World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
21284
World Ranking
6980
National Ranking
221

Electronics and Electrical Engineering

D-Index
40
Citations
20360
World Ranking
4373
National Ranking
136

Overview

Tom Drummond is affiliated with Monash University in Australia and specializes primarily in computer science, with a significant focus on computer vision and pattern recognition.

Their research encompasses various subfields including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Control and Systems Engineering
  • Signal Processing

The main research topics explored comprise:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Medical Image Segmentation Techniques
  • COVID-19 diagnosis using AI
  • Social Robot Interaction and Human-Robot Interaction (HRI)

Drummond has co-authored multiple papers with several frequent collaborators, including:

  • Mehrtash Harandi
  • Zongyuan Ge
  • Rongkai Ma
  • M. Hiller
  • Bryce Ferenczi

Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Topics in Cognitive Science
  • Lecture Notes in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent papers published by Drummond feature a range of topics and venues:

  • Hierarchical Neural Architecture Search for Deep Stereo Matching (2020, arXiv (Cornell University))
  • Looking Beyond Two Frames: End-to-End Multi-Object Tracking Using Spatial and Temporal Transformers (2022, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • Progressive Video Summarization via Multimodal Self-supervised Learning (2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV))
  • Visualizing Robot Intent for Object Handovers with Augmented Reality (2022, 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN))
  • Rethinking Generalization in Few-Shot Classification (2022, arXiv (Cornell University))

Best Publications

  • Machine Learning for High-Speed Corner Detection

    Edward Rosten;Tom Drummond

  • Faster and Better: A Machine Learning Approach to Corner Detection

    E. Rosten;R. Porter;T. Drummond

  • Fusing points and lines for high performance tracking

    E. Rosten;T. Drummond

  • Real-time visual tracking of complex structures

    T. Drummond;R. Cipolla

  • Pose tracking from natural features on mobile phones

    Daniel Wagner;Gerhard Reitmayr;Alessandro Mulloni;Tom Drummond

  • Going out: robust model-based tracking for outdoor augmented reality

    Gerhard Reitmayr;Tom Drummond

  • Scalable Monocular SLAM

    E. Eade;T. Drummond

  • Real-Time Detection and Tracking for Augmented Reality on Mobile Phones

    D. Wagner;G. Reitmayr;A. Mulloni;T. Drummond

  • Smart Mining for Deep Metric Learning

    Ben Harwood;Vijay Kumar B. G;Gustavo Carneiro;Ian Reid

  • Camera Calibration from Vanishing Points in Image of Architectural Scenes.

    Roberto Cipolla;Tom Drummond;Duncan P. Robertson

  • A probabilistic framework for space carving

    A. Broadhurst;T.W. Drummond;R. Cipolla

  • Edge landmarks in monocular SLAM

    Ethan Eade;Tom Drummond

  • Unified loop closing and recovery for real time monocular SLAM

    Ethan Eade;Thomas Drummond

  • Hierarchical Neural Architecture Search for Deep Stereo Matching

    Xuelian Cheng;Yiran Zhong;Mehrtash Harandi;Yuchao Dai

  • Monocular SLAM as a Graph of Coalesced Observations

    E. Eade;T. Drummond

  • A review of deep learning in the study of materials degradation

    Will Nash;Tom Drummond;Nick Birbilis

  • ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition

    Qi Pan;Gerhard Reitmayr;Thomas Drummond

  • Real-Time Tracking of Multiple Articulated Structures in Multiple Views

    Tom Drummond;Roberto Cipolla

  • Layered motion segmentation and depth ordering by tracking edges

    P. Smith;T. Drummond;R. Cipolla

  • Event-Based Motion Segmentation by Motion Compensation

    Timo Stoffregen;Guillermo Gallego;Tom Drummond;Lindsay Kleeman

  • Reducing the Sim-to-Real Gap for Event Cameras

    Timo Stoffregen;Cedric Scheerlinck;Davide Scaramuzza;Tom Drummond

Frequent Co-Authors

Roberto Cipolla
Roberto Cipolla University of Cambridge
Gerhard Reitmayr
Gerhard Reitmayr Qualcomm (Austria)
Ian Reid
Ian Reid University of Adelaide
Nick Birbilis
Nick Birbilis Deakin University
Isabelle Fantoni
Isabelle Fantoni Centre national de la recherche scientifique, CNRS
Peter Corke
Peter Corke Queensland University of Technology
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Pascal Fua
Pascal Fua École Polytechnique Fédérale de Lausanne
Dieter Schmalstieg
Dieter Schmalstieg University of Stuttgart

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