Numerical algorithms : methods for computer vision, machine learning, and graphics

von Solomon, Justin
Veröffentlicht 2015

Optimal transport on discrete domains

von SOLOMON, JUSTIN
Veröffentlicht in Short Course Discrete Differential Geometry (2018 : San Diego, Calif.) An excursion through discrete differential geometry (2020)

Numerical algorithms : methods for computer vision, machine learning, and graphics

von Solomon, Justin
Veröffentlicht 2020

Object DGCNN: 3D Object Detection using Dynamic Graphs

von Wang, Yue
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

MODEL FUSION WITH KULLBACK-LEIBLER DIVERGENCE

von Claici, Sebastian
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 3 of 15 (2021)

IMPROVING APPROXIMATE OPTIMAL TRANSPORT DISTANCES USING QUANTIZATION

von Beugnot, Gaspard
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (37. : 2021 : Online) 37th Conference on Uncertainty in Artificial Intelligence (UAI 2021) ; Part 1 of 3 (2022)

CONTINUOUS REGULARIZED WASSERSTEIN BARYCENTERS

von Li, Lingxiao
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets

von Shnitzer, Tal
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 24 of 33 (2023)

OUTLIER-ROBUST OPTIMAL TRANSPORT

von MUKHERJEE, DEBARGHYA
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

HIERARCHICAL OPTIMAL TRANSPORT FOR DOCUMENT REPRESENTATION

von Yurochkin, Mikhail
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 3 of 20 (2020)

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

von Korotin, Alexander
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 18 of 36 (2022)

Large-Scale Wasserstein Gradient Flows

von Mokrov, Petr
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 19 of 36 (2022)

MarioNette: Self-Supervised Sprite Learning

von Smirnov, Dmitriy
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

ALLEVIATING LABEL SWITCHING WITH OPTIMAL TRANSPORT

von Monteiller, Pierre
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 18 of 20 (2020)

Special issue on Geometric Modeling and Processing (GMP2020)

Veröffentlicht 2020-2021

Pillar-Based Object Detection for Autonomous Driving

von Wang, Yue
Veröffentlicht in ECCV (16. : 2020 : Online) Computer vision - ECCV 2020 ; Part 22 (2020)