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Found 17 papers, 3 papers with code
A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
In recent years, remote digital healthcare using online chats has gained momentum, especially in the Global South.
Language Patterns and Behaviour of the Peer Supporters in Multilingual Healthcare Conversational Forums
In this work, we conduct a quantitative linguistic analysis of the language usage patterns of multilingual peer supporters in two health-focused WhatsApp groups in Kenya comprising of youth living with HIV.
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
The healthcare landscape is evolving, with patients seeking more reliable information about their health conditions, treatment options, and potential risks.
The Art of Embedding Fusion: Optimizing Hate Speech Detection
Hate speech detection is a challenging natural language processing task that requires capturing linguistic and contextual nuances.
"Can't Take the Pressure?": Examining the Challenges of Blood Pressure Estimation via Pulse Wave Analysis
The use of observed wearable sensor data (e. g., photoplethysmograms [PPG]) to infer health measures (e. g., glucose level or blood pressure) is a very active area of research.
Visual Reinforcement Learning with Self-Supervised 3D Representations
A prominent approach to visual Reinforcement Learning (RL) is to learn an internal state representation using self-supervised methods, which has the potential benefit of improved sample-efficiency and generalization through additional learning signal and inductive biases.
Towards Automating Retinoscopy for Refractive Error Diagnosis
We develop a video processing pipeline that takes retinoscopic videos as input and estimates the net refractive error based on our proposed extension of the retinoscopy mathematical model.
Keratoconus Classifier for Smartphone-based Corneal Topographer
Similar to medical-grade topographers, SmartKC outputs curvature heatmaps and quantitative metrics that need to be evaluated by doctors for keratoconus diagnosis.
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?
The COVID-19 pandemic has brought out both the best and worst of language technology (LT).
Look Closer: Bridging Egocentric and Third-Person Views with Transformers for Robotic Manipulation
We propose a setting for robotic manipulation in which the agent receives visual feedback from both a third-person camera and an egocentric camera mounted on the robot's wrist.
Height Estimation of Children under Five Years using Depth Images
Malnutrition is a global health crisis and is the leading cause of death among children under five.
Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam
And the performance is bench-marked on a new IIIT-ILST dataset comprising of hundreds of real scene images containing text in the above mentioned scripts.
RespireNet: A Deep Neural Network for Accurately Detecting Abnormal Lung Sounds in Limited Data Setting
Auscultation of respiratory sounds is the primary tool for screening and diagnosing lung diseases.
Ranked #10 on
Audio Classification
on ICBHI Respiratory Sound Database
(using extra training data)
Gaze-based Autism Detection for Adolescents and Young Adults using Prosaic Videos
Autism often remains undiagnosed in adolescents and adults.
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Through a user study with 13 citizens and 3 authorities, we found that image is the most preferred medium to report civic issues.
End-To-End Audio Replay Attack Detection Using Deep Convolutional Networks with Attention
Our proposed approach uses a novel visual attention mechanism on time-frequency representations of utterances based on group delay features, via deep residual learning (an adaptation of ResNet-18 architecture).
Unconstrained Scene Text and Video Text Recognition for Arabic Script
For scripts like Arabic, a major challenge in developing robust recognizers is the lack of large quantity of annotated data.
