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Computer Science

D-Index
35
Citations
23441
World Ranking
11414
National Ranking
4689

Overview

Rodrigo Benenson is a researcher affiliated with Google in the United States. Their work primarily falls within the field of Computer Science, with particular emphasis on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

The scientist has contributed to research in a range of topics, including:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • COVID-19 diagnosis using AI
  • Multimodal Machine Learning Applications
  • Machine Learning and Algorithms

Rodrigo Benenson's publication record includes articles primarily published in arXiv (Cornell University). Notable recent works are:

  • "The Cityscapes Dataset for Semantic Urban Scene Understanding," 2024, arXiv (Cornell University)
  • "From colouring-in to pointillism: revisiting semantic segmentation supervision," 2022, arXiv (Cornell University)

The first paper mentioned, authored by Marius Cordts, has accumulated more than a thousand citations, reflecting a significant presence in the research community. The second paper, authored by Rodrigo Benenson, addresses semantic segmentation supervision methods.

Collaborations have involved several frequent co-authors, including:

  • Marius Cordts
  • Mohamed Omran
  • Sebastian Ramos
  • Timo Rehfeld
  • Markus Enzweiler

Rodrigo Benenson's research integrates advanced neural network techniques and methodology applied in various domains such as semantic urban scene understanding and AI for medical diagnosis. Their work contributes to ongoing developments in machine learning algorithms and multimodal learning systems.

Best Publications

  • The Cityscapes Dataset for Semantic Urban Scene Understanding

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Rehfeld

  • What Makes for Effective Detection Proposals

    Jan Hosang;Rodrigo Benenson;Piotr Dollar;Bernt Schiele

  • CityPersons: A Diverse Dataset for Pedestrian Detection

    Shanshan Zhang;Rodrigo Benenson;Bernt Schiele

  • Simple Does It: Weakly Supervised Instance and Semantic Segmentation

    Anna Khoreva;Rodrigo Benenson;Jan Hosang;Matthias Hein

  • Ten Years of Pedestrian Detection, What Have We Learned?

    Rodrigo Benenson;Mohamed Omran;Jan Hendrik Hosang;Bernt Schiele

  • Pedestrian detection at 100 frames per second

    Rodrigo Benenson;Markus Mathias;Radu Timofte;Luc Van Gool

  • Face Detection without Bells and Whistles

    Markus Mathias;Rodrigo Benenson;Marco Pedersoli;Luc J. Van Gool;Luc J. Van Gool

  • Learning Non-maximum Suppression

    Jan Hosang;Rodrigo Benenson;Bernt Schiele

  • Learning Video Object Segmentation from Static Images

    Federico Perazzi;Anna Khoreva;Rodrigo Benenson;Bernt Schiele

  • How Far are We from Solving Pedestrian Detection

    Shanshan Zhang;Rodrigo Benenson;Mohamed Omran;Jan Hosang

  • Filtered channel features for pedestrian detection

    Shanshan Zhang;Rodrigo Benenson;Bernt Schiele

  • Traffic sign recognition — How far are we from the solution?

    Markus Mathias;Radu Timofte;Rodrigo Benenson;Luc Van Gool

  • Taking a deeper look at pedestrians

    Jan Hosang;Mohamed Omran;Rodrigo Benenson;Bernt Schiele

  • Seeking the Strongest Rigid Detector

    Rodrigo Benenson;Markus Mathias;Tinne Tuytelaars;Luc Van Gool

  • How Good are Detection Proposals, really?

    Jan Hendrik Hosang;Rodrigo Benenson;Bernt Schiele

  • Exploiting Saliency for Object Segmentation from Image Level Labels

    Seong Joon Oh;Rodrigo Benenson;Anna Khoreva;Zeynep Akata

  • Large-Scale Interactive Object Segmentation With Human Annotators

    Rodrigo Benenson;Stefan Popov;Vittorio Ferrari

  • Towards Reaching Human Performance in Pedestrian Detection

    Shanshan Zhang;Rodrigo Benenson;Mohamed Omran;Jan Hosang

  • The Cityscapes Dataset

    Marius Cordts;Mohamed Omran;Sebastian Ramos;Timo Scharwächter

  • Handling Occlusions with Franken-Classifiers

    Markus Mathias;Rodrigo Benenson;Radu Timofte;Luc Van Gool

Frequent Co-Authors

Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Mario Fritz
Mario Fritz Helmholtz Center for Information Security
Matthias Hein
Matthias Hein University of Tübingen
Radu Timofte
Radu Timofte University of Wurzburg
Thomas Brox
Thomas Brox University of Freiburg
Uwe Franke
Uwe Franke Daimler (Germany)
Stefan Roth
Stefan Roth Technical University of Darmstadt
Thierry Fraichard
Thierry Fraichard French Institute for Research in Computer Science and Automation - INRIA
Zeynep Akata
Zeynep Akata University of Tübingen

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