Hemanth Venkateswara

picture of CUbiC member Hemanth Venkateswara

Hemanth Venkateswara

Position

Assistant Research Professor, School of Computing Informatics and Decision Systems Engineering

Department

Computer Science

Joined CUbiC

Contact

hemanthv@asu.edu

Research Profile

Areas of Research: Machine Learning and Computer Vision.

Publications

Multi-label Deep Active Learning with Label Correlation
Ranganathan H, Venkateswara H, Chakraborty S, Panchanathan S,
2018
Deep Hashing Network for Unsupervised Domain Adaptation
Venkateswara H, Eusebio J, Chakraborty S, Panchanathan S,
2017
Deep Active Learning for Image Classification
Raganathan H, Venkateswara H, Chakraborty S, Panchanathan S,
2017
A Reinforcement Learning Approach to Improving the Intelligibility of Dysarthric Speech
Moore M, Venkateswara H, Panchanathan S,
2017
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptations
Venkateswara H, Chakraborty S, McDaniel T, Panchanathan S,
2017

Projects

Effective communication requires a shared context. In face-to-face interactions, parts of this shared context are the number and location of people, their facial expression, head pose, eye contact, and movements of each person engaged in a conversation. Faces serve an…

Individuals with cognitive, developmental and learning disabilities – in particular, Autism Spectrum Disorders (ASD) - have a significant social communication impairment, a situation that can often lead to social isolation. Reducing the need for formal care services for…

Motivated by the vision of the future, automated analysis of nonverbal behavior, and especially of facial behavior, has attracted increasing attention in Computer Vision, Pattern Recognition, and Human-Computer interaction. With facial expression being one of the most…

Speech is a complicated process with many potential breakpoints. Speech that is less intelligible due to a neurological disorder is referred to as dysarthric speech. Individuals with dysarthric speech generally find it difficult to communicate with unfamiliar…