World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6553
World Ranking
10661
National Ranking
34

Overview

Mario F. M. Campos is affiliated with Universidade Federal de Minas Gerais in Brazil. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Aerospace Engineering, Human-Computer Interaction, Biomedical Engineering, and Artificial Intelligence.

Campos has contributed to topics including Advanced Image and Video Retrieval Techniques, Robotics and Sensor-Based Localization, Robotic Path Planning Algorithms, Video Analysis and Summarization, Advanced Vision and Imaging, Hand Gesture Recognition Systems, and Hearing Impairment and Communication.

They have published numerous research papers in several academic venues, notably:

  • Journal of Intelligent & Robotic Systems (2 papers)
  • Robotics and Autonomous Systems (1 paper)
  • Autonomous Robots (1 paper)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
  • Image and Vision Computing (1 paper)

Representative recent papers include:

  • "A Survey on the autonomous exploration of confined subterranean spaces: Perspectives from real-word and industrial robotic deployments" (2022, Robotics and Autonomous Systems)
  • "Extending Maps with Semantic and Contextual Object Information for Robot Navigation: a Learning-Based Framework Using Visual and Depth Cues" (2020, Journal of Intelligent & Robotic Systems)
  • "Three-Dimensional Mapping with Augmented Navigation Cost through Deep Learning" (2021, Journal of Intelligent & Robotic Systems)
  • "A Sparse Sampling-Based Framework for Semantic Fast-Forward of First-Person Videos" (2020, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "Estimating boundary dynamics using robotic sensor networks with pointwise measurements" (2021, Autonomous Robots)

Frequent collaborators in Campos's research include Erickson R. Nascimento, Douglas G. Macharet, Michel M. Silva, Milena Soriano Marcolino, and Elidéa Lúcia Almeida Bernardino.

Best Publications

  • Transmission Estimation in Underwater Single Images

    P. Drews;Erickson do Nascimento;F. Moraes;S. Botelho

  • Underwater Depth Estimation and Image Restoration Based on Single Images

    Paulo L.J. Drews;Erickson R. Nascimento;Silvia S.C. Botelho;Mario Fernando Montenegro Campos

  • STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences

    Antônio Wilson Vieira;Antônio Wilson Vieira;Erickson R. Nascimento;Gabriel L. Oliveira;Zicheng Liu

  • Decentralized Algorithms for Multi-Robot Manipulation via Caging:

    Guilherme A. S. Pereira;Mario Fernando Montenegro Campos;Vijay Kumar

  • Dynamic role assignment for cooperative robots

    L. Chaimowicz;M.F.M. Campos;V. Kumar

  • An architecture for tightly coupled multi-robot cooperation

    L. Chaimowicz;T. Sugar;V. Kumar;M.F.M. Campos

  • Hybrid Unmanned Aerial Underwater Vehicle: Modeling and simulation

    Paulo L. J. Drews;Armando Alves Neto;Mario F. M. Campos

  • Resilient consensus for time-varying networks of dynamic agents

    David Saldana;Amanda Prorok;Shreyas Sundaram;Mario F. M. Campos

  • Active and exploratory perception

    Ruzena Bajcsy;Mario Campos

  • Real-Time Gesture Recognition from Depth Data through Key Poses Learning and Decision Forests

    Leandro Miranda;Thales Vieira;Dimas Martinez;Thomas Lewiner

  • A Paradigm for Dynamic Coordination of Multiple Robots

    Luiz Chaimowicz;Vijay Kumar;Mario F. M. Campos

  • Decentralized motion planning for multiple robots subject to sensing and communication constraints

    Guilherme A. S. Pereira;Aveek K Das;R. Vijay Kumar;Mario F. M. Campos

  • On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles

    Armando Alves Neto;Douglas G. Macharet;Mario F. Campos

  • Particle Filter-Based Predictive Tracking for Robust Fish Counting

    E.F. Morais;M.F.M. Campos;F.L.C. Padua;R.L. Carceroni

  • Coordination of multiple mobile robots in an object carrying task using implicit communication

    G.A.S. Pereira;B.S. Pimentel;L. Chaimowicz;M.F.M. Campos

  • CoMutaR: A framework for multi-robot coordination and task allocation

    Pedro M. Shiroma;Mario F. M. Campos

  • On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns

    Antonio W. Vieira;Antonio W. Vieira;Erickson R. Nascimento;Gabriel L. Oliveira;Zicheng Liu

  • Underwater stereo

    J.P. Queiroz-Neto;R. Carceroni;W. Barros;M. Campos

  • A robotic haptic system architecture

    M. Campos;R. Bajcsy

  • Online gesture recognition from pose kernel learning and decision forests

    Leandro Miranda;Thales Vieira;Dimas Martínez;Thomas Lewiner

Frequent Co-Authors

Vijay Kumar
Vijay Kumar University of Pennsylvania
James C. Gee
James C. Gee University of Pennsylvania
Ruzena Bajcsy
Ruzena Bajcsy University of California, Berkeley
William Robson Schwartz
William Robson Schwartz Universidade Federal de Minas Gerais
Luiz F. M. Vieira
Luiz F. M. Vieira Universidade Federal de Minas Gerais
Luis A. Aguirre
Luis A. Aguirre Universidade Federal de Minas Gerais
Zicheng Liu
Zicheng Liu Microsoft (United States)
Mark Yim
Mark Yim University of Pennsylvania
Shreyas Sundaram
Shreyas Sundaram Purdue University West Lafayette

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 a degree in Computer Science opens many educational and career options online. For those concerned about their academic records, several online schools that accept low gpa make it possible to start a tech career without a perfect transcript.

If you want to move fast, consider an accelerated computer science degree. These programs are designed to help students finish their studies quickly and enter the workforce sooner.

Interested in combining technology with environmental impact? Unique pathways exist for those who want to blend their tech skills with environmental science. There are strong opportunities in jobs with elementary education and environmental science degree, as well as in science and engineering roles.

For those leaning toward technical sustainability careers, earning an online environmental engineering degree science and engineering can be a smart step, combining core computer science skills with pressing global challenges.

Best Scientists Citing Mario F. M. Campos

Trending Scientists

Recently Published Articles