Maxim Tatarchenko
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Maxim Tatarchenko*
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Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
Scalable 3D Deep Learning: Methods and Applications
Parting with Illusions about Deep Active Learning
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
Semi-Supervised Semantic Segmentation with High- and Low-level Consistency
What Do Single-view 3D Reconstruction Networks Learn?
ISOO_DL^V2 - Semantic Instance Segmentation of Touching and Overlapping Objects
Tangent Convolutions for Dense Prediction in 3D
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Multi-view 3D Models from Single Images with a Convolutional Network
3D-Reconstruction of Indoor Environments from Human Activity
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