p kaushik

About p kaushik

p kaushik, With an exceptional h-index of 4 and a recent h-index of 3 (since 2020), a distinguished researcher at Jaypee Institute of Information Technology, specializes in the field of Deep learning.

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

Video Captioning Based on Graph Neural Network Made from Action Knowledge and Object Features

A Novel Method for Sequence Generation for Video Captioning by Estimating the Objects Motion in Temporal Domain

Video Annotation & Descriptions using Machine Learning & Deep learning: Critical Survey of methods

Fast Video Classification based on unidirectional temporal differences based dynamic spatial selection with custom loss function and new class suggestion

Context Bucketed Text Responses using Generative Adversarial Neural Network in Android Application with Tens or Flow-Lite Framework

COVID-19 Drug Discovery and Comparison Between Generative and Predictive Approach

p kaushik Information

University

Position

___

Citations(all)

41

Citations(since 2020)

33

Cited By

18

hIndex(all)

4

hIndex(since 2020)

3

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Jaypee Institute of Information Technology

Google Scholar

View Google Scholar Profile

p kaushik Skills & Research Interests

Deep learning

Top articles of p kaushik

Title

Journal

Author(s)

Publication Date

Video Captioning Based on Graph Neural Network Made from Action Knowledge and Object Features

International Journal of Performability Engineering

Prashant Kaushik

Vikas Saxena

Amarjeet Prajapati

2024/4/28

A Novel Method for Sequence Generation for Video Captioning by Estimating the Objects Motion in Temporal Domain

Prashant Kaushik

Vikas Saxena

Amarjeet Prajapati

2024/3/15

Video Annotation & Descriptions using Machine Learning & Deep learning: Critical Survey of methods

Prashant Kaushik

Vikas Saxena

2023/8/3

Fast Video Classification based on unidirectional temporal differences based dynamic spatial selection with custom loss function and new class suggestion

Prashant Kaushik

Vikas Saxena

2023/5/11

Context Bucketed Text Responses using Generative Adversarial Neural Network in Android Application with Tens or Flow-Lite Framework

Prashant Kaushik

K Vimal Kumar

Prantik Biswas

2022/12/1

COVID-19 Drug Discovery and Comparison Between Generative and Predictive Approach

Teghdeep Kapoor

Tanya Pandhi

Prashant Kaushik

2022/11

See List of Professors in p kaushik University(Jaypee Institute of Information Technology)