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Publication Year: 2024 Subject: Computer Science, Systems and Electrical Engineering

1 to 10 of 25 Results

Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement Jun 11, 2025 Dao, Ha, 2024, "Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement", https://doi.org/10.17617/3.STVMDI, Edmond, V5 This collection contains the tool, raw dataset, and analysis scripts used to reproduce the analysis conducted in our study on illegal movie streaming services measurement. The findings are detailed in the paper "Unmasking the Shadows: A Cross-Country Study of Online Tracking in Illegal Movie Streaming Services," published in the 25th Privacy Enhanc...
ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24) Apr 7, 2025 Xie, Xianghui, 2024, "ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)", https://doi.org/10.17617/3.2VUEUS, Edmond, V8 A large scale synthetic dataset about human-object interaction. It features about 1M+ interaction images with 21k+ different objects. The generation of this dataset is described in the paper "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24). Please check the github repo for detailed file str...
A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration Feb 28, 2025 Steurer, Florian; Anja Feldmann; Tobias Fiebig, 2024, "A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration", https://doi.org/10.17617/3.UBPZXP, Edmond, V4 Data of comprehensive DNS resolutions for "A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration". For getting started, have a look at the readme.md. The full raw data is too large to host here. You can find it at: https://data.measurement.network/
Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation Dec 20, 2024 Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V2 This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: https://github.com/alexhang212/3D-SOCS
Pat-SPECTER embeddings for Patstat 2023 Fall (USPTO and EPO) Dec 17, 2024 Rose, Michael; Buunk, Erik; Erhardt, Sebastian; Ghosh, Mainak; Li, Cheng; Harhoff, Dietmar, 2024, "Pat-SPECTER embeddings for Patstat 2023 Fall (USPTO and EPO)", https://doi.org/10.17617/3.ES5ZSC, Edmond, V1 Pat-SPECTER embeddings for all patent families as of Patstat 2023 Fall release. File "Pat-SPECTER_EPO_patstat-2023-fall.parquet" contains embeddings for all patent families with an EPO member (3.9M). File "Pat-SPECTER_USPTO_patstat-2023-fall.parquet" contains embeddings for all patent families with a USPTO member (9.2M). We encoded one representati...
PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO) Dec 17, 2024 Ghosh, Mainak; Erhardt, Sebastian; Rose, Michael; Buunk, Erik; Harhoff, Dietmar, 2024, "PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO)", https://doi.org/10.17617/3.BGRPMI, Edmond, V1 PaECTER embeddings for all patent families as of Patstat 2023 Fall release. File "PaECTER_EPO_patstat-2023-fall.parquet" contains embeddings for all patent families with an EPO member (3.9M). File "PaECTER_USPTO_patstat-2023-fall.parquet" contains embeddings for all patent families with a USPTO member (9.2M). We encoded one representative member of...
Analysis scripts for Cookies Having Independent Partitioned State (CHIPS) measurement Dec 10, 2024 Dao, Ha, 2024, "Analysis scripts for Cookies Having Independent Partitioned State (CHIPS) measurement", https://doi.org/10.17617/3.C9WI7C, Edmond, V1 This collection contains analysis scripts to reproduce our analysis for the CHIPS measurements. The results are published in the paper "A First Look at Cookies Having Independent Partitioned State" published at the "Passive and Active Measurement Conference 2025" (PAM 2025).
Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy Dec 10, 2024 Vuijk, Maurits; Ducci, Gianmarco; Sandoval-Diaz, Luis; Lunkenbein, Thomas; Scheurer, Christoph, 2024, "Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy", https://doi.org/10.17617/3.NWOKER, Edmond, V1 This is the source code and data used in the publication "Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy" by Maurits Vuijk, Gianmarco Ducci, Luis Sandoval, Markus Pietsch, Karsten Reuter, Thomas Lunkenbein and Christoph Scheurer.
Data for "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics" Nov 19, 2024 Kofler, Annalena; Stimper, Vincent; Mikhasenko, Mikhail; Kagan, Michael; Heinrich, Lukas, 2024, "Data for "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics"", https://doi.org/10.17617/3.UZ786R, Edmond, V1 Training data for workshop paper "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics"
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bimanual Dexterous Robot Hands Oct 30, 2024 Chen, Le; Zhao, Yi; Schneider, Jan; Gao, Quankai; Kannala, Juho; Schölkopf, Bernhard; Pajarinen, Joni; Büchler, Dieter, 2024, "RP1M: A Large-Scale Motion Dataset for Piano Playing with Bimanual Dexterous Robot Hands", https://doi.org/10.17617/3.XCE8NX, Edmond, V1 RP1M dataset is the first large-scale dataset of dynamic, bimanual manipulation with dexterous robot hands. It includes bimanual robot piano playing motion data of ~1M expert trajectories covering ~2k musical pieces. Project website: https://rp1m.github.io/

Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement

Jun 11, 2025

Dao, Ha, 2024, "Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement", https://doi.org/10.17617/3.STVMDI, Edmond, V5

This collection contains the tool, raw dataset, and analysis scripts used to reproduce the analysis conducted in our study on illegal movie streaming services measurement. The findings are detailed in the paper "Unmasking the Shadows: A Cross-Country Study of Online Tracking in Illegal Movie Streaming Services," published in the 25th Privacy Enhanc...

ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)

Apr 7, 2025

Xie, Xianghui, 2024, "ProciGen dataset for "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24)", https://doi.org/10.17617/3.2VUEUS, Edmond, V8

A large scale synthetic dataset about human-object interaction. It features about 1M+ interaction images with 21k+ different objects. The generation of this dataset is described in the paper "Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation" (CVPR'24). Please check the github repo for detailed file str...

A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration

Feb 28, 2025

Steurer, Florian; Anja Feldmann; Tobias Fiebig, 2024, "A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration", https://doi.org/10.17617/3.UBPZXP, Edmond, V4

Data of comprehensive DNS resolutions for "A Tree in a Tree: Measuring Biases of Partial DNS Tree Exploration". For getting started, have a look at the readme.md. The full raw data is too large to host here. You can find it at: https://data.measurement.network/

Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation

Dec 20, 2024

Chimento, Michael; Chan, Hoi Hang; Aplin, Lucy; Kano, Fumihiro, 2024, "Additional dataset for: Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation", https://doi.org/10.17617/3.ZQMOJ3, Edmond, V2

This dataset includes sample data to reproduce the 3D-SOCS pipeline, as well as an annotated dataset and trained model weights for object detection and 2D keypoint estimation for Great tits and Blue tits. For more details, code and implementation of the pipeline, we refer to: https://github.com/alexhang212/3D-SOCS

Pat-SPECTER embeddings for Patstat 2023 Fall (USPTO and EPO)

Dec 17, 2024

Rose, Michael; Buunk, Erik; Erhardt, Sebastian; Ghosh, Mainak; Li, Cheng; Harhoff, Dietmar, 2024, "Pat-SPECTER embeddings for Patstat 2023 Fall (USPTO and EPO)", https://doi.org/10.17617/3.ES5ZSC, Edmond, V1

Pat-SPECTER embeddings for all patent families as of Patstat 2023 Fall release. File "Pat-SPECTER_EPO_patstat-2023-fall.parquet" contains embeddings for all patent families with an EPO member (3.9M). File "Pat-SPECTER_USPTO_patstat-2023-fall.parquet" contains embeddings for all patent families with a USPTO member (9.2M). We encoded one representati...

PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO)

Dec 17, 2024

Ghosh, Mainak; Erhardt, Sebastian; Rose, Michael; Buunk, Erik; Harhoff, Dietmar, 2024, "PaECTER embeddings for Patstat 2023 Fall (USPTO and EPO)", https://doi.org/10.17617/3.BGRPMI, Edmond, V1

PaECTER embeddings for all patent families as of Patstat 2023 Fall release. File "PaECTER_EPO_patstat-2023-fall.parquet" contains embeddings for all patent families with an EPO member (3.9M). File "PaECTER_USPTO_patstat-2023-fall.parquet" contains embeddings for all patent families with a USPTO member (9.2M). We encoded one representative member of...

Analysis scripts for Cookies Having Independent Partitioned State (CHIPS) measurement

Dec 10, 2024

Dao, Ha, 2024, "Analysis scripts for Cookies Having Independent Partitioned State (CHIPS) measurement", https://doi.org/10.17617/3.C9WI7C, Edmond, V1

This collection contains analysis scripts to reproduce our analysis for the CHIPS measurements. The results are published in the paper "A First Look at Cookies Having Independent Partitioned State" published at the "Passive and Active Measurement Conference 2025" (PAM 2025).

Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy

Dec 10, 2024

Vuijk, Maurits; Ducci, Gianmarco; Sandoval-Diaz, Luis; Lunkenbein, Thomas; Scheurer, Christoph, 2024, "Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy", https://doi.org/10.17617/3.NWOKER, Edmond, V1

This is the source code and data used in the publication "Physics-Based Synthetic Data Model for Automated Segmentation in Catalysis Microscopy" by Maurits Vuijk, Gianmarco Ducci, Luis Sandoval, Markus Pietsch, Karsten Reuter, Thomas Lunkenbein and Christoph Scheurer.

Data for "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics"

Nov 19, 2024

Kofler, Annalena; Stimper, Vincent; Mikhasenko, Mikhail; Kagan, Michael; Heinrich, Lukas, 2024, "Data for "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics"", https://doi.org/10.17617/3.UZ786R, Edmond, V1

Training data for workshop paper "Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics"

RP1M: A Large-Scale Motion Dataset for Piano Playing with Bimanual Dexterous Robot Hands

Oct 30, 2024

Chen, Le; Zhao, Yi; Schneider, Jan; Gao, Quankai; Kannala, Juho; Schölkopf, Bernhard; Pajarinen, Joni; Büchler, Dieter, 2024, "RP1M: A Large-Scale Motion Dataset for Piano Playing with Bimanual Dexterous Robot Hands", https://doi.org/10.17617/3.XCE8NX, Edmond, V1

RP1M dataset is the first large-scale dataset of dynamic, bimanual manipulation with dexterous robot hands. It includes bimanual robot piano playing motion data of ~1M expert trajectories covering ~2k musical pieces. Project website: https://rp1m.github.io/

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