Alexey Dosovitskiy

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All published works

Action	Title	Year	Authors
+ PDF Chat	Moving Off-the-Grid: Scene-Grounded Video Representations	2024	Sjoerd van Steenkiste Daniel Zoran Yongqiang Yang Yulia Rubanova Rishabh Kabra Carl Doersch Dilara Gokay Joseph Heyward Etienne Pot Klaus Greff
+ PDF Chat	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization	2024	Luca Eyring Shyamgopal Karthik Karsten Roth Alexey Dosovitskiy Zeynep Akata
+ PDF Chat	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations	2022	Mehdi S. M. Sajjadi Henning Meyer Etienne Pot Urs Bergmann Klaus Greff Noha Radwan Suhani Vora Mario Lučić Daniel Duckworth Alexey Dosovitskiy
+	Simple Open-Vocabulary Object Detection with Vision Transformers	2022	Matthias Minderer Alexey A. Gritsenko Austin V. Stone Maxim Neumann Dirk Weissenborn Alexey Dosovitskiy Aravindh Mahendran Anurag Arnab Mostafa Dehghani Zhuoran Shen
+	MLP-Mixer: An all-MLP Architecture for Vision	2021	Ilya Tolstikhin Neil Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai Thomas Unterthiner Jessica Yung Andreas Steiner Daniel Keysers Jakob Uszkoreit
+	Conditional Object-Centric Learning from Video	2021	Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone Sara Sabour Georg Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff
+	Do Vision Transformers See Like Convolutional Neural Networks	2021	Maithra Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy
+ PDF Chat	Differentiable Patch Selection for Image Recognition	2021	Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner
+ PDF Chat	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections	2021	Ricardo Martin-Brualla Noha Radwan Mehdi S. M. Sajjadi Jonathan T. Barron Alexey Dosovitskiy Daniel Duckworth
+	Differentiable Patch Selection for Image Recognition	2021	Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner
+	MLP-Mixer: An all-MLP Architecture for Vision	2021	Ilya Tolstikhin Neil Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai Thomas Unterthiner Jessica Yung Andreas Steiner Daniel Keysers Jakob Uszkoreit
+	Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations	2021	Mehdi S. M. Sajjadi Henning Meyer Etienne Pot Urs Bergmann Klaus Greff Noha Radwan Suhani Vora Mario Lučić Daniel Duckworth Alexey Dosovitskiy
+	Conditional Object-Centric Learning from Video	2021	Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin V. Stone Sara Sabour Georg Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff
+	Do Vision Transformers See Like Convolutional Neural Networks?	2021	Maithra Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy
+	Differentiable Patch Selection for Image Recognition	2021	Jean-Baptiste Cordonnier Aravindh Mahendran Alexey Dosovitskiy Dirk Weissenborn Jakob Uszkoreit Thomas Unterthiner
+	Learning Object-Centric Video Models by Contrasting Sets.	2020	Sindy Löwe Klaus Greff Rico Jonschkowski Alexey Dosovitskiy Thomas Kipf
+	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections	2020	Ricardo Martin-Brualla Noha Radwan Mehdi S. M. Sajjadi Jonathan T. Barron Alexey Dosovitskiy Daniel Duckworth
+ PDF Chat	Learning Depth With Very Sparse Supervision	2020	Antonio Loquercio Alexey Dosovitskiy Davide Scaramuzza
+	Learning Depth via Interaction.	2020	Antonio Loquercio Alexey Dosovitskiy Davide Scaramuzza
+	Object-Centric Learning with Slot Attention	2020	Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran Georg Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly
+	Learning Object-Centric Video Models by Contrasting Sets	2020	Sindy Löwe Klaus Greff Rico Jonschkowski Alexey Dosovitskiy Thomas Kipf
+	NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections	2020	Ricardo Martin-Brualla Noha Radwan Mehdi S. M. Sajjadi Jonathan T. Barron Alexey Dosovitskiy Daniel Duckworth
