ProfessorsProfessors of Purdue UniversityNaveen Madapana

Naveen Madapana

Purdue University

H-index: 8

North America-United States

About Naveen Madapana

Naveen Madapana, With an exceptional h-index of 8 and a recent h-index of 7 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Machine Learning, Zero-Shot and Few-Shot Learning, Deep Learning, Gesture recognition, Human-computer interaction.

His recent articles reflect a diverse array of research interests and contributions to the field:

Touchless interfaces in the operating room: A study in gesture preferences

JSSE: Joint sequential semantic encoder for zero-shot event recognition

Fazt: Few and Zero-Shot Framework to Learn Tempo-Visual Events from Little or no Data

One-shot image recognition using prototypical encoders with reduced hubness

ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few-Shot Learning

Fingers see things differently (FIST-D): An object aware visualization and manipulation framework based on tactile observations

Zero-shot learning for gesture recognition

Agreement study using gesture description analysis

Naveen Madapana Information

University	Purdue University
Position	___
Citations(all)	171
Citations(since 2020)	150
Cited By	68
hIndex(all)	8
hIndex(since 2020)	7
i10Index(all)	7
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Purdue University
Google Scholar	View Google Scholar Profile

Naveen Madapana Skills & Research Interests

Machine Learning

Zero-Shot and Few-Shot Learning

Deep Learning

Gesture recognition

Human-computer interaction

Top articles of Naveen Madapana

Title	Journal	Author(s)	Publication Date
Touchless interfaces in the operating room: A study in gesture preferences	International Journal of Human–Computer Interaction	Naveen Madapana Daniela Chanci Glebys Gonzalez Lingsong Zhang Juan P Wachs	2023/2/7
JSSE: Joint sequential semantic encoder for zero-shot event recognition	IEEE Transactions on Artificial Intelligence	Naveen Madapana Juan P Wachs	2022/9/23
Fazt: Few and Zero-Shot Framework to Learn Tempo-Visual Events from Little or no Data		Naveen Madapana	2021
One-shot image recognition using prototypical encoders with reduced hubness		Chenxi Xiao Naveen Madapana Juan Wachs	2021
ZF-SSE: A Unified Sequential Semantic Encoder for Zero-Few-Shot Learning		Naveen Madapana Juan Wachs	2021/12/15
Fingers see things differently (FIST-D): An object aware visualization and manipulation framework based on tactile observations	IEEE Robotics and Automation Letters	Chenxi Xiao Naveen Madapana Juan Wachs	2021/3/8
Zero-shot learning for gesture recognition		Naveen Madapana	2020/10/21
Agreement study using gesture description analysis	IEEE transactions on human-machine systems	Naveen Madapana Glebys Gonzalez Lingsong Zhang Richard Rodgers Juan Wachs	2020/6/1
Correlation Between Gestures’ Qualitative Properties and Usa-bility metrics	Proceedings of the Human Factors and Ergonomics Society Annual Meeting	Daniela Chanci Naveen Madapana Glebys Gonzalez Juan Wachs	2020/12
Feature selection for zero-shot gesture recognition		Naveen Madapana Juan Wachs	2020/11/16
Gesture agreement assessment using description vectors		Naveen Madapana Glebys Gonzalez Juan Wachs	2020/11/16