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Computer Science

D-Index
36
Citations
7484
World Ranking
11066
National Ranking
701

Overview

Dima Damen is affiliated with the University of Bristol in the United Kingdom. Their research primarily focuses on computer science, with a strong concentration in computer vision and pattern recognition. Their work extends into related subfields including artificial intelligence, signal processing, sociology and political science, and control and systems engineering.

The scientist has made notable contributions in several research topics including:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Video Analysis and Summarization
  • Anomaly Detection Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Damen has a substantial publication record, with 160 works in computer science. Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • Bristol Research (University of Bristol)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Among their recent papers are:

  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100" (2021), published in International Journal of Computer Vision
  • "The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines" (2020), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Rescaling Egocentric Vision" (2020), published on arXiv (Cornell University)

Frequent co-authors collaborating with Damen include:

  • Michael Wray
  • Toby Perrett
  • Antonino Furnari
  • Giovanni Maria Farinella
  • Andrew Zisserman

Best Publications

  • Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • British Machine Vision Conference (BMVC)

    Dima Damen;David Hogg

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Proceedings of the British Machine Vision Conference

    Dima Damen;Teesid Leelasawassuk;Osian Haines;Andrew D Calway

  • Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

    Dima Damen;Hazel Doughty;Hazel Doughty;Giovanni Maria Farinella;Antonino Furnari

  • EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition

    Evangelos Kazakos;Arsha Nagrani;Andrew Zisserman;Dima Damen

  • Computer Vision and Pattern Recognition (CVPR)

    Dima Damen;David Hogg

  • Detecting Carried Objects in Short Video Sequences

    Dima Damen;David Hogg

  • IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

    Dima Damen;Andrew Gee;Walterio W Mayol-Cuevas;Andrew D Calway

  • Temporal-Relational CrossTransformers for Few-Shot Action Recognition

    Toby Perrett;Alessandro Masullo;Tilo Burghardt;Majid Mirmehdi

  • The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

    Jonathan Munro;Dima Damen

  • Who's Better? Who's Best? Pairwise Deep Ranking for Skill Determination

    Hazel Doughty;Dima Damen;Walterio Mayol-Cuevas

  • Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Sanja Fidler

  • Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

    Unknown

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Gabriela Csurka;Diane Larlus;Dima Damen

  • Rescaling Egocentric Vision.

    Dima Damen;Hazel Doughty;Giovanni Maria Farinella;Antonino Furnari

  • The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos

    Hazel Doughty;Walterio Mayol-Cuevas;Dima Damen

  • Egocentric Video-Language Pretraining

    Unknown

  • You-Do, I-Learn: Discovering Task Relevant Objects and their Modes of Interaction from Multi-User Egocentric Video

    Dima Damen;Teesid Leelasawassuk;Osian Haines;Andrew Calway

  • Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling

    Massimo Camplani;Sion L. Hannuna;Majid Mirmehdi;Dima Damen

  • Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach

    Dima Damen;Pished Bunnun;Andrew D Calway;Walterio W Mayol-Cuevas

  • A multi-modal sensor infrastructure for healthcare in a residential environment

    Przemyslaw Woznowski;Xenofon Fafoutis;Terence Song;Sion Hannuna

  • Recognizing linked events: Searching the space of feasible explanations

    Dima Damen;David Hogg

  • Egocentric Real-time Workspace Monitoring using an RGB-D camera

    Dima Damen;Andrew Gee;Walterio Mayol-Cuevas;Andrew Calway

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Diane Larlus;Gabriela Csurka;Dima Damen

Frequent Co-Authors

Majid Mirmehdi
Majid Mirmehdi University of Bristol
Ian J Craddock
Ian J Craddock University of Bristol
David C. Hogg
David C. Hogg University of Leeds
Giovanni Maria Farinella
Giovanni Maria Farinella University of Catania
Sanja Fidler
Sanja Fidler University of Toronto
Andrew Zisserman
Andrew Zisserman University of Oxford
Robert J. Piechocki
Robert J. Piechocki University of Bristol
David Bull
David Bull University of Bristol
Iain D. Gilchrist
Iain D. Gilchrist University of Bristol

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