281 to 290 of 297 Results
Jan 21, 2025 - Pradeep Kumar GOPALAKRISHNAN
Gopalakrishnan, Pradeep Kumar, 2025, "Supplementary Material for PhD Thesis", https://doi.org/10.21979/N9/GNBO93, DR-NTU (Data), V1
This dataset is part of the Supplementary Material of Pradeep Kumar Gopalakrishnan's PhD thesis. |
Jan 20, 2025 - Fuying DAO
Dao, Fuying; Melissa Jane Fullwood, 2025, "AI4Loop Reveals Increased Chromatin Interactions in Cancers that Constitute Therapeutic Vulnerabilities Across 12,000 Samples", https://doi.org/10.21979/N9/ORBU74, DR-NTU (Data), V1, UNF:6:yu/jmM9lAF6qjIBWiJ1ucw== [fileUNF]
Changes in 3D chromatin interactions may represent actionable vulnerabilities in cancer, yet comprehensive profiling at scale remains technically and financially challenging. Here, we present AI4Loop, a deep learning framework that predicts genome-wide promoter-promoter chromatin... |
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... |
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... |
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... |
Jan 14, 2025 - GAO Tianshu
Gao, Tianshu, 2025, "Related Data for: 022116-00001", https://doi.org/10.21979/N9/ANA61C, DR-NTU (Data), V1, UNF:6:bPhXsI11A9D/LZAdYpXmOA== [fileUNF]
Polymer Electrolyte Membrane (PEM) and Seawater Electrolyzers Assembled from Single-Atom Catalysts |
Jan 11, 2025 - Sulfikar AMIR
Amir, Sulfikar, 2025, "Post-pandemic Health Behavior", https://doi.org/10.21979/N9/J95WLR, DR-NTU (Data), V2, UNF:6:XIYsWx7OvWDE7KfOYfztgA== [fileUNF]
This dataset results from a 2024 national survey of health behavior in Indonesia |
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... |
