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Found 11 papers, 0 papers with code
Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
Endeavors in indoor robotic navigation rely on the accuracy of segmentation models to identify free space in RGB images.
Depth-guided Free-space Segmentation for a Mobile Robot
Accurate indoor free-space segmentation is a challenging task due to the complexity and the dynamic nature that indoor environments exhibit.
Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
Functional magnetic resonance imaging (fMRI) is a neuroimaging technique that records neural activations in the brain by capturing the blood oxygen level in different regions based on the task performed by a subject.
Sequential Late Fusion Technique for Multi-modal Sentiment Analysis
Multi-modal sentiment analysis plays an important role for providing better interactive experiences to users.
Towards a Multi-purpose Robotic Nursing Assistant
There is a need for a unified system that not only performs tasks that would assist nurses and reduce their burden but also perform tasks that help a patient.
Automated system to measure Tandem Gait to assess executive functions in children
Furthermore in order to improve the accuracy of the system, a deep learning based model was pre-trained on NTU-RGB+D 120 dataset and then it was fine-tuned on our gait dataset.
A Survey on Contrastive Self-supervised Learning
Self-supervised learning has gained popularity because of its ability to avoid the cost of annotating large-scale datasets.
Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
Subsequently, results prove superiority of the proposed method over baseline methods for providing a useful representation of videos used in human activity recognition performed on datasets such as KTH, UCF101 and Ball-Drop.
Generative Adversarial Network
Human Activity Recognition
+1
Towards Deep Learning based Hand Keypoints Detection for Rapid Sequential Movements from RGB Images
Hand keypoints detection and pose estimation has numerous applications in computer vision, but it is still an unsolved problem in many aspects.
Improving the Accuracy of the CogniLearn System for Cognitive Behavior Assessment
As a result of these improvements, the accuracy in recognizing cases where subjects touch their toes has gone from 76. 46% in our previous work to 97. 19% in this paper.
Evaluation of Online Dialogue Policy Learning Techniques
The number of applied Dialogue Systems is ever increasing in several service providing and other applications as a way to efficiently and inexpensively serve large numbers of customers.