+ PDF Chat	Deep Drone Racing: From Simulation to Reality With Domain Randomization	2019	Antonio Loquercio Elia Kaufmann René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	The Visual Task Adaptation Benchmark	2019	Xiaohua Zhai Joan Puigcerver Alexander Kolesnikov Pierre Ruyssen Carlos Riquelme Mario Lučić Josip Djolonga André Susano Pinto Maxim Neumann Alexey Dosovitskiy
+ PDF Chat	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing	2019	Elia Kaufmann Mathias Gehrig Philipp Foehn René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	Benchmarking Classic and Learned Navigation in Complex 3D Environments.	2019	Dmytro Mishkin Alexey Dosovitskiy Vladlen Koltun
+ PDF Chat	Frequency-Aware Model Predictive Control	2019	Ruben Grandia Farbod Farshidian Alexey Dosovitskiy René Ranftl Marco Hutter
+	Learning agile and dynamic motor skills for legged robots	2019	Jemin Hwangbo Joonho Lee Alexey Dosovitskiy C. Dario Bellicoso Vassilios Tsounis Vladlen Koltun Marco Hutter
+	Motion Perception in Reinforcement Learning with Dynamic Objects	2019	Artemij Amiranashvili Alexey Dosovitskiy Vladlen Koltun Thomas Brox
+	A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark	2019	Xiaohua Zhai Joan Puigcerver Alexander Kolesnikov Pierre Ruyssen Carlos Riquelme Mario Lučić Josip Djolonga André Susano Pinto Maxim Neumann Alexey Dosovitskiy
+	Benchmarking Classic and Learned Navigation in Complex 3D Environments	2019	Dmytro Mishkin Alexey Dosovitskiy Vladlen Koltun
+	Unsupervised Learning of Shape and Pose with Differentiable Point Clouds.	2018	Eldar Insafutdinov Alexey Dosovitskiy
+	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing	2018	Elia Kaufmann Mathias Gehrig Philipp Foehn René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	Deep Drone Racing: Learning Agile Flight in Dynamic Environments	2018	Elia Kaufmann Antonio Loquercio René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning	2018	Artemij Amiranashvili Alexey Dosovitskiy Vladlen Koltun Thomas Brox
+ PDF Chat	End-to-End Driving Via Conditional Imitation Learning	2018	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy
+ PDF Chat	Artistic Style Transfer for Videos and Spherical Images	2018	Manuel Ruder Alexey Dosovitskiy Thomas Brox
+ PDF Chat	What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?	2018	N. Michael Mayer Eddy Ilg Philipp Fischer Caner Hazırbaş Daniel Cremers Alexey Dosovitskiy Thomas Brox
+	Semi-parametric Topological Memory for Navigation	2018	Nikolay Savinov Alexey Dosovitskiy Vladlen Koltun
+	Driving Policy Transfer via Modularity and Abstraction	2018	Matthias Müller Alexey Dosovitskiy Bernard Ghanem Vladlen Koltun
+	On Evaluation of Embodied Navigation Agents	2018	Peter Anderson Anne Lynn S. Chang Devendra Singh Chaplot Alexey Dosovitskiy Saurabh Gupta Vladlen Koltun Jana Košecká Jitendra Malik Roozbeh Mottaghi Manolis Savva
+ PDF Chat	On Offline Evaluation of Vision-Based Driving Models	2018	Felipe Codevilla Antonio M. López Vladlen Koltun Alexey Dosovitskiy
+	Deep Drone Racing: Learning Agile Flight in Dynamic Environments	2018	Elia Kaufmann Antonio Loquercio René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	Unsupervised Learning of Shape and Pose with Differentiable Point Clouds	2018	Eldar Insafutdinov Alexey Dosovitskiy
+	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing	2018	Elia Kaufmann Mathias Gehrig Philipp Foehn René Ranftl Alexey Dosovitskiy Vladlen Koltun Davide Scaramuzza
+	On Offline Evaluation of Vision-based Driving Models	2018	Felipe Codevilla Antonio M. López Vladlen Koltun Alexey Dosovitskiy
+	Semi-parametric Topological Memory for Navigation	2018	Nikolay Savinov Alexey Dosovitskiy Vladlen Koltun
+	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning	2018	Artemij Amiranashvili Alexey Dosovitskiy Vladlen Koltun Thomas Brox
+	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments	2017	Manolis Savva Anne Lynn S. Chang Alexey Dosovitskiy Thomas Funkhouser Vladlen Koltun
