Paul Gay

Orcid: 0009-0002-2516-934X

According to our database1, Paul Gay authored at least 13 papers between 2000 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
EERO: Early Exit with Reject Option for Efficient Classification with limited budget.
CoRR, 2024

2023
Active Learning with few shot learning for crisis management.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2018
Factorization based structure from motion with object priors.
Comput. Vis. Image Underst., 2018

Visual Graphs from Motion (VGfM): Scene Understanding with Object Geometry Reasoning.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Probabilistic Structure from Motion with Objects (PSfMO).
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
CRF-Based Context Modeling for Person Identification in Broadcast Videos.
Frontiers ICT, 2016

2015
Segmentation et identification audiovisuelle de personnes dans des journaux télévisés. (Audiovisual segmentation and identification of persons in broadcast news).
PhD thesis, 2015

2014
A conditional random field approach for face identification in broadcast news using overlaid text.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A conditional random field approach for audio-visual people diarization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Comparison of two methods for unsupervised person identification in TV shows.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

2013
Fusing matching and biometric similarity measures for face diarization in video.
Proceedings of the International Conference on Multimedia Retrieval, 2013

An open-source state-of-the-art toolbox for broadcast news diarization.
Proceedings of the INTERSPEECH 2013, 2013

2000
Modeling and analysis of a dynamic judgment task using a lens model approach.
IEEE Trans. Syst. Man Cybern. Part A, 2000


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