SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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3,461 to 3,470 of 3,690 Results

xregexp.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 226.9 KB - MD5: efda034b953739111c7e06101843860a
xregexp.min.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 122.3 KB - MD5: b0439563a5d3ea2d52435768fd01238e
zh-CN.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 768 B - MD5: 2cff662ec5f972b4613566cf5988cda2
zh-TW.js Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Javascript Code - 707 B - MD5: 04554a227c2ba0f3bb6ca3d2e01e5440
Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation Aug 31, 2022 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation" Mehl, Lukas; Beschle, Cedric; Barth, Andrea; Bruhn, Andrés, 2022, "Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation", https://doi.org/10.18419/DARUS-2890, DaRUS, V1 Results of our proposed optical flow method on the Sintel and KITTI datasets. We provide the benchmark results before and after applying our refinement approach. Additionally, we provide a supplementary material to our paper with more details on the minimisation, the numerical solution and additional results. The data is structured as follows: The...
input_kitti_raft.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 95.8 MB - MD5: 52b7b41b535963f9540c0d2a6438447f
input_sintelClean_raftWarm.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: 8726b341bc16afa0d523bad0828c0513
input_sintelClean_raft.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: 4004f6a65294ce1cc9d1bb79734b6267
input_sintelFinal_raftWarm.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: a0d06cc3404895f83050ea7c5ed8712a
input_sintelFinal_raft.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: 586ea5479eb896a31494b990ca6acd77

xregexp.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 226.9 KB -

xregexp.min.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 122.3 KB -

zh-CN.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 768 B -

zh-TW.js

Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Javascript Code - 707 B -

Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

Aug 31, 2022 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"

Mehl, Lukas; Beschle, Cedric; Barth, Andrea; Bruhn, Andrés, 2022, "Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation", https://doi.org/10.18419/DARUS-2890, DaRUS, V1

Results of our proposed optical flow method on the Sintel and KITTI datasets. We provide the benchmark results before and after applying our refinement approach. Additionally, we provide a supplementary material to our paper with more details on the minimisation, the numerical solution and additional results. The data is structured as follows: The...

input_kitti_raft.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 95.8 MB -

input_sintelClean_raftWarm.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

input_sintelClean_raft.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

input_sintelFinal_raftWarm.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -