Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation
R Zhang, Z Cao, S Yang, L Si, H Sun… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The label transition matrix has emerged as a widely accepted method for mitigating label
noise in machine learning. In recent years, numerous studies have centered on leveraging …
noise in machine learning. In recent years, numerous studies have centered on leveraging …
HeadDiff: Exploring Rotation Uncertainty With Diffusion Models for Head Pose Estimation
Y Wang, H Liu, Y Feng, Z Li, X Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we propose a probabilistic regression diffusion model for head pose
estimation, dubbed HeadDiff, which typically addresses the rotation uncertainty, especially …
estimation, dubbed HeadDiff, which typically addresses the rotation uncertainty, especially …
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
T Qiao, R Li, FWB Li, HPH Shum - arXiv preprint arXiv:2407.00917, 2024 - arxiv.org
Video-based Human-Object Interaction (HOI) recognition explores the intricate dynamics
between humans and objects, which are essential for a comprehensive understanding of …
between humans and objects, which are essential for a comprehensive understanding of …
Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes
BR Ardabili, S Yao, AD Pazho, L Bourque… - arXiv preprint arXiv …, 2023 - arxiv.org
The pervasive deployment of surveillance cameras produces a massive volume of data,
requiring nuanced interpretation. This study thoroughly examines data representation and …
requiring nuanced interpretation. This study thoroughly examines data representation and …