Avinash Kak

Avinash Kak

Purdue University

H-index: 65

North America-United States

About Avinash Kak

Avinash Kak, With an exceptional h-index of 65 and a recent h-index of 26 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Sensor and Camera Networks, High-Level Programming Languages, Software Engineering, Computer and Network Security.

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

Learning State-Invariant Representations of Objects from Image Collections with State, Pose, and Viewpoint Changes

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

Monte Carlo Integration in Bayesian Estimation

Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images

Adaptive supervised patchnce loss for learning h&e-to-ihc stain translation with inconsistent groundtruth image pairs

An Aligned Multi-Temporal Multi-Resolution Satellite Image Dataset for Change Detection Research

A Laplacian pyramid based generative h&e stain augmentation network

Multi-Satellite Image Alignment Over Large Areas with Featureless Regions

Avinash Kak Information

University

Position

Professor of Electrical and Computer Engineering

Citations(all)

45698

Citations(since 2020)

6458

Cited By

40617

hIndex(all)

65

hIndex(since 2020)

26

i10Index(all)

203

i10Index(since 2020)

63

Email

University Profile Page

Purdue University

Google Scholar

View Google Scholar Profile

Avinash Kak Skills & Research Interests

Sensor and Camera Networks

High-Level Programming Languages

Software Engineering

Computer and Network Security

Top articles of Avinash Kak

Title

Journal

Author(s)

Publication Date

Learning State-Invariant Representations of Objects from Image Collections with State, Pose, and Viewpoint Changes

arXiv preprint arXiv:2404.06470

Rohan Sarkar

Avinash Kak

2024/4/9

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

arXiv preprint arXiv:2403.00272

Rohan Sarkar

Avinash Kak

2024/3/1

Monte Carlo Integration in Bayesian Estimation

Avinash Kak

2023/11/26

Self-Supervised One-Shot Learning for Automatic Segmentation of StyleGAN Images

arXiv preprint arXiv:2303.05639

Ankit Manerikar

Avinash C Kak

2023/3/10

Adaptive supervised patchnce loss for learning h&e-to-ihc stain translation with inconsistent groundtruth image pairs

Fangda Li

Zhiqiang Hu

Wen Chen

Avinash Kak

2023/10/1

An Aligned Multi-Temporal Multi-Resolution Satellite Image Dataset for Change Detection Research

arXiv preprint arXiv:2302.12301

Rahul Deshmukh

Constantine J Roros

Amith Kashyap

Avinash C Kak

2023/2/23

A Laplacian pyramid based generative h&e stain augmentation network

IEEE Transactions on Medical Imaging

Fangda Li

Zhiqiang Hu

Wen Chen

Avinash Kak

2023/9/19

Multi-Satellite Image Alignment Over Large Areas with Featureless Regions

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Constantine J Roros

Rahul Deshmukh

Avinash C Kak

2023/9/5

Incorporating season and solar specificity into renderings made by a NeRF architecture using satellite images

arXiv preprint arXiv:2308.01262

Michael Gableman

Avinash Kak

2023/8/2

Uncertainty, edge, and reverse-attention guided generative adversarial network for automatic building detection in remotely sensed images

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

Somrita Chattopadhyay

Avinash C Kak

2022/4/12

maskgru: Tracking small objects in the presence of large background motions

arXiv preprint arXiv:2201.00467

Constantine J Roros

Avinash C Kak

2022/1/3

Semantic labeling of large-area geographic regions using multiview and multidate satellite images and noisy OSM training labels

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

Bharath Comandur

Avinash C Kak

2021/3/17

CheckSoft: A Scalable Event-Driven Software Architecture for Keeping Track of People and Things in People-Centric Spaces

arXiv preprint arXiv:2102.10513

Rohan Sarkar

Avinash C Kak

2021/2/21

DEBISim: A simulation pipeline for dual energy CT-based baggage inspection systems

Journal of X-ray science and technology

Ankit Manerikar

Fangda Li

Avinash C Kak

2021/1/1

Retrieval from software libraries for bug localization: A comparative study of generic and composite text models-A Retrospective

ACM SIGSOFT Software Engineering Notes

Shivani Rao

Avinash Kak

2021/7/21

Adaptive target recognition: A case study involving airport baggage screening

Ankit Manerikar

Tanmay Prakash

Avinash C Kak

2020/4/23

A spectrum-adaptive decomposition method for effective atomic number estimation using dual energy CT

Electronic Imaging

Ankit Manerikar

Fangda Li

Avinash C Kak

2020/1/26

Multi-camera Human Action Recognition: traditional approaches

Gaurav Srivastava

Johnny Park

Avinash C Kak

Birgi Tamersoy

JK Aggarwal

2020

Homography estimation with convolutional neural networks under conditions of variance

arXiv preprint arXiv:2010.01041

David Niblick

Avinash Kak

2020/10/2

A large-scale comparative evaluation of IR-based tools for bug localization

Shayan A Akbar

Avinash C Kak

2020/6/29

See List of Professors in Avinash Kak University(Purdue University)

Co-Authors

H-index: 60
Carla Brodley

Carla Brodley

North Eastern University

H-index: 55
Jennifer Dy

Jennifer Dy

North Eastern University

H-index: 52
seth hutchinson

seth hutchinson

Georgia Institute of Technology

H-index: 21
Henry Medeiros

Henry Medeiros

Marquette University

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