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1,351 to 1,360 of 5,197 Results
Video Diffusion Models are Training-free Motion Interpreter and Controller
Nov 7, 2024 - S-Lab for Advanced Intelligence
Xiao, Zeqi; Zhou, Yifan; Yang, Shuai; Pan, Xingang, 2024, "Video Diffusion Models are Training-free Motion Interpreter and Controller", https://doi.org/10.21979/N9/HQM313, DR-NTU (Data), V1
Video generation primarily aims to model authentic and customized motion across frames, making understanding and controlling the motion a crucial topic. Most diffusion-based studies on video motion focus on motion customization with training-based paradigms, which, however, deman...
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
Oct 23, 2024 - S-Lab for Advanced Intelligence
Jiang, Xueying; Jin, Sheng; Zhang, Xiaoqin; Shao, Ling; Lu, Shijian, 2024, "MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders", https://doi.org/10.21979/N9/5ILJOM, DR-NTU (Data), V1
Monocular 3D object detection aims for precise 3D localization and identification of objects from a single-view image. Despite its recent progress, it often struggles while handling pervasive object occlusions that tend to complicate and degrade the prediction of object dimension...
Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Oct 9, 2024 - Kai Keng ANG
Premchand, Brian; Liang, Liyuan; Kok Soon, Phua; Zhang, Zhuo; Wang, Chuanchu; Guo, Ling; Ang, Jennifer; Koh, Juliana; Yong, Xueyi; Ang, Kai Keng, 2024, "Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring", https://doi.org/10.21979/N9/ZJM6WF, DR-NTU (Data), V1
Dataset comprised EEG and ECG data collected from 40 subjects performing MMIT and CVT Tasks as described in the paper.
CVT_20230802-113549_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 14.0 MB - MD5: e3529e64b92c86a140a9b498dfbbad9c
CVT_20230802-142932_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 14.1 MB - MD5: 32f886ae1ff0bad5e63b0debdb29654d
CVT_20230803-111022_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 14.0 MB - MD5: fc255104a008be31c3cd9e76fa4c2c85
CVT_20230803-144900_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 14.0 MB - MD5: fc204e3b07c21057a2963fcb73c33e1f
CVT_20230804-152432_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 14.0 MB - MD5: eb88c3743cd028da66c818ed07651cc1
CVT_20230807-103839_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 13.9 MB - MD5: 59315b6d97291c6ae404d55429febddd
CVT_20230807-135927_NeeuroSenze_1.cnt
Oct 9, 2024 - Related Data for: Wearable EEG-Based Brain–Computer Interface for Stress Monitoring
Unknown - 11.8 MB - MD5: 4909d3d4e812ba29b5e1df43a7ebef01
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