+	CARLA: An Open Urban Driving Simulator	2017	Alexey Dosovitskiy Germán Ros Felipe Codevilla Antonio M. López Vladlen Koltun
+	End-to-end Driving via Conditional Imitation Learning	2017	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy
+ PDF Chat	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs	2017	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+ PDF Chat	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2017	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox
+ PDF Chat	DeMoN: Depth and Motion Network for Learning Monocular Stereo	2017	Benjamin Ummenhofer Huizhong Zhou Jonas Uhrig N. Michael Mayer Eddy Ilg Alexey Dosovitskiy Thomas Brox
+	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs	2017	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+	CARLA: An Open Urban Driving Simulator	2017	Alexey Dosovitskiy Germán Ros Felipe Codevilla Antonio M. López Vladlen Koltun
+	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments	2017	Manolis Savva Anne Lynn S. Chang Alexey Dosovitskiy Thomas Funkhouser Vladlen Koltun
+	Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs	2017	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+	End-to-end Driving via Conditional Imitation Learning	2017	Felipe Codevilla Matthias Müller Antonio M. López Vladlen Koltun Alexey Dosovitskiy
+	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2016	Eddy Ilg N. Michael Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox
+	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space	2016	Anh‐Tu Nguyen Jeff Clune Yoshua Bengio Alexey Dosovitskiy Jason Yosinski
+ PDF Chat	Inverting Visual Representations with Convolutional Networks	2016	Alexey Dosovitskiy Thomas Brox
+ PDF Chat	A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation	2016	N. Michael Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox
+	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks	2016	Anh Son Nguyen Alexey Dosovitskiy Jason Yosinski Thomas Brox Jeff Clune
+	Generating Images with Perceptual Similarity Metrics based on Deep Networks	2016	Alexey Dosovitskiy Thomas Brox
+ PDF Chat	Learning to Generate Chairs, Tables and Cars with Convolutional Networks	2016	Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox
+	Learning to Act by Predicting the Future	2016	Alexey Dosovitskiy Vladlen Koltun
+ PDF Chat	Artistic Style Transfer for Videos	2016	Manuel Ruder Alexey Dosovitskiy Thomas Brox
+	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks	2016	Anh Nguyen Alexey Dosovitskiy Jason Yosinski Thomas Brox Jeff Clune
+	Generating Images with Perceptual Similarity Metrics based on Deep Networks	2016	Alexey Dosovitskiy Thomas Brox
+	FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks	2016	Eddy Ilg Nikolaus Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox
+	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space	2016	Anh Nguyen Jeff Clune Yoshua Bengio Alexey Dosovitskiy Jason Yosinski
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox
+	Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network	2015	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+	Multi-view 3D Models from Single Images with a Convolutional Network	2015	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+ PDF Chat	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2015	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox
+	Inverting Convolutional Networks with Convolutional Networks.	2015	Alexey Dosovitskiy Thomas Brox
+	Inverting Visual Representations with Convolutional Networks	2015	Alexey Dosovitskiy Thomas Brox
+ PDF Chat	Learning to generate chairs with convolutional neural networks	2015	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox
+	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox
