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Computer Science
Mexico
2026

D-Index & Metrics

Computer Science

D-Index
48
Citations
7141
World Ranking
6259
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Mexico Leader Award

Overview

Hugo Jair Escalante is affiliated with the National Institute of Astrophysics, Optics and Electronics in Mexico. Their research contributions lie primarily within the field of Computer Science, with significant focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems, and Social Psychology.

The main topics of their work include:

  • Biometric Identification and Security
  • Face recognition and analysis
  • Machine Learning and Data Classification
  • Face and Expression Recognition
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications

Escalante's frequent coauthors are:

  • Sérgio Escalera
  • Guodong Guo
  • Stan Z. Li
  • Jun Wan
  • Eduardo F. Morales

They have published extensively in venues such as arXiv (Cornell University), Neural Computing and Applications, Pattern Recognition Letters, Computación y Sistemas, and IEEE Transactions on Biometrics Behavior and Identity Science.

Some recent significant papers include:

  • "CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing," 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • "Modeling, Recognizing, and Explaining Apparent Personality From Videos," 2020, IEEE Transactions on Affective Computing
  • "Cross-ethnicity face anti-spoofing recognition challenge: A review," 2020, IET Biometrics
  • "Recognition of facial expressions based on CNN features," 2020, Multimedia Tools and Applications
  • "Multi-branch deep radial basis function networks for facial emotion recognition," 2021, Neural Computing and Applications

In addition to articles, Escalante has contributed to book publications mainly with Springer Science+Business Media and Morgan & Claypool Publishers. Their Springer publications primarily relate to the "Pattern Recognition. ICPR International Workshops and Challenges" series, published in 2021. They have also authored works such as "Multi-Modal Face Presentation Attack Detection" (2020) and "Advances in Face Presentation Attack Detection" (2023) with Morgan & Claypool Publishers.

Best Publications

  • The segmented and annotated IAPR TC-12 benchmark

    Hugo Jair Escalante;Carlos A. Hernández;Jesus A. Gonzalez;A. López-López

  • Chalearn looking at people challenge 2014: Dataset and results

    Sergio Escalera;Xavier Baró;Jordi Gonzàlez;Miguel Ángel Bautista

  • ChaLearn LAP 2016: First Round Challenge on First Impressions - Dataset and Results

    Víctor Ponce-López;Víctor Ponce-López;Baiyu Chen;Marc Oliu;Ciprian A. Corneanu

  • Multi-modal gesture recognition challenge 2013: dataset and results

    Sergio Escalera;Jordi Gonzàlez;Xavier Baró;Miguel Reyes

  • Particle Swarm Model Selection

    Hugo Jair Escalante;Manuel Montes;Luis Enrique Sucar

  • Taking Human out of Learning Applications: A Survey on Automated Machine Learning

    Quanming Yao;Mengshuo Wang;Hugo Jair Escalante;Isabelle Guyon

  • A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences

    Maryam Asadi-Aghbolaghi;Albert Clapes;Marco Bellantonio;Hugo Jair Escalante

  • ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results

    Sergio Escalera;Junior Fabian;Pablo Pardo;Xavier Baro

  • CASIA-SURF: A Large-Scale Multi-Modal Benchmark for Face Anti-Spoofing

    Shifeng Zhang;Ajian Liu;Jun Wan;Yanyan Liang

  • Local Histograms of Character N-grams for Authorship Attribution

    Hugo Jair Escalante;Thamar Solorio;Manuel Montes-y-Gomez

  • Analysis of facial expressions in parkinson's disease through video-based automatic methods

    Andrea Bandini;Andrea Bandini;Silvia Orlandi;Hugo Jair Escalante;Fabio Giovannelli

  • Design of the 2015 ChaLearn AutoML challenge

    Isabelle Guyon;Kristin Bennett;Gavin Cawley;Hugo Jair Escalante

  • ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016

    Sergio Escalera;Sergio Escalera;Mercedes Torres Torres;Brais Martinez;Xavier Baro

  • Analysis of the AutoML Challenge Series 2015–2018

    Isabelle Guyon;Isabelle Guyon;Lisheng Sun-Hosoya;Lisheng Sun-Hosoya;Marc Boullé;Hugo Jair Escalante

  • The ChaLearn gesture dataset (CGD 2011)

    Isabelle Guyon;Vassilis Athitsos;Pat Jangyodsuk;Hugo Jair Escalante

  • ChaLearn gesture challenge: Design and first results

    Isabelle Guyon;Vassilis Athitsos;Pat Jangyodsuk;Ben Hamner

  • ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview

    Hugo Jair Escalante;Victor Ponce-Lopez;Jun Wan;Michael A. Riegler

  • Late fusion of heterogeneous methods for multimedia image retrieval

    Hugo Jair Escalante;Carlos A. Hérnadez;Luis Enrique Sucar;Manuel Montes

  • Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges

    Jun Wan;Sergio Escalera;Gholamreza Anbarjafari;Hugo Jair Escalante

  • Split and Merge Watershed: a two-step method for cell segmentation in fluorescence microscopy images.

    Margarita Gamarra;Eduardo E. Zurek;Hugo Jair Escalante;Leidy Hurtado

  • Explainable and interpretable models in computer vision and machine learning

    H.J. Escalante;S. Escalera;I. Guyon;X. Baró

Frequent Co-Authors

Sergio Escalera
Sergio Escalera University of Barcelona
Isabelle Guyon
Isabelle Guyon University of Paris-Saclay
Fabio A. González
Fabio A. González National University of Colombia
Vassilis Athitsos
Vassilis Athitsos The University of Texas at Arlington
Marcel A. J. van Gerven
Marcel A. J. van Gerven Radboud University
Guodong Guo
Guodong Guo West Virginia University
Stan Z. Li
Stan Z. Li Westlake University
Thamar Solorio
Thamar Solorio Mohamed bin Zayed University of Artificial Intelligence
Yang Yu
Yang Yu Nanjing University

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