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Found 6 papers, 2 papers with code
Virtual Experience to Real World Application: Sidewalk Obstacle Avoidance Using Reinforcement Learning for Visually Impaired
We trained a Sidewalk Obstacle Avoidance Agent (SOAA) through reinforcement learning in a simulated robotic environment.
Eigen-CAM: Class Activation Map using Principal Components
At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of data.
Robust Modeling of Epistemic Mental States
This work identifies and advances some research challenges in the analysis of facial features and their temporal dynamics with epistemic mental states in dyadic conversations.
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
This paper presents "SafeNet"- an integrated assistive system to generate context-oriented image descriptions to assess incoming threats.
Person Identification with Visual Summary for a Safe Access to a Smart Home
SafeAccess is an integrated system designed to provide easier and safer access to a smart home for people with or without disabilities.
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherent noise associated with such data.
