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