Dosovitskiy, A.
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with: Arnab, A.: Simple Open-Vocabulary Object Detection
with: Barron, J.T.: NeRF in the Wild: Neural Radiance Fields for Unconstrain...
with: Bengio, Y.: Plug & Play Generative Networks: Conditional Iterative...
with: Bergmann, U.: Scene Representation Transformer: Geometry-Free Novel Vi...
with: Brox, T.: Artistic Style Transfer for Videos
with: Brox, T.: Artistic Style Transfer for Videos and Spherical Images
with: Brox, T.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
with: Brox, T.: Discriminative Unsupervised Feature Learning with Exemplar C...
with: Brox, T.: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep ...
with: Brox, T.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Brox, T.: Image Orientation Estimation with Convolutional Networks
with: Brox, T.: Inverting Visual Representations with Convolutional Networks
with: Brox, T.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
with: Brox, T.: Large Dataset to Train Convolutional Networks for Disparity,...
with: Brox, T.: Learning to generate chairs with convolutional neural networks
with: Brox, T.: Learning to Generate Chairs, Tables and Cars with Convolutio...
with: Brox, T.: Multi-view 3D Models from Single Images with a Convolutional...
with: Brox, T.: Octree Generating Networks: Efficient Convolutional Architec...
with: Brox, T.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
with: Brox, T.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Di...
with: Brox, T.: What Makes Good Synthetic Training Data for Learning Dispari...
with: Clune, J.: Plug & Play Generative Networks: Conditional Iterative ...
with: Codevilla, F.: On Offline Evaluation of Vision-Based Driving Models
with: Cordonnier, J.B.: Differentiable Patch Selection for Image Recognition
with: Cremers, D.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Cremers, D.: Large Dataset to Train Convolutional Networks for Dispari...
with: Cremers, D.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free...
with: Cremers, D.: What Makes Good Synthetic Training Data for Learning Disp...
with: Czisch, M.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
with: Dehghani, M.: Simple Open-Vocabulary Object Detection
with: Duckworth, D.: NeRF in the Wild: Neural Radiance Fields for Unconstrai...
with: Duckworth, D.: Scene Representation Transformer: Geometry-Free Novel V...
with: Fischer, P.: Discriminative Unsupervised Feature Learning with Exempla...
with: Fischer, P.: Image Orientation Estimation with Convolutional Networks
with: Fischer, P.: Large Dataset to Train Convolutional Networks for Dispari...
with: Fischer, P.: What Makes Good Synthetic Training Data for Learning Disp...
with: Fischery, P.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Funkhouser, T.: Scene Representation Transformer: Geometry-Free Novel ...
with: Golkov, V.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Golkov, V.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
with: Greff, K.: Scene Representation Transformer: Geometry-Free Novel View ...
with: Gritsenko, A.: Simple Open-Vocabulary Object Detection
with: Hausser, P.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Hausser, P.: Large Dataset to Train Convolutional Networks for Dispari...
with: Hazirbas, C.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Hazirbas, C.: What Makes Good Synthetic Training Data for Learning Dis...
with: Houlsby, N.: Simple Open-Vocabulary Object Detection
with: Ilg, E.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
with: Ilg, E.: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep N...
with: Ilg, E.: FlowNet: Learning Optical Flow with Convolutional Networks
with: Ilg, E.: Large Dataset to Train Convolutional Networks for Disparity, ...
with: Ilg, E.: What Makes Good Synthetic Training Data for Learning Disparit...
with: Keuper, M.: FlowNet 2.0: Evolution of Optical Flow Estimation with Dee...
with: Kipf, T.: Simple Open-Vocabulary Object Detection
with: Koltun, V.: On Offline Evaluation of Vision-Based Driving Models
with: Lopez, A.M.: On Offline Evaluation of Vision-Based Driving Models
with: Lucic, M.: Scene Representation Transformer: Geometry-Free Novel View ...
