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Kannappan Palaniappan

Kannappan Palaniappan

D-Index & Metrics

Computer Science

D-Index
47
Citations
14411
World Ranking
6327
National Ranking
2827

Overview

Kannappan Palaniappan is affiliated with the University of Missouri in the United States. Their scholarly work primarily focuses on the fields of Computer Science and Engineering, with significant contributions across various interdisciplinary subfields.

The scientist's research encompasses several subfields including Computer Vision and Pattern Recognition, Aerospace Engineering, Materials Chemistry, Computer Networks and Communications, and Biophysics.

Key research topics addressed by Kannappan Palaniappan include:

  • Video Surveillance and Tracking Methods
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Remote Sensing and LiDAR Applications
  • Cell Image Analysis Techniques

Kannappan Palaniappan has published extensively, with work appearing in a diverse set of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Sensors Journal
  • Sensors
  • The FASEB Journal
  • Nature Methods

Selected recent publications include:

  • The Cell Tracking Challenge: 10 years of objective benchmarking (2023), published in Nature Methods
  • Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears (2020), published in IEEE Journal of Biomedical and Health Informatics
  • Malaria Screener: a smartphone application for automated malaria screening (2020), published in BMC Infectious Diseases
  • Predicting carbon nanotube forest attributes and mechanical properties using simulated images and deep learning (2021), published in npj Computational Materials
  • DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics (2021), published in Future Generation Computer Systems

Throughout their career, Kannappan Palaniappan has collaborated frequently with several researchers, including:

  • Filiz Bunyak
  • Prasad Calyam
  • Imad Eddine Toubal
  • Hadi Aliakbarpour
  • Guna Seetharaman

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Automatic Tuberculosis Screening Using Chest Radiographs

    Stefan Jaeger;Alexandros Karargyris;Sema Candemir;Les Folio

  • Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

    Sema Candemir;Stefan Jaeger;Kannappan Palaniappan;Jonathan P. Musco

  • CNN-based image analysis for malaria diagnosis

    Zhaohui Liang;Andrew Powell;Ilker Ersoy;Mahdieh Poostchi

  • Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models

    Rui Wang;Filiz Bunyak;Guna Seetharaman;Kannappan Palaniappan

  • Gaussian mixture density modeling, decomposition, and applications

    Xinhua Zhuang;Yan Huang;K. Palaniappan;Yunxin Zhao

  • A new algorithm for computational image analysis of deformable motion at high spatial and temporal resolution applied to root growth. Roughly uniform elongation in the meristem and also, after an abrupt acceleration, in the elongation zone.

    Corine M. van der Weele;Hai S. Jiang;Krishnan K. Palaniappan;Viktor B. Ivanov

  • GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries

    Chi-Ren Shyu;M. Klaric;G.J. Scott;A.S. Barb

  • Cell segmentation using coupled level sets and graph-vertex coloring

    Sumit K. Nath;Kannappan Palaniappan;Filiz Bunyak

  • The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results

    Michael Felsberg;Amanda Berg;Gustav Hager;Jorgen Ahlberg

  • Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

    Kannappan Palaniappan;Filiz Bunyak;Praveen Kumar;Ilker Ersoy

  • The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results

    Michael Felsberg;Matej Kristan;Jiři Matas;Aleš Leonardis

  • Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm

    Y. Huang;K. Palaniappan;X. Zhuang;J.E. Cavanaugh

  • UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring

    Siwei Lyu;Ming-Ching Chang;Dawei Du;Longyin Wen

  • UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring

    Siwei Lyu;Ming-Ching Chang;Dawei Du;Wenbo Li

  • Facial expression recognition for monitoring neurological disorders based on convolutional neural network

    Gozde Yolcu;Gozde Yolcu;Ismail Oztel;Ismail Oztel;Serap Kazan;Cemil Oz

  • Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking.

    Filiz Bunyak;Kannappan Palaniappan;Sumit Kumar Nath;Gunasekaran Seetharaman

  • Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears

    Yasmin M. Kassim;Kannappan Palaniappan;Feng Yang;Mahdieh Poostchi

  • Wide-area motion imagery (WAMI) exploitation tools for enhanced situation awareness

    E. Blasch;G. Seetharaman;K. Palaniappan;Haibin Ling

  • Persistent target tracking using likelihood fusion in wide-area and full motion video sequences

    Rengarajan Pelapur;Sema Candemir;Filiz Bunyak;Mahdieh Poostchi

Frequent Co-Authors

Guna Seetharaman
Guna Seetharaman United States Naval Research Laboratory
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Haibin Ling
Haibin Ling Westlake University
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Sameer Antani
Sameer Antani National Institutes of Health
Tobias I. Baskin
Tobias I. Baskin University of Massachusetts Amherst

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