy, Thomas Brox
2015	J	`jnl`	Inverting Convolutional Networks with Convolutional Networks. CoRR Alexey Dosovitskiy, Thomas Brox
2015	A*	`conf`	Learning to generate chairs with convolutional neural networks. CVPR Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2015	J	`jnl`	On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision. SIAM J. Imaging Sci. Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock
2015	J	`jnl`	Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network. CoRR Maxim Tatarchenko, Alexey Dosovitskiy, Thomas Brox
2015	—	`conf`	Striving for Simplicity: The All Convolutional Net. ICLR (Workshop) Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, Martin A. Riedmiller
2015	—	`conf`	q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans. MICCAI (1) 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
2014	—	`conf`	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. NIPS Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2014	J	`jnl`	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks. CoRR Alexey Dosovitskiy, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox
2014	J	`jnl`	Learning to Generate Chairs with Convolutional Neural Networks. CoRR Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2014	—	`conf`	Unsupervised feature learning by augmenting single images. ICLR (Workshop Poster) Alexey Dosovitskiy, Jost Tobias Springenberg, Thomas Brox
2013	A*	`conf`	An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision. CVPR Peter Ochs, Alexey Dosovitskiy, Thomas Brox, Thomas Pock