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Thies, Justus;Zollhöfer, Michael;Stamminger, Marc;Theobalt, Christian;Nießner, Matthias
Face2Face
Communications of the ACM
2018
62
1
96-104
Dong, Siyan;Xu, Kai;Zhou, Qiang;Tagliasacchi, Andrea;Xin, Shiqing;Nießner, Matthias;Chen, Baoquan
Multi-robot collaborative dense scene reconstruction
ACM Transactions on Graphics
2019
38
4
1-16
Ganapathi-Subramanian, Vignesh;Diamanti, Olga;Pirk, Soeren;Tang, Chengcheng;Niessner, Matthias;Guibas, Leonidas
Parsing Geometry Using Structure-Aware Shape Templates
2018 International Conference on 3D Vision (3DV)
IEEE
2018
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Proceedings of the International Conference on Learning Representations
2018
Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
2018
Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nießner, Leonidas Guibas
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes
2018
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
2018
Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner
Joint Embedding of 3D Scan and CAD Objects
2019
Angela Dai, Christian Diller, Matthias Nießner
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
2019
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
2018
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