College of Computing and Data Science (CCDS)

This dataverse is a collection of the College of Computing and Data Science’s research data.

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

41 to 50 of 229 Results

GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation Feb 5, 2025 - S-Lab for Advanced Intelligence Lan, Yushi; Zhou, Shangchen; Lyu, Zhaoyang; Hong, Fangzhou; Yang, Shuai; Dai, Bo; Pan, Xingang; Loy, Chen Change, 2025, "GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation", https://doi.org/10.21979/N9/ZQ85KI, DR-NTU (Data), V1 While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D generation framework that addresses these challenges, offering scalable, high-quali...
Trajectory attention for fine-grained video motion control Feb 4, 2025 - S-Lab for Advanced Intelligence Xiao, Zeqi; Ouyang, Wenqi; Zhou, Yifan; Yang, Shuai; Yang, Lei; Si, Jianlou; Pan, Xingang, 2025, "Trajectory attention for fine-grained video motion control", https://doi.org/10.21979/N9/II0EM4, DR-NTU (Data), V1 Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention...
Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration Feb 4, 2025 - S-Lab for Advanced Intelligence Liao, Kang; Yue, Zongsheng; Wang, Zhouxia; Loy, Chen Change, 2025, "Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration", https://doi.org/10.21979/N9/DMB2QK, DR-NTU (Data), V1 Although learning-based image restoration methods have made significant progress, they still struggle with limited generalization to real-world scenarios due to the substantial domain gap caused by training on synthetic data. Existing methods address this issue by improving data...
Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction Feb 3, 2025 - Coronavirus Neutralizing Antibodies Rashid, Shamima; Wan, Zhang; Kwoh, Chee Keong; Lin, Zhuoyi; Ng, Shaun Yue Hao; Yin, Rui; Senthilnath, J., 2025, "Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction", https://doi.org/10.21979/N9/IZZKTZ, DR-NTU (Data), V1, UNF:6:XqxFQ/x98XTQs7+Ns8GGJw== [fileUNF] This dataset contains 3 versions of epitope-paratope data and their neutralizing data for the SARS-CoV 2 virus. We pre-processed and annotated antibody-antigen binding data from the Observed Antibody Space (OAS) database to obtain these paratopes and epitopes.
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024) Jan 16, 2025 - S-Lab for Advanced Intelligence Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2025, "SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)", https://doi.org/10.21979/N9/JDZOJE, DR-NTU (Data), V1 Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every single frame while the temporal motion relati...
FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls Jan 16, 2025 - S-Lab for Advanced Intelligence Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1 We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre...
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment Jan 15, 2025 - S-Lab for Advanced Intelligence Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1 Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models...
Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images Jan 10, 2025 - S-Lab for Advanced Intelligence Kong, Jiayi; Song, Xurui; Huai, Shuo; Xu, Baixin; Luo, Jun; He, Ying, 2025, "Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images", https://doi.org/10.21979/N9/T3AGA8, DR-NTU (Data), V1 While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Individuals are particularly sensitive to facial features, and facial image leakage can lead to many malic...
Learning 3D Garment Animation from Trajectories of A Piece of Cloth Jan 3, 2025 - S-Lab for Advanced Intelligence Shao, Yidi; Loy, Chen Change; Dai, Bo, 2025, "Learning 3D Garment Animation from Trajectories of A Piece of Cloth", https://doi.org/10.21979/N9/4YSCML, DR-NTU (Data), V1 Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in animating diverse garments under versatile scenarios. Nevertheless, to mimic the deformations of the...
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy Jan 3, 2025 - S-Lab for Advanced Intelligence Xu, Qianxiong; Long, Cheng; Li, Ziyue; Ruan, Sijie; Zhao, Rui; Li, Zhishuai, 2025, "KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy", https://doi.org/10.21979/N9/QH6QZN, DR-NTU (Data), V1 Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserved nodes (without sensors) using the observed nodes (with sensors). The essence of kriging task is tr...

GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation

Feb 5, 2025 - S-Lab for Advanced Intelligence

Lan, Yushi; Zhou, Shangchen; Lyu, Zhaoyang; Hong, Fangzhou; Yang, Shuai; Dai, Bo; Pan, Xingang; Loy, Chen Change, 2025, "GaussianAnything: Interactive Point Cloud Latent Diffusion for 3D Generation", https://doi.org/10.21979/N9/ZQ85KI, DR-NTU (Data), V1

While 3D content generation has advanced significantly, existing methods still face challenges with input formats, latent space design, and output representations. This paper introduces a novel 3D generation framework that addresses these challenges, offering scalable, high-quali...