with: Mahendran, A.: Differentiable Patch Selection for Image Recognition
with: Mahendran, A.: Simple Open-Vocabulary Object Detection
with: Martin Brualla, R.: NeRF in the Wild: Neural Radiance Fields for Uncon...
with: Mayer, N.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
with: Mayer, N.: FlowNet 2.0: Evolution of Optical Flow Estimation with Deep...
with: Mayer, N.: Large Dataset to Train Convolutional Networks for Disparity...
with: Mayer, N.: What Makes Good Synthetic Training Data for Learning Dispar...
with: Menzel, M.I.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Fre...
with: Meyer, H.: Scene Representation Transformer: Geometry-Free Novel View ...
with: Minderer, M.: Simple Open-Vocabulary Object Detection
with: Neumann, M.: Simple Open-Vocabulary Object Detection
with: Nguyen, A.: Plug & Play Generative Networks: Conditional Iterative...
with: Ochs, P.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
with: Ochs, P.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
with: Pock, T.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
with: Pock, T.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
with: Pot, E.: Scene Representation Transformer: Geometry-Free Novel View Sy...
with: Radwan, N.: NeRF in the Wild: Neural Radiance Fields for Unconstrained...
with: Radwan, N.: Scene Representation Transformer: Geometry-Free Novel View...
with: Riedmiller, M.: Discriminative Unsupervised Feature Learning with Exem...
with: Ruder, M.: Artistic Style Transfer for Videos
with: Ruder, M.: Artistic Style Transfer for Videos and Spherical Images
with: Saikia, T.: FlowNet 2.0: Evolution of Optical Flow Estimation with Dee...
with: Sajjadi, M.S.M.: NeRF in the Wild: Neural Radiance Fields for Unconstr...
with: Sajjadi, M.S.M.: Scene Representation Transformer: Geometry-Free Novel...
with: Samann, P.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free ...
with: Shen, Z.: Simple Open-Vocabulary Object Detection
with: Sperl, J.I.: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free...
with: Springenberg, J.T.: Discriminative Unsupervised Feature Learning with ...
with: Springenberg, J.T.: Learning to generate chairs with convolutional neu...
with: Springenberg, J.T.: Learning to Generate Chairs, Tables and Cars with ...
with: Stone, A.: Simple Open-Vocabulary Object Detection
with: Tagliasacchi, A.: Scene Representation Transformer: Geometry-Free Nove...
with: Tatarchenko, M.: Learning to generate chairs with convolutional neural...
with: Tatarchenko, M.: Learning to Generate Chairs, Tables and Cars with Con...
with: Tatarchenko, M.: Multi-view 3D Models from Single Images with a Convol...
with: Tatarchenko, M.: Octree Generating Networks: Efficient Convolutional A...
with: Uhrig, J.: DeMoN: Depth and Motion Network for Learning Monocular Stereo
with: Ummenhofer, B.: DeMoN: Depth and Motion Network for Learning Monocular...
with: Unterthiner, T.: Differentiable Patch Selection for Image Recognition
with: Uszkoreit, J.: Differentiable Patch Selection for Image Recognition
with: Uszkoreit, J.: Scene Representation Transformer: Geometry-Free Novel V...
with: van de Smagt, P.: FlowNet: Learning Optical Flow with Convolutional Ne...
with: Vora, S.: Scene Representation Transformer: Geometry-Free Novel View S...
with: Wang, X.: Simple Open-Vocabulary Object Detection
with: Weissenborn, D.: Differentiable Patch Selection for Image Recognition
with: Weissenborn, D.: Simple Open-Vocabulary Object Detection
with: Yosinski, J.: Plug & Play Generative Networks: Conditional Iterati...
with: Zhai, X.H.: Simple Open-Vocabulary Object Detection
with: Zhou, H.Z.: DeMoN: Depth and Motion Network for Learning Monocular Ste...
107 for Dosovitskiy, A.