+	On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision	2015	Peter Ochs Alexey Dosovitskiy Thomas Brox Thomas Pock
+	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox
+	Multi-view 3D Models from Single Images with a Convolutional Network	2015	Maxim Tatarchenko Alexey Dosovitskiy Thomas Brox
+	Inverting Visual Representations with Convolutional Networks	2015	Alexey Dosovitskiy Thomas Brox
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox
+	Learning to Generate Chairs with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox
+	Learning to Generate Chairs, Tables and Cars with Convolutional Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox
+	Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT	2014	Philipp Fischer Alexey Dosovitskiy Thomas Brox
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller
+	Learning to Generate Chairs, Tables and Cars with Convolutional Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Maxim Tatarchenko Thomas Brox
+	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2014	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox
+	Unsupervised feature learning by augmenting single images	2013	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox
+	Unsupervised feature learning by augmenting single images	2013	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox

Common Coauthors

Coauthor	Papers Together
Thomas Brox	44
Vladlen Koltun	26
Jost Tobias Springenberg	13
Eddy Ilg	10
Maxim Tatarchenko	9
Jakob Uszkoreit	9
Philipp Fischer	9
Thomas Unterthiner	9
Davide Scaramuzza	8
René Ranftl	7
Aravindh Mahendran	7
Klaus Greff	7
Antonio M. López	7
Felipe Codevilla	7
Thomas Kipf	7
Daniel Cremers	6
Dirk Weissenborn	6
Martin Riedmiller	6
Neil Houlsby	6
Mario Lučić	6
Xiaohua Zhai	6
Mehdi S. M. Sajjadi	6
Elia Kaufmann	6
Caner Hazırbaş	5
Lucas Beyer	5
Philip Häusser	5
Noha Radwan	5
Antonio Loquercio	5
Daniel Duckworth	5
Alexander Kolesnikov	5
N. Michael Mayer	5
Patrick van der Smagt	4
Rico Jonschkowski	4
Jason Yosinski	4
Georg Heigold	4
Vladimir Golkov	4
Jeff Clune	4
Manolis Savva	3
Mathias Gehrig	3
Maxim Neumann	3
Thomas Funkhouser	3
Etienne Pot	3
Anne Lynn S. Chang	3
Margret Keuper	3
Artemij Amiranashvili	3
Jean-Baptiste Cordonnier	3
Sylvain Gelly	3
Philipp Foehn	3
Jonathan T. Barron	3
Tonmoy Saikia	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	27
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	10
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	10
+ PDF Chat	Learning to generate chairs with convolutional neural networks	2015	Alexey Dosovitskiy Jost Tobias Springenberg Thomas Brox	10
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	8
+	Depth Map Prediction from a Single Image using a Multi-Scale Deep Network	2014	David Eigen Christian Puhrsch Rob Fergus	7
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	7
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	7
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	6
+ PDF Chat	3D ShapeNets: A deep representation for volumetric shapes	2015	Zhirong Wu Shuran Song Aditya Khosla Fisher Yu Linguang Zhang Xiaoou Tang Jianxiong Xiao	5
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	5
+ PDF Chat	FlowNet: Learning Optical Flow with Convolutional Networks	2015	Alexey Dosovitskiy Philipp Fischer Eddy Ilg Philip Häusser Caner Hazırbaş Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox	5
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	5
+	Learning to Act by Predicting the Future	2016	Alexey Dosovitskiy Vladlen Koltun	5
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	Semi-supervised Learning with Deep Generative Models	2014	Diederik P. Kingma Shakir Mohamed Danilo Jimenez Rezende Max Welling	4
+ PDF Chat	EpicFlow: Edge-preserving interpolation of correspondences for optical flow	2015	Jérôme Revaud Philippe Weinzaepfel Zaïd Harchaoui Cordelia Schmid	4
