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9,051 to 9,060 of 9,060 Results
MS Word - 153.4 KB - MD5: e09884c10b72aaac1e6d09e83036a9ea
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...
Jan 8, 2025 - XU Chaohui
Xu, Chaohui, 2025, "BadHMP: Backdoor Attack against Human Motion Prediction", https://doi.org/10.21979/N9/YEDK7D, DR-NTU (Data), V1
Some selected benign/poisoned samples for BadHMP attack.
MPEG-4 Video - 18.6 MB - MD5: 8c4cc0ac9b5d2da7a919f58676c65808
Tabular Data - 4.7 KB - 2 Variables, 39 Observations - UNF:6:1b3KF9pMKVWMSyRSZrScjw==
Tabular Data - 226.2 KB - 37 Variables, 1200 Observations - UNF:6:PkbTHCk4r7n4Gk6OhA1XaQ==
Jan 3, 2025 - HE Qiang
He, Qiang, 2025, "Skin-inspired flexible and printed iontronic sensor enables bimodal sensing of robot skin for machine-learning-assisted object recognition", https://doi.org/10.21979/N9/QA4MOH, DR-NTU (Data), V1
Corresponding data
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...
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...
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