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Convex Color Image Segmentation with Optimal Transport Distances

6 March 2015

Papers citing "Convex Color Image Segmentation with Optimal Transport Distances"

24 / 24 papers shown

Title
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization Yue Yang Yi Zhou Zhaosong Lu 115 0 0 29 Mar 2025
An inexact Bregman proximal point method and its acceleration version for unbalanced optimal transport Xiang Chen Faqiang Wang Jun Liu Lipeng Cui OT 129 0 0 26 Feb 2024
Algorithms for Weak Optimal Transport with an Application to Economics Franccois-Pierre Paty Philippe Choné F. Kramarz OT 63 2 0 19 May 2022
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error Quang Minh Nguyen Hoang H. Nguyen Yi Zhou Lam M. Nguyen OT 63 11 0 08 Feb 2022
A stochastic Gauss-Newton algorithm for regularized semi-discrete optimal transport Bernard Bercu Jérémie Bigot S. Gadat Emilia Siviero 106 6 0 12 Jul 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent Jason M. Altschuler Sinho Chewi P. Gerber Austin J. Stromme 87 37 0 16 Jun 2021
Transport based Graph Kernels Kai Ma Peng Wan Daoqiang Zhang OT 28 1 0 02 Nov 2020
Regularized Optimal Transport is Ground Cost Adversarial Franccois-Pierre Paty Marco Cuturi OT AAML OOD 100 29 0 10 Feb 2020
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters D. Dvinskikh 80 11 0 21 Jan 2020
Gradient descent algorithms for Bures-Wasserstein barycenters Sinho Chewi Tyler Maunu Philippe Rigollet Austin J. Stromme 63 87 0 06 Jan 2020
Coupling Matrix Manifolds and Their Applications in Optimal Transport Dai Shi Junbin Gao X. Hong S. Choy Zhiyong Wang OT 21 0 0 15 Nov 2019
Volume Preserving Image Segmentation with Entropic Regularization Optimal Transport and Its Applications in Deep Learning Haifeng Li Jun Liu Li-min Cui Haiyang Huang X. Tai 33 6 0 22 Sep 2019
Statistical data analysis in the Wasserstein space Jérémie Bigot 69 32 0 19 Jul 2019
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport François-Pierre Paty Alexandre d’Aspremont Marco Cuturi OT 131 33 0 26 May 2019
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures Bernard Bercu Jérémie Bigot 66 19 0 21 Dec 2018
Semi-dual Regularized Optimal Transport Marco Cuturi Gabriel Peyré OT 158 51 0 13 Nov 2018
The Normal Map Based on Area-Preserving Parameterization H Zhao Kehua Su Ming Ma Na Lei Li-min Cui X. Gu 21 0 0 14 Jul 2018
Statistical Optimal Transport via Factored Couplings Aden Forrow Jan-Christian Hütter Mor Nitzan Philippe Rigollet Geoffrey Schiebinger Jonathan Niles-Weed OT 170 70 0 19 Jun 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 325 2,169 0 01 Mar 2018
Central limit theorems for entropy-regularized optimal transport on finite spaces and statistical applications Jérémie Bigot Elsa Cazelles Nicolas Papadakis OT 66 41 0 24 Nov 2017
Relaxed Earth Mover's Distances for Chain- and Tree-connected Spaces and their use as a Loss Function in Deep Learning Manuel Martínez Monica Haurilet Ziad Al-Halah Makarand Tapaswi Rainer Stiefelhagen 41 7 0 22 Nov 2016
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost Nicolas Papadakis Julien Rabin OT 53 16 0 05 Oct 2016
Transport-based analysis, modeling, and learning from signal and data distributions Soheil Kolouri Serim Park Matthew Thorpe D. Slepčev Gustavo K. Rohde DiffM 58 31 0 15 Sep 2016
A Smoothed Dual Approach for Variational Wasserstein Problems Marco Cuturi Gabriel Peyré 100 176 0 09 Mar 2015