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Subject: Computer Science, Systems and Electrical Engineering

1 to 10 of 72 Results

MD simulation datasets of the article “Functional in vitro diversity of an intrinsically disordered plant protein during freeze–thawing is encoded by its structural plasticity” Jun 16, 2025 Rindfleisch, Tobias, 2025, "MD simulation datasets of the article “Functional in vitro diversity of an intrinsically disordered plant protein during freeze–thawing is encoded by its structural plasticity”", https://doi.org/10.17617/3.G8TPPM, Edmond, V1 Intrinsically disordered late embryogenesis abundant (LEA) proteins play a central role in the tolerance of plants and other organisms to dehydration brought upon, for example, by freezing temperatures, high salt concentration, drought or desiccation, and many LEA proteins have been found to stabilize dehydration-sensitive cellular structures. Thei...
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...
NeRF-OSR: Neural Radiance Fields for Outdoor Scene Relighting Jun 10, 2025 Rudnev, Viktor; Elgharib, Mohamed; Smith, William; Lingjie Lyu; Golyanik, Vladislav; Theobalt, Christian, 2025, "NeRF-OSR: Neural Radiance Fields for Outdoor Scene Relighting", https://doi.org/10.17617/3.6UULWL, Edmond, V1 Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination. A delicate manipulation of the lighting can then be performed while keeping the scene albedo and geometry unaltered. We present NeRF-OSR, i.e., the...
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera Jun 10, 2025 Rudnev, Viktor; Elgharib, Mohamed; Theobalt, Christian; Golyanik, Vladislav, 2025, "EventNeRF: Neural Radiance Fields from a Single Colour Event Camera", https://doi.org/10.17617/3.FCVXVU, Edmond, V1 Asynchronously operating event cameras find many applications due to their high dynamic range, no motion blur, low latency and low data bandwidth. The field has seen remarkable progress during the last few years, and existing event-based 3D reconstruction approaches recover sparse point clouds of the scene. However, such sparsity is a limiting fact...
Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams Jun 7, 2025 Rudnev, Viktor; Fox, Gereon; Elgharib, Mohamed; Theobalt, Christian; Golyanik, Vladislav, 2025, "Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams", https://doi.org/10.17617/3.AD2LQB, Edmond, V1 Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is especially challenging in poor lighting and with fast motion. This is partly due to limitations of RGB cameras: To capture frames under low lighting, the exposure time needs to be increased, which leads to more motion blur. In contrast, event cameras, whic...
Slime Mold Graph Repository May 9, 2025 Mehlhorn, Tim; Dirnberger, Michael, 2025, "Slime Mold Graph Repository", https://doi.org/10.17617/3.XWST2Q, Edmond, V1 The KIST Europe Data Set Introduction This dataset focuses on networks formed by Physarum Polycephalum. Detailed methods are available in the companion paper. Description The KIST Europe data set contains raw and processed data of 81 identical experiments, carefully executed under constant laboratory conditions. The data was produced using the foll...
Predicting visual field boundaries from head features – Supplementary material Apr 15, 2025 Nakade, Uday; Manuel Spitschan, 2025, "Predicting visual field boundaries from head features – Supplementary material", https://doi.org/10.17617/3.N6QSJP, Edmond, V2 Data for Nakade, U. & Spitschan, M. (2025). Predicting visual field boundaries from head features. Journal of the Optical Society of America A, 42(6). https://doi.org/10.1364/JOSAA.551858. See README.md file. The code used to generate the data is available at this GitHub repository (https://github.com/tscnlab/NakadeEtAl_JOptSocAmA_2025) and archive...
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...
ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25) Mar 22, 2025 Xie, Xianghui, 2025, "ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25)", https://doi.org/10.17617/3.B6BM5R, Edmond, V3 A large scale synthetic dataset about dynamic human-object interactions. It features about 10 hours of video with 8337 sequences and 2M images. The generation of this dataset is described in the paper "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25). Please check the github repo for detailed file structure of the da...
Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)' Mar 19, 2025 Krueger, Matteo; Berkemeier, Thomas, 2025, "Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'", https://doi.org/10.17617/3.GIKHJL, Edmond, V1 We propose a novel approach to predict saturation vapor pressures using group contribution-assisted graph convolutional neural networks (GC2NN), which use both, molecular descriptors like molar mass and functional group counts, as well as molecular graphs containing atom and bond features, as representations of molecular structure. Molecular graphs...

