Dosovitskiy, A.[Alexey]
* 2013: Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision, An
* 2015: FlowNet: Learning Optical Flow with Convolutional Networks
* 2015: Image Orientation Estimation with Convolutional Networks
* 2015: Learning to generate chairs with convolutional neural networks
* 2015: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision
* 2016: Artistic Style Transfer for Videos
* 2016: Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
* 2016: Inverting Visual Representations with Convolutional Networks
* 2016: Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* 2016: Multi-view 3D Models from Single Images with a Convolutional Network
* 2016: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
* 2017: DeMoN: Depth and Motion Network for Learning Monocular Stereo
* 2017: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
* 2017: Learning to Generate Chairs, Tables and Cars with Convolutional Networks
* 2017: Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
* 2017: Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space
* 2018: Artistic Style Transfer for Videos and Spherical Images
* 2018: On Offline Evaluation of Vision-Based Driving Models
* 2018: What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
* 2021: Differentiable Patch Selection for Image Recognition
* 2021: NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
* 2022: Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
* 2022: Simple Open-Vocabulary Object Detection
Includes: Dosovitskiy, A.[Alexey] Dosovitskiy, A.
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