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Riemannian Metric Learning via Optimal Transport


May 18, 2022
Christopher Scarvelis, Justin Solomon


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Symmetric Volume Maps


Feb 05, 2022
S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon


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Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets


Feb 03, 2022
Tal Shnitzer, Mikhail Yurochkin, Kristjan Greenewald, Justin Solomon

* 20 pages, 7 figures 

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Rewiring with Positional Encodings for Graph Neural Networks


Feb 02, 2022
Rickard Brüel-Gabrielsson, Mikhail Yurochkin, Justin Solomon


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Learning Proximal Operators to Discover Multiple Optima


Jan 28, 2022
Lingxiao Li, Noam Aigerman, Vladimir G. Kim, Jiajin Li, Kristjan Greenewald, Mikhail Yurochkin, Justin Solomon


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Wassersplines for Stylized Neural Animation


Jan 28, 2022
Paul Zhang, Dmitriy Smirnov, Justin Solomon


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DeepCurrents: Learning Implicit Representations of Shapes with Boundaries


Nov 17, 2021
David Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon


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Volumetric Parameterization of the Placenta to a Flattened Template


Nov 15, 2021
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland

* Accepted to IEEE TMI ( (c) IEEE). This manuscript expands the MICCAI 2019 paper (arXiv:1903.05044) by developing additional template models and extensions to improve robustness, expanded evaluation on a significantly larger dataset, and experiments and discussion demonstrating utility for clinical research. Code is available at https://github.com/mabulnaga/placenta-flattening 

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Object DGCNN: 3D Object Detection using Dynamic Graphs


Oct 13, 2021
Yue Wang, Justin Solomon

* Accepted to NeurIPS 2021 

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DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries


Oct 13, 2021
Yue Wang, Vitor Guizilini, Tianyuan Zhang, Yilun Wang, Hang Zhao, Justin Solomon

* Accepted to CORL 2021 

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