In this paper, we focus on exploring modality-temporal mu- tual information for RGB-D action recognition. In order to learn time- varying information and multi- ...
In this paper, we focus on exploring modality-temporal mutual information for RGB-D action recognition. In order to learn time-varying information and ...
Oct 6, 2018 · Our bilinear block is constructed based on the bilinear map, which learns the time-varying dynamics and multi-modal information in the sequences ...
In this paper, we focus on exploring modality-temporal mutual information for RGB-D action recognition. In order to learn time-varying information and ...
In this paper, we focus on exploring modality-temporal mutual information for RGB-D action recognition. In order to learn time-varying information and multi- ...
Mar 30, 2023 · The overall training objective is defined in Equation (6). (ii) Missing modality inference: We drop. K (=2) tokens (here, Depth, IR) and predict ...
Jul 7, 2023 · Human action recognition in RGB-D videos using motion sequence information and deep learning . Pattern Recognition 72 : 504 – 516 . 10.1016 ...
People also ask
What is an RGB-D sensor?
What does RGB-D stand for?
Specifically, we extract deep learning-based features and hand-crafted features from multimodal data (skeleton, depth, and RGB). In ...
Jun 21, 2021 · Classical machine learning-based action recognition techniques use handcrafted features and can be classified on the basis of RGB data [18], ...
This paper proposes a novel approach to action recognition from RGB-D cameras, in which depth features and RGB visual features are jointly used.
Missing: Deep | Show results with:Deep