MD simulation datasets of the article “Functional in vitro diversity of an intrinsically disordered plant protein during freeze–thawing is encoded by its structural plasticity”

Jun 16, 2025

Rindfleisch, Tobias, 2025, "MD simulation datasets of the article “Functional in vitro diversity of an intrinsically disordered plant protein during freeze–thawing is encoded by its structural plasticity”", https://doi.org/10.17617/3.G8TPPM, Edmond, V1

Intrinsically disordered late embryogenesis abundant (LEA) proteins play a central role in the tolerance of plants and other organisms to dehydration brought upon, for example, by freezing temperatures, high salt concentration, drought or desiccation, and many LEA proteins have been found to stabilize dehydration-sensitive cellular structures. Thei...

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...

NeRF-OSR: Neural Radiance Fields for Outdoor Scene Relighting

Jun 10, 2025

Rudnev, Viktor; Elgharib, Mohamed; Smith, William; Lingjie Lyu; Golyanik, Vladislav; Theobalt, Christian, 2025, "NeRF-OSR: Neural Radiance Fields for Outdoor Scene Relighting", https://doi.org/10.17617/3.6UULWL, Edmond, V1

Photorealistic editing of outdoor scenes from photographs requires a profound understanding of the image formation process and an accurate estimation of the scene geometry, reflectance and illumination. A delicate manipulation of the lighting can then be performed while keeping the scene albedo and geometry unaltered. We present NeRF-OSR, i.e., the...

EventNeRF: Neural Radiance Fields from a Single Colour Event Camera

Jun 10, 2025

Rudnev, Viktor; Elgharib, Mohamed; Theobalt, Christian; Golyanik, Vladislav, 2025, "EventNeRF: Neural Radiance Fields from a Single Colour Event Camera", https://doi.org/10.17617/3.FCVXVU, Edmond, V1

Asynchronously operating event cameras find many applications due to their high dynamic range, no motion blur, low latency and low data bandwidth. The field has seen remarkable progress during the last few years, and existing event-based 3D reconstruction approaches recover sparse point clouds of the scene. However, such sparsity is a limiting fact...

Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams

Jun 7, 2025

Rudnev, Viktor; Fox, Gereon; Elgharib, Mohamed; Theobalt, Christian; Golyanik, Vladislav, 2025, "Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view RGB and Event Streams", https://doi.org/10.17617/3.AD2LQB, Edmond, V1

Volumetric reconstruction of dynamic scenes is an important problem in computer vision. It is especially challenging in poor lighting and with fast motion. This is partly due to limitations of RGB cameras: To capture frames under low lighting, the exposure time needs to be increased, which leads to more motion blur. In contrast, event cameras, whic...

Slime Mold Graph Repository

May 9, 2025

Mehlhorn, Tim; Dirnberger, Michael, 2025, "Slime Mold Graph Repository", https://doi.org/10.17617/3.XWST2Q, Edmond, V1

The KIST Europe Data Set Introduction This dataset focuses on networks formed by Physarum Polycephalum. Detailed methods are available in the companion paper. Description The KIST Europe data set contains raw and processed data of 81 identical experiments, carefully executed under constant laboratory conditions. The data was produced using the foll...

Predicting visual field boundaries from head features – Supplementary material

Apr 15, 2025

Nakade, Uday; Manuel Spitschan, 2025, "Predicting visual field boundaries from head features – Supplementary material", https://doi.org/10.17617/3.N6QSJP, Edmond, V2

Data for Nakade, U. & Spitschan, M. (2025). Predicting visual field boundaries from head features. Journal of the Optical Society of America A, 42(6). https://doi.org/10.1364/JOSAA.551858. See README.md file. The code used to generate the data is available at this GitHub repository (https://github.com/tscnlab/NakadeEtAl_JOptSocAmA_2025) and archive...

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...

ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25)

Mar 22, 2025

Xie, Xianghui, 2025, "ProciGen-video dataset for "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25)", https://doi.org/10.17617/3.B6BM5R, Edmond, V3

A large scale synthetic dataset about dynamic human-object interactions. It features about 10 hours of video with 8337 sequences and 2M images. The generation of this dataset is described in the paper "InterTrack: Tracking Human Object Interaction without Object Templates" (3DV'25). Please check the github repo for detailed file structure of the da...

Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'

Mar 19, 2025

Krueger, Matteo; Berkemeier, Thomas, 2025, "Code and data for 'Improved vapor pressure predictions using group contribution-assisted graph convolutional neural networks (GC2NN)'", https://doi.org/10.17617/3.GIKHJL, Edmond, V1

We propose a novel approach to predict saturation vapor pressures using group contribution-assisted graph convolutional neural networks (GC2NN), which use both, molecular descriptors like molar mass and functional group counts, as well as molecular graphs containing atom and bond features, as representations of molecular structure. Molecular graphs...

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