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Andrea Tagliasacchi

Google Research

MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision


Aug 10, 2021
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud


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Learning Mesh Representations via Binary Space Partitioning Tree Networks


Jul 02, 2021
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang

* Accepted to TPAMI. This is the extended journal version of BSP-Net (arXiv:1911.06971) from CVPR 2020 

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Deep Medial Fields


Jun 07, 2021
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi


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Vector Neurons: A General Framework for SO(3)-Equivariant Networks


Apr 25, 2021
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas Guibas


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COTR: Correspondence Transformer for Matching Across Images


Mar 25, 2021
Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi


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Human 3D keypoints via spatial uncertainty modeling


Dec 18, 2020
Francis Williams, Or Litany, Avneesh Sud, Kevin Swersky, Andrea Tagliasacchi


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Canonical Capsules: Unsupervised Capsules in Canonical Pose


Dec 08, 2020
Weiwei Sun, Andrea Tagliasacchi, Boyang Deng, Sara Sabour, Soroosh Yazdani, Geoffrey Hinton, Kwang Moo Yi

* The first two authors contributed equally to this work 

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Unsupervised part representation by Flow Capsules


Nov 27, 2020
Sara Sabour, Andrea Tagliasacchi, Soroosh Yazdani, Geoffrey E. Hinton, David J. Fleet


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DeRF: Decomposed Radiance Fields


Nov 25, 2020
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi


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Voronoi Convolutional Neural Networks


Oct 21, 2020
Soroosh Yazdani, Andrea Tagliasacchi

* Technical report 

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PIE-NET: Parametric Inference of Point Cloud Edges


Jul 09, 2020
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang


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CoSE: Compositional Stroke Embeddings


Jun 17, 2020
Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges


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ShapeFlow: Learnable Deformations Among 3D Shapes


Jun 14, 2020
Chiyu "Max" Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas


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Deep Implicit Volume Compression


May 18, 2020
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Haene, Mingsong Dou, Sean Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin

* Danhang Tang and Saurabh Singh have equal contribution 

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NiLBS: Neural Inverse Linear Blend Skinning


Apr 06, 2020
Timothy Jeruzalski, David I. W. Levin, Alec Jacobson, Paul Lalonde, Mohammad Norouzi, Andrea Tagliasacchi


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VoronoiNet: General Functional Approximators with Local Support


Dec 08, 2019
Francis Williams, Daniele Panozzo, Kwang Moo Yi, Andrea Tagliasacchi


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NASA: Neural Articulated Shape Approximation


Dec 06, 2019
Timothy Jeruzalski, Boyang Deng, Mohammad Norouzi, JP Lewis, Geoffrey Hinton, Andrea Tagliasacchi


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BSP-Net: Generating Compact Meshes via Binary Space Partitioning


Nov 16, 2019
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang


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CvxNets: Learnable Convex Decomposition


Sep 12, 2019
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, Andrea Tagliasacchi


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Attentive Context Normalization for Robust Permutation-Equivariant Learning


Jul 04, 2019
Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi


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Volumetric Capture of Humans with a Single RGBD Camera via Semi-Parametric Learning


May 29, 2019
Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor, Ricardo Martin-Brualla, Andrea Tagliasacchi, George Papandreou, Philip Davidson, Cem Keskin, Shahram Izadi, Sean Fanello


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Linearized Multi-Sampling for Differentiable Image Transformation


Jan 22, 2019
Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi


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MIST: Multiple Instance Spatial Transformer Network


Nov 26, 2018
Baptiste Angles, Shahram Izadi, Andrea Tagliasacchi, Kwang Moo Yi


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HandSeg: An Automatically Labeled Dataset for Hand Segmentation from Depth Images


Aug 02, 2018
Abhishake Kumar Bojja, Franziska Mueller, Sri Raghu Malireddi, Markus Oberweger, Vincent Lepetit, Christian Theobalt, Kwang Moo Yi, Andrea Tagliasacchi


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Espresso: Efficient Forward Propagation for BCNNs


Mar 07, 2018
Fabrizio Pedersoli, George Tzanetakis, Andrea Tagliasacchi

* 10 pages, 4 figures 

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