World's Best Scientists 2026 revealed!
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Computer Science
Czechia
2026

D-Index & Metrics

Computer Science

D-Index
88
Citations
49712
World Ranking
663
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Czechia Leader Award
  • 2025 - Research.com Computer Science in Czechia Leader Award
  • 2023 - Research.com Computer Science in Czechia Leader Award
  • 2022 - Research.com Computer Science in Czechia Leader Award

Overview

Josef Sivic is affiliated with the Czech Technical University in Prague in Czech Republic. Their research spans multiple domains, primarily focusing on computer science and engineering, with notable contributions to subfields such as computer vision and pattern recognition, artificial intelligence, control and systems engineering, molecular biology, and aerospace engineering.

The scientist's recent publications illustrate a breadth of topics and ongoing contributions across various venues. Some of these works include:

  • Long-Term Visual Localization Revisited (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Machine Learning-Guided Protein Engineering (2023), ACS Catalysis
  • Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers (2021), arXiv (Cornell University)
  • NCNet: Neighbourhood Consensus Networks for Estimating Image Correspondences (2020), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TubeDETR: Spatio-Temporal Video Grounding with Transformers (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent coauthors include Ivan Laptev, Jiří Sedlář, Vladimír Petrík, Bryan Russell, and Antoine Miech, reflecting collaborations that have resulted in multiple joint publications.

Josef Sivic's primary publication venues signal an active engagement with leading conferences and journals, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their research covers a range of main topics and advanced techniques in multimodal machine learning applications, human pose and action recognition, domain adaptation and few-shot learning, robot manipulation and learning, advanced vision and imaging, advanced image and video retrieval techniques, and robotics and sensor-based localization.

In summary, the scientist's work reflects interdisciplinary expertise with an emphasis on computer vision systems and artificial intelligence, combined with practical applications in robotics and molecular biology. The combination of frequent collaborations and publication venues demonstrates a consistent engagement with prominent platforms and researchers within these fields.

Best Publications

  • Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

    Maxime Oquab;Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • Object retrieval with large vocabularies and fast spatial matching

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Lost in quantization: Improving particular object retrieval in large scale image databases

    J. Philbin;O. Chum;M. Isard;J. Sivic

  • Discovering objects and their location in images

    J. Sivic;B.C. Russell;A.A. Efros;A. Zisserman

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval

    O. Chum;J. Philbin;J. Sivic;M. Isard

  • Is object localization for free? - Weakly-supervised learning with convolutional neural networks

    Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

    Mihai Dusmanu;Ignacio Rocco;Tomas Pajdla;Marc Pollefeys

  • NetVLAD: CNN Architecture for Weakly Supervised Place Recognition

    Relja Arandjelovic;Petr Gronat;Akihiko Torii;Tomas Pajdla

  • What makes Paris look like Paris

    Carl Doersch;Saurabh Singh;Abhinav Gupta;Josef Sivic

  • Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

    B.C. Russell;W.T. Freeman;A.A. Efros;J. Sivic

  • HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

    Antoine Miech;Dimitri Zhukov;Jean-Baptiste Alayrac;Makarand Tapaswi

  • "Hello! My name is... Buffy" - Automatic Naming of Characters in TV Video

    Mark Everingham;Josef Sivic;Andrew Zisserman

  • Non-uniform Deblurring for Shaken Images

    Oliver Whyte;Josef Sivic;Andrew Zisserman;Jean Ponce

  • Localizing Moments in Video with Natural Language

    Lisa Anne Hendricks;Lisa Anne Hendricks;Oliver Wang;Eli Shechtman;Josef Sivic

  • SIFT Flow: Dense Correspondence across Different Scenes

    Ce Liu;Jenny Yuen;Antonio Torralba;Josef Sivic

  • Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

    Torsten Sattler;Will Maddern;Carl Toft;Akihiko Torii

  • Efficient Visual Search of Videos Cast as Text Retrieval

    J. Sivic;A. Zisserman

  • Discovering object categories in image collections

    Josef Sivic;Bryan C. Russell;Alexei A. Efros;Andrew Zisserman

  • End-to-End Learning of Visual Representations From Uncurated Instructional Videos

    Antoine Miech;Jean-Baptiste Alayrac;Lucas Smaira;Ivan Laptev

  • What makes Paris look like Paris

    Carl Doersch;Saurabh Singh;Abhinav Gupta;Josef Sivic

Frequent Co-Authors

Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Andrew Zisserman
Andrew Zisserman University of Oxford
Tomas Pajdla
Tomas Pajdla Czech Technical University in Prague
Bryan C. Russell
Bryan C. Russell Adobe Systems (United States)
Masatoshi Okutomi
Masatoshi Okutomi Tokyo Institute of Technology
Simon Lacoste-Julien
Simon Lacoste-Julien University of Montreal
Torsten Sattler
Torsten Sattler Czech Technical University in Prague
Jean Ponce
Jean Ponce École Normale Supérieure
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Marc Pollefeys
Marc Pollefeys ETH Zurich

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