+	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments	2017	Manolis Savva Anne Lynn S. Chang Alexey Dosovitskiy Thomas Funkhouser Vladlen Koltun	4
+	ShapeNet: An Information-Rich 3D Model Repository	2015	Anne Lynn S. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qixing Huang Zimo Li Silvio Savarese Manolis Savva Shuran Song Hao Su	4
+ PDF Chat	Semantic Scene Completion from a Single Depth Image	2017	Shuran Song Fisher Yu Andy Zeng Anne Lynn S. Chang Manolis Savva Thomas Funkhouser	4
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	4
+ PDF Chat	A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles	2016	B. Paden Michal Čáp Sze Zheng Yong Dmitry Yershov Emilio Frazzoli	4
+ PDF Chat	End-to-End Object Detection with Transformers	2020	Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko	4
+	Reinforcement Learning with Unsupervised Auxiliary Tasks	2016	Max Jaderberg Volodymyr Mnih Wojciech Marian Czarnecki Tom Schaul Joel Z. Leibo David Silver Koray Kavukcuoglu	4
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	4
+ PDF Chat	Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age	2016	César Cadena Luca Carlone Henry Carrillo Yasir Latif Davide Scaramuzza José Neira Ian Reid John J. Leonard	4
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+	Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs	2019	Nicholas Watters Löıc Matthey Christopher Burgess Alexander Lerchner	3
+ PDF Chat	Understanding deep image representations by inverting them	2015	Aravindh Mahendran Andrea Vedaldi	3
+	MONet: Unsupervised Scene Decomposition and Representation	2019	Christopher Burgess Löıc Matthey Nicholas Watters Rishabh Kabra Irina Higgins Matthew Botvinick Alexander Lerchner	3
+	Semi-Supervised Learning with Deep Generative Models	2014	Diederik P. Kingma Danilo Jimenez Rezende Shakir Mohamed Max Welling	3
+	Driving Policy Transfer via Modularity and Abstraction	2018	Matthias Müller Alexey Dosovitskiy Bernard Ghanem Vladlen Koltun	3
+	Deep Neural Network for Real-Time Autonomous Indoor Navigation	2015	Dong Ki Kim Tsuhan Chen	3
+	Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects	2018	Adam R. Kosiorek Hyunjik Kim Yee Whye Teh Ingmar Posner	3
+	Teaching UAVs to Race Using UE4Sim	2017	Matthias Mueller Vincent Casser Neil Smith Dominik L. Michels Bernard Ghanem	3
+ PDF Chat	Deep Reinforcement Learning That Matters	2018	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	3
+ PDF Chat	Deep Stereo: Learning to Predict New Views from the World's Imagery	2016	John P. Flynn Ivan Neulander James Philbin Noah Snavely	3
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	3
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	3
+ PDF Chat	Computing the stereo matching cost with a convolutional neural network	2015	Jure Žbontar Yann LeCun	3
+	Recurrent Models of Visual Attention	2014	Volodymyr Mnih Nicolas Heess Alex Graves Koray Kavukcuoglu	3
+ PDF Chat	Learning monocular reactive UAV control in cluttered natural environments	2013	Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell Martial Hebert	3
+	Deep Generative Stochastic Networks Trainable by Backprop	2013	Yoshua Bengio Eric Laufer Guillaume Alain Jason Yosinski	3
+	Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT	2014	Philipp Fischer Alexey Dosovitskiy Thomas Brox	3
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	3
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	3
+ PDF Chat	DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving	2015	Chenyi Chen Ari Seff Alain L. Kornhauser Jianxiong Xiao	3
+ PDF Chat	Playing for Data: Ground Truth from Computer Games	2016	Stephan R. Richter Vibhav Vineet Stefan Roth Vladlen Koltun	3
+	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling	2016	Jiajun Wu Chengkai Zhang Tianfan Xue William T. Freeman Joshua B. Tenenbaum	3
+ PDF Chat	A Point Set Generation Network for 3D Object Reconstruction from a Single Image	2017	Haoqiang Fan Hao Su Leonidas Guibas	3