Francisco M. Castro

According to our database1, Francisco M. Castro authored at least 30 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions to distance learning in electrical and computer engineering education".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AttenGait: Gait recognition with attention and rich modalities.
Pattern Recognit., April, 2024

2023
Real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Multimodal Human Pose Feature Fusion for Gait Recognition.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022
FlexSched: Efficient scheduling techniques for concurrent kernel execution on GPUs.
J. Supercomput., 2022

High performance inference of gait recognition models on embedded systems.
Sustain. Comput. Informatics Syst., 2022

Lightweight Structure-Aware Attention for Visual Understanding.
CoRR, 2022

A Hybrid Piece-Wise Slowdown Model for Concurrent Kernel Execution on GPU.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022

2021
UGaitNet: Multimodal Gait Recognition With Missing Input Modalities.
IEEE Trans. Inf. Forensics Secur., 2021

Anomalous object detection by active search with PTZ cameras.
Expert Syst. Appl., 2021

GaitCopy: Disentangling Appearance for Gait Recognition by Signature Copy.
IEEE Access, 2021

Evaluation of end-to-end CNN models for palm vein recognition.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

Large-scale palm vein recognition on synthetic datasets.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

Multimodal Gait Recognition Under Missing Modalities.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

ReSGait: The Real-Scene Gait Dataset.
Proceedings of the International IEEE Joint Conference on Biometrics, 2021

2020
MuPeG - The Multiple Person Gait Framework.
Sensors, 2020

Multimodal feature fusion for CNN-based gait recognition: an empirical comparison.
Neural Comput. Appl., 2020

A cross-dataset deep learning-based classifier for people fall detection and identification.
Comput. Methods Programs Biomed., 2020

iLGaCo: Incremental Learning of Gait Covariate Factors.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019
Energy-based tuning of convolutional neural networks on multi-GPUs.
Concurr. Comput. Pract. Exp., 2019

An End-to-End Multi-Task and Fusion CNN for Inertial-Based Gait Recognition.
IEEE Access, 2019

A Weakly-Supervised Approach for Discovering Common Objects in Airport Video Surveillance Footage.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

2018
End-to-End Incremental Learning.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Fisher Motion Descriptor for Multiview Gait Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2017

Automatic Learning of Gait Signatures for People Identification.
Proceedings of the Advances in Computational Intelligence, 2017

Deep multi-task learning for gait-based biometrics.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Evaluation of Cnn Architectures for Gait Recognition Based on Optical Flow Maps.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017

2016
Multimodal features fusion for gait, gender and shoes recognition.
Mach. Vis. Appl., 2016

2015
On how to improve tracklet-based gait recognition systems.
Pattern Recognit. Lett., 2015

Empirical Study of Audio-Visual Features Fusion for Gait Recognition.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Pyramidal Fisher Motion for Multiview Gait Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014


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