Ranga Raju Vatsavai

Ranga Raju Vatsavai

North Carolina State University

H-index: 30

North America-United States

About Ranga Raju Vatsavai

Ranga Raju Vatsavai, With an exceptional h-index of 30 and a recent h-index of 17 (since 2020), a distinguished researcher at North Carolina State University, specializes in the field of Spatiotemporal Databases and Data Mining, Remote Sensing and Image Understanding, GeoAI, HPC.

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

Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent

Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images

Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity

Application of Transfer Learning in Remote Sensing Crop Image Classification

The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022)

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring

Ranga Raju Vatsavai Information

University

Position

Associate Professor Computer Science Dept.

Citations(all)

4958

Citations(since 2020)

1571

Cited By

3566

hIndex(all)

30

hIndex(since 2020)

17

i10Index(all)

67

i10Index(since 2020)

27

Email

University Profile Page

North Carolina State University

Google Scholar

View Google Scholar Profile

Ranga Raju Vatsavai Skills & Research Interests

Spatiotemporal Databases and Data Mining

Remote Sensing and Image Understanding

GeoAI

HPC

Top articles of Ranga Raju Vatsavai

Title

Journal

Author(s)

Publication Date

Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery

Xian Yang

Yifan Zhao

Ranga Raju Vatsavai

2023/8/23

Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent

Junfeng Liu

Zhuocheng Mei

Kewen Peng

Ranga Raju Vatsavai

2023/12/4

Novel Deep Learning Framework for Imputing Holes in Orthorectified VHR Images

Sai Venkata Vinay Kumar Samudrala

Yifan Zhao

Ranga Raju Vatsavai

2023/7/16

Q-learning Based Simulation Tool for Studying Effectiveness of Dynamic Application of Fertilizer on Crop Productivity

Zhuocheng Mei

Ranga Vatsavai

Rada Chirkova

2023/11/13

Application of Transfer Learning in Remote Sensing Crop Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Krishna Karthik Gadiraju

Ranga Raju Vatsavai

2023/4/25

The 10th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2022)

SIGSPATIAL Special

Ashwin Shashidharan

Krishna Karthik Gadiraju

Ranga Raju Vatsavai

Varun Chandola

2023/11/7

Remote Sensing Based Crop Type Classification Via Deep Transfer Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Krishna Karthik Gadiraju

Ranga Raju Vatsavai

2023

Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring

Junfeng Liu

Christopher Symons

Ranga Raju Vatsavai

2023/11/6

Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer

Yifan Zhao

Xian Yang

Ranga Raju Vatsavai

2023/9/17

Real-Time Change Detection At the Edge

Krishna Karthik Gadiraju

Zexi Chen

Bharathkumar Ramachandra

Ranga Raju Vatsavai

2022/12/12

Persona-based conversational ai: State of the art and challenges

Junfeng Liu

Christopher Symons

Ranga Raju Vatsavai

2022/11/28

Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data

Ashwin Shashidharan

Krishna Karthik Gadiraju

Varun Chandola

Ranga Raju Vatsavai

2022/11/1

Deep residual network with multi-image attention for imputing under clouds in satellite imagery

Xian Yang

Yifan Zhao

Ranga Raju Vatsavai

2022/8/21

Multi-stream deep residual network for cloud imputation using multi-resolution remote sensing imagery

Yifan Zhao

Xian Yang

Ranga Raju Vatsavai

2022/12/12

On the unreasonable efficiency of state space clustering in personalization tasks

Anton Dereventsov

Raju Vatsavai

Clayton G Webster

2021/12/7

Perceptual metric learning for video anomaly detection

Machine Vision and Applications

Bharathkumar Ramachandra

Michael Jones

Ranga Raju Vatsavai

2021/5

The 9th ACM SIGSPATIAL International Workshop on Analytics for Big Spatial Data (BigSpatial 2020) November 3, 2020

SIGSPATIAL Special

Ashwin Shashidharan

Varun Chandola

Ranga Raju Vatsavai

2021/1/25

Local clustering with mean teacher for semi-supervised learning

Zexi Chen

Benjamin Dutton

Bharathkumar Ramachandra

Tianfu Wu

Ranga Raju Vatsavai

2021/1/10

A scalable system for searching large-scale multi-sensor remote sensing image collections

Yifan Zhao

Xian Yang

Ranga Raju Vatsavai

2021/12/15

Multimodal deep learning based crop classification using multispectral and multitemporal satellite imagery

Krishna Karthik Gadiraju

Bharathkumar Ramachandra

Zexi Chen

Ranga Raju Vatsavai

2020/8/23

See List of Professors in Ranga Raju Vatsavai University(North Carolina State University)

Co-Authors

H-index: 79
Nitesh V Chawla, FACM, FAAAI, FIEEE

Nitesh V Chawla, FACM, FAAAI, FIEEE

University of Notre Dame

H-index: 73
Joao Gama

Joao Gama

Universidade do Porto

H-index: 71
Shashi Shekhar

Shashi Shekhar

University of Minnesota-Twin Cities

H-index: 61
Chang-Tien Lu

Chang-Tien Lu

Virginia Polytechnic Institute and State University

H-index: 47
Mohamed Medhat Gaber

Mohamed Medhat Gaber

Birmingham City University

H-index: 45
Auroop R Ganguly

Auroop R Ganguly

North Eastern University

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