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Computer Science

D-Index
44
Citations
28040
World Ranking
7346
National Ranking
2

Overview

Pablo Arbeláez is a researcher affiliated with Universidad de Los Andes in Colombia. Their work spans multiple disciplines with a primary focus on computer science and medicine. Within these fields, their contributions cover subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Biomedical Engineering, and Radiology, Nuclear Medicine and Imaging.

Their research topics include:

  • Surgical Simulation and Training
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Artificial Intelligence in Healthcare and Education
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning

Among their frequent co-authors are Laura Daza, Paola Ruiz Puentes, Cristina González, Bernard Ghanem, and María Escobar. These collaborations suggest interdisciplinary and sustained partnerships within their research environment.

They have published extensively in venues such as arXiv (Cornell University), Medical Image Analysis, Lecture Notes in Computer Science, bioRxiv (Cold Spring Harbor Laboratory), and Scientific Reports. The number of publications in these venues highlight consistent contributions particularly in preprint servers and peer-reviewed journals across computer science and medical disciplines.

Recent papers include:

  • "The Medical Segmentation Decathlon" (2022), Nature Communications
  • "An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays" (2020), PLoS ONE
  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays" (2020), bioRxiv (Cold Spring Harbor Laboratory)
  • "Automatic seizure detection based on imaged-EEG signals through fully convolutional networks" (2020), Scientific Reports

Best Publications

  • Contour Detection and Hierarchical Image Segmentation

    P Arbeláez;M Maire;C Fowlkes;J Malik

  • Hypercolumns for object segmentation and fine-grained localization

    Bharath Hariharan;Pablo Arbelaez;Ross Girshick;Jitendra Malik

  • Learning Rich Features from RGB-D Images for Object Detection and Segmentation

    Saurabh Gupta;Ross B. Girshick;Pablo Andrés Arbeláez;Pablo Andrés Arbeláez;Jitendra Malik

  • Semantic contours from inverse detectors

    Bharath Hariharan;Pablo Arbelaez;Lubomir Bourdev;Subhransu Maji

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • Simultaneous Detection and Segmentation

    Bharath Hariharan;Pablo Andrés Arbeláez;Pablo Andrés Arbeláez;Ross B. Girshick;Jitendra Malik

  • Multiscale Combinatorial Grouping

    Pablo Arbeláez;Jordi Pont-Tuset;Jon Barron;Ferran Marques

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • The 2017 DAVIS Challenge on Video Object Segmentation

    Jordi Pont-Tuset;Federico Perazzi;Sergi Caelles;Pablo Arbelaez

  • Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images

    Saurabh Gupta;Pablo Arbelaez;Jitendra Malik

  • An image J plugin for the high throughput image analysis of in vitro scratch wound healing assays.

    Alejandra Suarez-Arnedo;Felipe Torres Figueroa;Camila Clavijo;Pablo Arbeláez

  • Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

    Jordi Pont-Tuset;Pablo Arbelaez;Jonathan T.Barron;Ferran Marques

  • From contours to regions: An empirical evaluation

    Pablo Arbelaez;Michael Maire;Charless Fowlkes;Jitendra Malik

  • Using contours to detect and localize junctions in natural images

    M. Maire;P. Arbelaez;C. Fowlkes;J. Malik

  • Deep Retinal Image Understanding

    Kevis-Kokitsi Maninis;Jordi Pont-Tuset;Pablo Andrés Arbeláez;Luc J. Van Gool;Luc J. Van Gool

  • Recognition using regions

    Chunhui Gu;Joseph J Lim;Pablo Arbelaez;Jitendra Malik

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

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • Semantic segmentation using regions and parts

    Pablo Arbelaez;Bharath Hariharan;Chunhui Gu;Saurabh Gupta

  • Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation

    Saurabh Gupta;Pablo Arbeláez;Ross Girshick;Jitendra Malik

  • Boundary Extraction in Natural Images Using Ultrametric Contour Maps

    P. Arbelaez

  • Aligning 3D models to RGB-D images of cluttered scenes

    Saurabh Gupta;Pablo Arbelaez;Ross Girshick;Jitendra Malik

Frequent Co-Authors

Jitendra Malik
Jitendra Malik University of California, Berkeley
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Ross Girshick
Ross Girshick Facebook (United States)
Saurabh Gupta
Saurabh Gupta University of Illinois at Urbana-Champaign
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Laurent D. Cohen
Laurent D. Cohen Paris Dauphine University
Tom Vercauteren
Tom Vercauteren King's College London
Klaus H. Maier-Hein
Klaus H. Maier-Hein German Cancer Research Center
Arlindo L. Oliveira
Arlindo L. Oliveira University of Lisbon
Steven E. Brenner
Steven E. Brenner University of California, Berkeley

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