Trajectory attention for fine-grained video motion control

Feb 4, 2025 - S-Lab for Advanced Intelligence

Xiao, Zeqi; Ouyang, Wenqi; Zhou, Yifan; Yang, Shuai; Yang, Lei; Si, Jianlou; Pan, Xingang, 2025, "Trajectory attention for fine-grained video motion control", https://doi.org/10.21979/N9/II0EM4, DR-NTU (Data), V1

Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention...

Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration

Feb 4, 2025 - S-Lab for Advanced Intelligence

Liao, Kang; Yue, Zongsheng; Wang, Zhouxia; Loy, Chen Change, 2025, "Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration", https://doi.org/10.21979/N9/DMB2QK, DR-NTU (Data), V1

Although learning-based image restoration methods have made significant progress, they still struggle with limited generalization to real-world scenarios due to the substantial domain gap caused by training on synthetic data. Existing methods address this issue by improving data...

Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction

Feb 3, 2025 - Coronavirus Neutralizing Antibodies

Rashid, Shamima; Wan, Zhang; Kwoh, Chee Keong; Lin, Zhuoyi; Ng, Shaun Yue Hao; Yin, Rui; Senthilnath, J., 2025, "Related Data for: PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction", https://doi.org/10.21979/N9/IZZKTZ, DR-NTU (Data), V1, UNF:6:XqxFQ/x98XTQs7+Ns8GGJw== [fileUNF]

This dataset contains 3 versions of epitope-paratope data and their neutralizing data for the SARS-CoV 2 virus. We pre-processed and annotated antibody-antigen binding data from the Observed Antibody Space (OAS) database to obtain these paratopes and epitopes.

SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)

Jan 16, 2025 - S-Lab for Advanced Intelligence

Hu, Tao; Hong, Fangzhou; Liu, Ziwei, 2025, "SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering (CVPR 2024)", https://doi.org/10.21979/N9/JDZOJE, DR-NTU (Data), V1

Dynamic human rendering from video sequences has achieved remarkable progress by formulating the rendering as a mapping from static poses to human images. However, existing methods focus on the human appearance reconstruction of every single frame while the temporal motion relati...

FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls

Jan 16, 2025 - S-Lab for Advanced Intelligence

Hu, Tao; Hong, Fangzhou; Chen, Zhaoxi; Liu, Ziwei, 2025, "FashionEngine: Interactive 3D Human Generation and Editing via Multimodal Controls", https://doi.org/10.21979/N9/WRPWAN, DR-NTU (Data), V1

We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine automates the 3D human production with thre...

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment

Jan 15, 2025 - S-Lab for Advanced Intelligence

Liu, Chenxi; Xu, Qianxiong; Miao, Hao; Yang, Sun; Zhang, Lingzheng; Long, Cheng; Li, Ziyue; Zhao, Rui, 2025, "TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment", https://doi.org/10.21979/N9/V1XDVB, DR-NTU (Data), V1

Multivariate time series forecasting (MTSF) aims to learn temporal dynamics among variables to forecast future time series. Existing statistical and deep learning-based methods suffer from limited learnable parameters and small-scale training data. Recently, large language models...

Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

Jan 10, 2025 - S-Lab for Advanced Intelligence

Kong, Jiayi; Song, Xurui; Huai, Shuo; Xu, Baixin; Luo, Jun; He, Ying, 2025, "Replication Data for: Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images", https://doi.org/10.21979/N9/T3AGA8, DR-NTU (Data), V1

While 3D head reconstruction is widely used for modeling, existing neural reconstruction approaches rely on high-resolution multi-view images, posing notable privacy issues. Individuals are particularly sensitive to facial features, and facial image leakage can lead to many malic...

Learning 3D Garment Animation from Trajectories of A Piece of Cloth

Jan 3, 2025 - S-Lab for Advanced Intelligence

Shao, Yidi; Loy, Chen Change; Dai, Bo, 2025, "Learning 3D Garment Animation from Trajectories of A Piece of Cloth", https://doi.org/10.21979/N9/4YSCML, DR-NTU (Data), V1

Garment animation is ubiquitous in various applications, such as virtual reality, gaming, and film producing. Recently, learning-based approaches obtain compelling performance in animating diverse garments under versatile scenarios. Nevertheless, to mimic the deformations of the...

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy

Jan 3, 2025 - S-Lab for Advanced Intelligence

Xu, Qianxiong; Long, Cheng; Li, Ziyue; Ruan, Sijie; Zhao, Rui; Li, Zhishuai, 2025, "KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy", https://doi.org/10.21979/N9/QH6QZN, DR-NTU (Data), V1

Sensors are commonly deployed to perceive the environment. However, due to the high cost, sensors are usually sparsely deployed. Kriging is the tailored task to infer the unobserved nodes (without sensors) using the observed nodes (with sensors). The essence of kriging task is tr...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications