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D-Index & Metrics

Computer Science

D-Index
40
Citations
10546
World Ranking
9099
National Ranking
159

Overview

Efstratios Gavves is affiliated with the University of Amsterdam in the Netherlands. Their research contributions primarily lie within the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Radiology, Nuclear Medicine and Imaging.

Their work spans several subfields, including Biomedical Engineering and Computational Mechanics. The main topics of Efstratios Gavves' research cover:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Anomaly Detection Techniques and Applications
  • Human Pose and Action Recognition
  • Radiomics and Machine Learning in Medical Imaging

Efstratios Gavves has published extensively, with some of the frequent publication venues including:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • Diagnostics
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent notable papers are:

  • NFormer: Robust Person Re-identification with Neighbor Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer, 2022, Medical Image Analysis
  • Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks, 2020, Journal of the American Heart Association
  • Domain- and task-specific transfer learning for medical segmentation tasks, 2021, Computer Methods and Programs in Biomedicine

Efstratios Gavves frequently collaborates with a number of co-authors, including:

  • Jan-Jakob Sonke
  • Cees G. M. Snoek
  • Miltiadis Kofinas
  • Phillip Lippe
  • Henk A. Marquering

Their scholarly output includes a significant volume of work focusing on advanced machine learning methods and applications within image analysis, particularly medical imaging. The research incorporates both methodological advancements and applied studies in related biomedical fields.

Best Publications

  • Siamese Instance Search for Tracking

    Ran Tao;Efstratios Gavves;Arnold W. M. Smeulders

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Dynamic Image Networks for Action Recognition

    Hakan Bilen;Basura Fernando;Efstratios Gavves;Andrea Vedaldi

  • Modeling video evolution for action recognition

    Basura Fernando;Efstratios Gavves;M. Jose Oramas;Amir Ghodrati

  • VideoLSTM convolves, attends and flows for action recognition

    Zhenyang Li;Kirill Gavrilyuk;Efstratios Gavves;Mihir Jain;Mihir Jain

  • Guiding the Long-Short Term Memory Model for Image Caption Generation

    Xu Jia;Efstratios Gavves;Basura Fernando;Tinne Tuytelaars

  • Self-Supervised Video Representation Learning with Odd-One-Out Networks

    Basura Fernando;Hakan Bilen;Efstratios Gavves;Stephen Gould

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • The MediaMill TRECVID 2010 semantic video search engine

    C.G.M. Snoek;K.E.A. van de Sande;O. de Rooij;B. Huurnink

  • Rank Pooling for Action Recognition

    Basura Fernando;Efstratios Gavves;M Jose Oramas Oramas;Amir Ghodrati

  • COSTA: Co-Occurrence Statistics for Zero-Shot Classification

    Thomas Mensink;Efstratios Gavves;Cees G. M. Snoek

  • Action Recognition with Dynamic Image Networks

    Hakan Bilen;Basura Fernando;Efstratios Gavves;Andrea Vedaldi

  • Fine-Grained Categorization by Alignments

    E. Gavves;B. Fernando;C. G. M. Snoek;A. W. M. Smeulders

  • Online Action Detection

    Roeland De Geest;Efstratios Gavves;Amir Ghodrati;Zhenyang Li

  • Timeception for Complex Action Recognition

    Noureldien Hussein;Efstratios Gavves;Arnold W.M. Smeulders

  • NFormer: Robust Person Re-identification with Neighbor Transformer

    Unknown

  • Tracking by Natural Language Specification

    Zhenyang Li;Ran Tao;Efstratios Gavves;Cees G. M. Snoek

  • Long-term Tracking in the Wild: a Benchmark

    Jack Valmadre;Luca Bertinetto;João F. Henriques;Ran Tao

  • PointMixup: Augmentation for Point Clouds

    Yunlu Chen;Vincent Tao Hu;Efstratios Gavves;Thomas Mensink

  • Deep Reflectance Maps

    Konstantinos Rematas;Tobias Ritschel;Mario Fritz;Efstratios Gavves

  • Relaxed Quantization for Discretized Neural Networks

    Christos Louizos;Matthias Reisser;Tijmen Blankevoort;Efstratios Gavves

  • VideoLSTM Convolves, Attends and Flows for Action Recognition

    Zhenyang Li;Efstratios Gavves;Mihir Jain;Cees G. M. Snoek

Frequent Co-Authors

Arnold W. M. Smeulders
Arnold W. M. Smeulders University of Amsterdam
Cees G. M. Snoek
Cees G. M. Snoek University of Amsterdam
Max Welling
Max Welling University of Amsterdam
Basura Fernando
Basura Fernando Agency for Science, Technology and Research
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Marcel Worring
Marcel Worring University of Amsterdam
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Tobias Ritschel
Tobias Ritschel University College London
Mario Fritz
Mario Fritz Helmholtz Center for Information Security

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