World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
7894
World Ranking
12902
National Ranking
5206

Overview

Guna Seetharaman is affiliated with the United States Naval Research Laboratory in the United States. Their research spans multiple fields, primarily focusing on computer science and engineering, with significant contributions in subfields such as computer vision and pattern recognition, aerospace engineering, environmental engineering, geology, and information systems.

Their work covers a variety of topics, including video surveillance and tracking methods, robotics and sensor-based localization, remote sensing and LiDAR applications, advanced neural network applications, 3D surveying and cultural heritage, fire detection and safety systems, and advanced vision and imaging.

Seetharaman's publication record includes research articles in reputed venues. Recent papers include:

  • Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery (2020, IEEE Sensors Journal)
  • DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation (2023, International Journal of Computer Vision)
  • GLSNet++: Global and Local-Stream Feature Fusion for LiDAR Point Cloud Semantic Segmentation Using GNN Demixing Block (2024, IEEE Sensors Journal)
  • Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking (2021, 2021 IEEE 24th International Conference on Information Fusion (FUSION))
  • Visual Object Tracking VOT2015 Challenge Results (2024, Scientific Repository (Petra Christian University))

Their frequent coauthors include Kannappan Palaniappan, Filiz Bunyak, Noor Al-Shakarji, Ke Gao, and Hadi Aliakbarpour, indicating collaboration on diverse research projects across overlapping areas of expertise.

Seetharaman has contributed notably to publication venues such as the IEEE Sensors Journal, International Journal of Computer Vision, the IEEE International Conference on Information Fusion, Scientific Repository (Petra Christian University), and the International Journal of Business Information Systems.

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

  • Content based image retrieval using motif cooccurrence matrix

    N. Jhanwar;Subhasis Chaudhuri;Guna Seetharaman;Bertrand Y. Zavidovique

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

    Rui Wang;Filiz Bunyak;Guna Seetharaman;Kannappan Palaniappan

  • Median binary pattern for textures classification

    Adel Hafiane;Guna Seetharaman;Bertrand Zavidovique

  • Unmanned vehicles come of age: The DARPA grand challenge

    Guna Seetharaman;Arun Lakhotia;Erik Philip Blasch

  • 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

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

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

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

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

  • HitGraph: High-throughput Graph Processing Framework on FPGA

    Shijie Zhou;Rajgopal Kannan;Viktor K. Prasanna;Guna Seetharaman

  • 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

  • Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose

    Abhijith Punnappurath;Ambasamudram Narayanan Rajagopalan;Sima Taheri;Rama Chellappa

  • Multiscale Tikhonov-Total Variation Image Restoration Using Spatially Varying Edge Coherence Exponent

    V. B. Surya Prasath;Dmitry Vorotnikov;Rengarajan Pelapur;Shani Jose

  • Wide-Area Persistent Airborne Video: Architecture and Challenges

    Kannappan Palaniappan;Raghuveer M. Rao;Guna Seetharaman

  • Application Of Papoulis–Gerchberg Method In Image Super-Resolution and Inpainting

    Priyam Chatterjee;Sujata Mukherjee;Subhasis Chaudhuri;Guna Seetharaman

  • Semantic Concept Mining Based on Hierarchical Event Detection for Soccer Video Indexing

    Maheshkumar H. Kolekar;Kannappan Palaniappan;Somnath Sengupta;Gunasekaran S. Seetharaman

  • Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking

    F. Bunyak;K. Palaniappan;S.K. Nath;G. Seetharaman

  • Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification

    Adel Hafiane;Guna Seetharaman;Kannappan Palaniappan;Bertrand Zavidovique

  • VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results

    Pengfei Zhu;Longyin Wen;Dawei Du;Xiao Bian

  • Joint Adaptive Median Binary Patterns for texture classification

    Adel Hafiane;Kannappan Palaniappan;Guna Seetharaman

Frequent Co-Authors

Kannappan Palaniappan
Kannappan Palaniappan University of Missouri
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Subhasis Chaudhuri
Subhasis Chaudhuri Indian Institute of Technology Bombay
Dawei Du
Dawei Du ByteDance
Haibin Ling
Haibin Ling Westlake University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Longyin Wen
Longyin Wen ByteDance
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Wei Fan
Wei Fan Tencent (China)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees is a great next step for students interested in Computer Science in the USA. For those seeking quick advancement, shortest masters degree options can fast-track your career by allowing you to earn an advanced credential in as little as one year.

If you’re more focused on long-term value, pursuing one of the most worthwhile masters degrees can open doors to high-demand roles in technology, data science, cybersecurity, and more.

For those just starting or looking for a foundational credential, online associates degrees in Computer Science provide practical skills and can be a stepping stone to bachelor’s programs.

Cost is a significant factor for many students. Fortunately, there are affordable online colleges offering respected programs without compromising on quality. Considering these pathways can help you find the right fit for your budget and goals.

Best Scientists Citing Guna Seetharaman

Trending Scientists