1 code implementation • 18 Aug 2023 • Yuanhao Zhai, Mingzhen Huang, Tianyu Luan, Lu Dong, Ifeoma Nwogu, Siwei Lyu, David Doermann, Junsong Yuan
In this paper, we propose ATOM (ATomic mOtion Modeling) to mitigate this problem, by decomposing actions into atomic actions, and employing a curriculum learning strategy to learn atomic action composition.
no code implementations • 6 Dec 2022 • Tejaswini Ananthanarayana, Lipisha Chaudhary, Ifeoma Nwogu
In the task of gloss to pose, SignNet performed as well as its state-of-the-art (SoTA) counterparts and outperformed them in the task of text to pose, by showing noteworthy enhancements in BLEU 1 - BLEU 4 scores (BLEU 1: 31->39; ~26% improvement and BLEU 4: 10. 43->11. 84; ~14\% improvement) when tested on the popular RWTH PHOENIX-Weather-2014T benchmark dataset
no code implementations • 10 Jul 2022 • Renke Wang, Ifeoma Nwogu
We also test the model with a never-before-seen parent-infant dataset comprising of two different modes of communication between the dyads, and show that our model successfully delineates between the modes, based on their interacting dynamics.
1 code implementation • 3 Jun 2022 • Timothy Zee, Alexander G. Ororbia, Ankur Mali, Ifeoma Nwogu
While current deep learning algorithms have been successful for a wide variety of artificial intelligence (AI) tasks, including those involving structured image data, they present deep neurophysiological conceptual issues due to their reliance on the gradients that are computed by backpropagation of errors (backprop).
no code implementations • 1 Nov 2020 • Tharindu Ranasinghe, Sarthak Gupte, Marcos Zampieri, Ifeoma Nwogu
This paper describes the WLV-RIT entry to the Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task 2020.
no code implementations • 3 Sep 2020 • Nicholas Wilkins, Beck Cordes Galbraith, Ifeoma Nwogu
Finally, when compared with spoken languages, such as English, there has been limited research conducted into the linguistics of ASL.
no code implementations • 4 Dec 2019 • Nicholas Wilkins, Michael Johnson, Ifeoma Nwogu
While several methods for predicting uncertainty on deep networks have been recently proposed, they do not readily translate to large and complex datasets.
no code implementations • NeurIPS 2014 • Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju
Modeling data as being sampled from a union of independent subspaces has been widely applied to a number of real world applications.
no code implementations • 23 Sep 2014 • Ifeoma Nwogu, Goker Erdogan, Ilker Yildirim, Robert Jacobs
This paper presents a computational model of concept learning using Bayesian inference for a grammatically structured hypothesis space, and test the model on multisensory (visual and haptics) recognition of 3D objects.
no code implementations • 6 May 2014 • Yingbo Zhou, Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju
But due to the greedy scheme of the layerwise training technique, the parameters of lower layers are fixed when training higher layers.
no code implementations • 17 Jan 2014 • Devansh Arpit, Ifeoma Nwogu, Gaurav Srivastava, Venu Govindaraju
With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the rise.