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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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k-Mixup Regularization for Deep Learning via Optimal Transport


Jun 05, 2021
Kristjan Greenewald, Anming Gu, Mikhail Yurochkin, Justin Solomon, Edward Chien


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Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark


Jun 03, 2021
Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Alexander Filippov, Evgeny Burnaev


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Large-Scale Wasserstein Gradient Flows


Jun 01, 2021
Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev


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MarioNette: Self-Supervised Sprite Learning


Apr 29, 2021
Dmitriy Smirnov, Michael Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon


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Improving Approximate Optimal Transport Distances using Quantization


Feb 25, 2021
Gaspard Beugnot, Aude Genevay, Kristjan Greenewald, Justin Solomon


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Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization


Feb 02, 2021
Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev


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$k$-Variance: A Clustered Notion of Variance


Dec 13, 2020
Justin Solomon, Kristjan Greenewald, Haikady N. Nagaraja


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Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection


Sep 24, 2020
Yue Wang, Alireza Fathi, Jiajun Wu, Thomas Funkhouser, Justin Solomon

* The Workshop on Perception for Autonomous Driving at ECCV2020 

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Continuous Regularized Wasserstein Barycenters


Aug 28, 2020
Lingxiao Li, Aude Genevay, Mikhail Yurochkin, Justin Solomon


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Pillar-based Object Detection for Autonomous Driving


Jul 26, 2020
Yue Wang, Alireza Fathi, Abhijit Kundu, David Ross, Caroline Pantofaru, Thomas Funkhouser, Justin Solomon

* Accepted to ECCV2020 

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Model Fusion with Kullback--Leibler Divergence


Jul 13, 2020
Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon

* ICML 2020 

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Polygonal Building Segmentation by Frame Field Learning


Apr 30, 2020
Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka


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Automatic phantom test pattern classification through transfer learning with deep neural networks


Jan 22, 2020
Rafael B. Fricks, Justin Solomon, Ehsan Samei


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Incorporating Unlabeled Data into Distributionally Robust Learning


Dec 18, 2019
Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon


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Alleviating Label Switching with Optimal Transport


Nov 10, 2019
Pierre Monteiller, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon, Mikhail Yurochkin

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Hierarchical Optimal Transport for Document Representation


Jun 26, 2019
Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon


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Learning Embeddings into Entropic Wasserstein Spaces


May 08, 2019
Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon

* ICLR 2019 

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Deep Parametric Shape Predictions using Distance Fields


Apr 18, 2019
Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon


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Placental Flattening via Volumetric Parameterization


Mar 14, 2019
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, P. Ellen Grant, Justin Solomon, Polina Golland

* Corrected author affiliations; our code is available at https://github.com/mabulnaga/placenta-flattening 

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Stochastic Wasserstein Barycenters


Jun 07, 2018
Sebastian Claici, Edward Chien, Justin Solomon

* ICML 2018 

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Wasserstein Coresets for Lipschitz Costs


May 18, 2018
Sebastian Claici, Justin Solomon


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Optimal Transport on Discrete Domains


May 01, 2018
Justin Solomon


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Parallel Streaming Wasserstein Barycenters


Nov 14, 2017
Matthew Staib, Sebastian Claici, Justin Solomon, Stefanie Jegelka

* NIPS 2017 

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