Alexey Dosovitskiy
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Computer Science
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(Suggest an Edit or Addition)Alexey Dosovitskiy's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (2020) (12040)
- Striving for Simplicity: The All Convolutional Net (2014) (3825)
- FlowNet: Learning Optical Flow with Convolutional Networks (2015) (3266)
- CARLA: An Open Urban Driving Simulator (2017) (2694)
- FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (2016) (2455)
- A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (2015) (1885)
- Generating Images with Perceptual Similarity Metrics based on Deep Networks (2016) (979)
- MLP-Mixer: An all-MLP Architecture for Vision (2021) (934)
- Discriminative Unsupervised Feature Learning with Convolutional Neural Networks (2014) (871)
- End-to-End Driving Via Conditional Imitation Learning (2017) (719)
- Learning agile and dynamic motor skills for legged robots (2019) (713)
- Learning to generate chairs with convolutional neural networks (2014) (657)
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs (2017) (630)
- Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks (2014) (597)
- Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space (2016) (595)
- DeMoN: Depth and Motion Network for Learning Monocular Stereo (2016) (591)
- Synthesizing the preferred inputs for neurons in neural networks via deep generator networks (2016) (581)
- Inverting Visual Representations with Convolutional Networks (2015) (561)
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections (2020) (555)
- On Evaluation of Embodied Navigation Agents (2018) (487)
- Object-Centric Learning with Slot Attention (2020) (381)
- Multi-view 3D Models from Single Images with a Convolutional Network (2015) (363)
- Do Vision Transformers See Like Convolutional Neural Networks? (2021) (332)
- Semi-parametric Topological Memory for Navigation (2018) (273)
- Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT (2014) (270)
- Learning to Act by Predicting the Future (2016) (265)
- Learning to Generate Chairs, Tables and Cars with Convolutional Networks (2014) (243)
- Artistic Style Transfer for Videos (2016) (227)
- q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (2016) (215)
- MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments (2017) (214)
- Unsupervised Learning of Shape and Pose with Differentiable Point Clouds (2018) (197)
- On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision (2015) (186)
- Driving Policy Transfer via Modularity and Abstraction (2018) (179)
- A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark (2019) (176)
- What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (2018) (170)
- Deep Drone Racing: From Simulation to Reality With Domain Randomization (2019) (132)
- Deep Drone Racing: Learning Agile Flight in Dynamic Environments (2018) (114)
- Inverting Convolutional Networks with Convolutional Networks (2015) (106)
- Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing (2018) (104)
- Artistic Style Transfer for Videos and Spherical Images (2017) (101)
- Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning (2019) (95)
- Single-view to Multi-view: Reconstructing Unseen Views with a Convolutional Network (2015) (83)
- Conditional Object-Centric Learning from Video (2021) (74)
- An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision (2013) (68)
- On Offline Evaluation of Vision-based Driving Models (2018) (66)
- Benchmarking Classic and Learned Navigation in Complex 3D Environments (2019) (65)
- Image Orientation Estimation with Convolutional Networks (2015) (64)
- Simple Open-Vocabulary Object Detection with Vision Transformers (2022) (55)
- Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations (2021) (49)
- Differentiable Patch Selection for Image Recognition (2021) (46)
- The Visual Task Adaptation Benchmark (2019) (45)
- You Only Train Once: Loss-Conditional Training of Deep Networks (2020) (41)
- Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images (2016) (41)
- Unsupervised feature learning by augmenting single images (2013) (41)
- Motion Perception in Reinforcement Learning with Dynamic Objects (2018) (28)
- Frequency-Aware Model Predictive Control (2018) (27)
- TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning (2018) (19)
- Learning Object-Centric Video Models by Contrasting Sets (2020) (18)
- q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (2015) (17)
- Learning to Predict the Wind for Safe Aerial Vehicle Planning (2019) (8)
- Learning Depth With Very Sparse Supervision (2020) (3)
- Active Learning is a Strong Baseline for Data Subset Selection (2022) (1)
- Simple Open-Vocabulary Object Detection (2022) (1)
- Pattern Recognition (2016) (1)
- Neural Networks for Image Motion (2019) (0)
- Supplementary Material for Object-Centric Learning with Slot Attention (2020) (0)
- Supplement: Differentiable Patch Selection for Image Recognition (2021) (0)
- What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (2018) (0)
- A N I MAGE IS W ORTH 16 X 16 W ORDS : T RANSFORMERS FOR I MAGE R ECOGNITION AT S CALE (2021) (0)
- Supplementary Material for LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation (2018) (0)
- GLOBAL-LOCAL NETWORK FOR LEARNING DEPTH VIA INTERACTION (2020) (0)
- C ONDITIONAL O BJECT -C ENTRIC L EARNING FROM V IDEO (2022) (0)
- Learning Depth via Interaction (2020) (0)
- Material for “ Learning to Generate Chairs with Convolutional Neural Networks ” (2015) (0)
- Global-Local Network for Learning Depth with Very Sparse Supervision (2019) (0)
- Artistic Style Transfer for Videos and Spherical Images (2018) (0)
- Funnel Vision Transformer for image classification (2022) (0)
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What Schools Are Affiliated With Alexey Dosovitskiy?
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