Publications

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Artistic style transfer for videos and spherical images

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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?

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End-to-end Driving via Conditional Imitation Learning

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TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning

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Semi-parametric Topological Memory for Navigation

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CARLA: An Open Urban Driving Simulator

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Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs

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Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space

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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

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DeMoN: Depth and Motion Network for Learning Monocular Stereo

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Learning to Act by Predicting the Future

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Learning to Generate Chairs, Tables and Cars with Convolutional Networks

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