World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
5490
World Ranking
13474
National Ranking
5386

Overview

Octavia Camps is affiliated with Northeastern University in the United States and has a research profile spanning multiple fields within computer science and engineering. Their main areas of study include Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing, and Aerospace Engineering.

The scientist's work touches upon various significant topics, such as:

  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Model Reduction and Neural Networks
  • Diabetic Foot Ulcer Assessment and Management
  • Gait Recognition and Analysis

Octavia Camps has published extensively in several venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • IEEE Transactions on Radar Systems
  • IEEE Transactions on Automatic Control
  • IEEE Robotics and Automation Letters

Recent papers authored or coauthored by Octavia Camps cover a range of applied topics in video analysis, radar imagery, and system identification, including:

  • Pixel-Wise Localization of Concealed Objects on Millimeter-Wave Radar Images Using Deep Learning, 2024, IEEE Transactions on Radar Systems
  • Learning Disentangled Representations of Video with Missing Data, 2020, arXiv (Cornell University)
  • Key Frame Proposal Network for Efficient Pose Estimation in Videos, 2020, arXiv (Cornell University)
  • Enhancing Transformer Backbone for Egocentric Video Action Segmentation, 2023, arXiv (Cornell University)
  • An Algebraic Approach to Efficient Identification of a Class of Wiener Systems, 2020, IFAC-PapersOnLine

Frequent collaborators include Mario Sznaier, Sandesh Ghimire, Jennifer Dy, Yuexi Zhang, and Mohsen Moghaddam, indicating a networked research environment across related specializations.

Best Publications

  • Person Re-Identification Using Kernel-Based Metric Learning Methods

    Fei Xiong;Mengran Gou;Octavia I. Camps;Mario Sznaier

  • Wavelets and electromagnetic power system transients

    D.C. Robertson;O.I. Camps;J.S. Mayer;W.B. Gish

  • The Way They Move: Tracking Multiple Targets with Similar Appearance

    Caglayan Dicle;Octavia I. Camps;Mario Sznaier

  • A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

    Srikrishna Karanam;Mengran Gou;Ziyan Wu;Angels Rates-Borras

  • Towards Visually Explaining Variational Autoencoders

    Wenqian Liu;Runze Li;Meng Zheng;Srikrishna Karanam

  • Cross-view activity recognition using Hankelets

    Binlong Li;Octavia I. Camps;Mario Sznaier

  • Weighted Parzen windows for pattern classification

    G.A. Babich;O.I. Camps

  • A Sparsification Approach to Set Membership Identification of Switched Affine Systems

    N. Ozay;M. Sznaier;C. M. Lagoa;O. I. Camps

  • Detection of obstacles in the flight path of an aircraft

    T. Gandhi;Mau-Tsuen Yang;R. Kasturi;O. Camps

  • Object recognition using appearance-based parts and relations

    Chien-Yuan Huang;O.I. Camps;T. Kanungo

  • DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset

    Mengran Gou;Srikrishna Karanam;Wenqian Liu;Octavia Camps

  • Dynamic Appearance Modeling for Human Tracking

    Hwasup Lim;O.I. Camps;M. Sznaier;V.I. Morariu

  • Activity recognition using dynamic subspace angles

    Binlong Li;Mustafa Ayazoglu;Teresa Mao;Octavia I. Camps

  • Segmentation for robust tracking in the presence of severe occlusion

    C. Gentile;O. Camps;M. Sznaier

  • Efficient Temporal Sequence Comparison and Classification Using Gram Matrix Embeddings on a Riemannian Manifold

    Xikang Zhang;Yin Wang;Mengran Gou;Mario Sznaier

  • A Rank Minimization Approach to Video Inpainting

    Tao Ding;M. Sznaier;O.I. Camps

  • Line-based recognition using a multidimensional Hausdorff distance

    Xilin Yi;O.I. Camps

  • Dynamic subspace-based coordinated multicamera tracking

    Mustafa Ayazoglu;Binlong Li;Caglayan Dicle;Mario Sznaier

  • From the Lab to the Real World: Re-identification in an Airport Camera Network

    Octavia Camps;Mengran Gou;Tom Hebble;Srikrishna Karanam

  • A sparsification approach to set membership identification of a class of affine hybrid systems

    N. Ozay;M. Sznaier;C. Lagoa;O. Camps

  • A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

    Srikrishna Karanam;Mengran Gou;Ziyan Wu;Angels Rates-Borras

Frequent Co-Authors

Mario Sznaier
Mario Sznaier Northeastern University
Rangachar Kasturi
Rangachar Kasturi University of South Florida
Richard J. Radke
Richard J. Radke Rensselaer Polytechnic Institute
Dana H. Brooks
Dana H. Brooks Northeastern University
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Bir Bhanu
Bir Bhanu University of California, Riverside
Linda G. Shapiro
Linda G. Shapiro University of Washington
Robert M. Haralick
Robert M. Haralick City University of New York
Stan Sclaroff
Stan Sclaroff Boston University
Gilead Tadmor
Gilead Tadmor Northeastern University

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

Expanding your Computer Science studies in the USA can open the door to various related online degrees and career paths. Students often consider interdisciplinary fields to broaden their expertise and employment prospects. Options such as engineering, physics, and data science blend well with computer science fundamentals.

If you are looking for engineering programs, you might explore the cheapest mechanical engineering degree online or browse courses in the rapidly evolving field of electronics by considering online electrical engineering courses USA. These qualifications can help build strong math and problem-solving skills, critical for tech careers.

For students interested in combining scientific theory with computation, finding the best online physics degree can add valuable analytical depth. Alternatively, the field of data science is flourishing—earning an affordable data science degree can lead to roles in AI, analytics, and machine learning.

Each of these related degrees complements a background in computer science and can help you diversify your career opportunities in the technology sector.

Best Scientists Citing Octavia Camps

Trending Scientists

Recently Published Articles