Thierry Bouwmans
researcher
Facts
9 properties- Instance of
- human
- Occupation
- university teacher, scientist
- Employer
- University of La Rochelle[10]
- Field of work
- image processing, digital image processing, video processing, signal processing, computer vision, pattern recognition, machine learning[3][4][5][6][7][8][9]
- Doctoral student
- Nemesio Rodriguez-Fernandez, Andrews Sobral[12][13]
🏷️ Also known as
en Thierry Bouwmans
🔖 Identifiers · 17
- ORCID iD
- 0000-0003-4018-8856
- VIAF cluster ID
- 310718277
- ACM Digital Library author ID
- 81100618413
- Academia.edu profile URL
- univ-larochelle.academia.edu
- DBLP author ID
- 48/5367
- Dimensions author ID
- 012230735321.13
- HAL author ID
- thierry-bouwmans
- IEEE Xplore author ID
- 37350118200
- IdRef ID
- 191905364
- Loop ID
- 358740
- NL CR AUT ID
- ntk20201096467
- NUKAT ID
- n2015171585
Show all 17 identifiers +5
- Publons author ID
- 619281
- ResearchGate profile ID
- Thierry_BOUWMANS
- Scopus author ID
- 25631832300
- Web of Science ResearcherID
- H-7041-2017
- Yale LUX ID
- person/8bc3b987-1559-4227-8a20-eddb7b02203d
🔗 Connections
Author of 28
A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking,
Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering,
Background subtraction in real applications: Challenges, current models and future directions,
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance,
Detection of Moving Objects,
Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations,
Graph-based Moving Object Segmentation for underwater videos using semi-supervised learning,
Graph Moving Object Segmentation
+20 more
← Authored by 28
A Novel Algorithm Based on a Common Subspace Fusion for Visual Object Tracking,
Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering,
Background subtraction in real applications: Challenges, current models and future directions,
Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance,
Detection of Moving Objects,
Face Identification Using Data Augmentation Based on the Combination of DCGANs and Basic Manipulations,
Graph-based Moving Object Segmentation for underwater videos using semi-supervised learning,
Graph Moving Object Segmentation
+20 more
Field of work 6
Affiliated with 2
Occupation 2
Employer 1
Given name 1
Instance of 1
Sex or gender 1
Press Enter · cited answer in seconds