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Artistic style transfer for videos and spherical images (IJCV 2018)

What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (IJCV 2018)

Data-Driven Modeling of Intracellular Auxin Fluxes Indicates a Dominant Role of the ER in Controlling Nuclear Auxin Uptake (Cell Reports 2018)

3D Human Pose Estimation in RGBD Images for Robotic Task Learning (ICRA 2018)

Tangent Convolutions for Dense Prediction in 3D (CVPR 2018)

DPDB-Net: Exploiting Dense Connections for Convolutional Encoders (ICRA 2018)

Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs (ICCV 2017)

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks (CVPR 2017)

Learning to Generate Chairs, Tables and Cars with Convolutional Networks (TPAMI 2017)

Inverting Visual Representations with Convolutional Networks (CVPR 2016)

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (CVPR 2016)

Deep Learning for Human Part Discovery in Images (ICRA 2016)

Deep Learning for Human Part Discovery in Images (ICRA 2016)

Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection (ICCV 2017)

End-to-End Learning of Video Super-Resolution with Motion Compensation (GCPR 2017)

Orientation-boosted voxel nets for 3D object recognition (BMVC 2017)

A new fate mapping system reveals context-dependent random or clonal expansion of microglia (Nature Neuroscience 2017)

Sparsity Invariant CNNs (3DV 2017)

DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)

DeMoN: Depth and Motion Network for Learning Monocular Stereo (CVPR 2017)