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Nicolas Pugeault
Nicolas Pugeault
Reader, School of Computing Science, University of Glasgow
Verified email at glasgow.ac.uk - Homepage
Title
Cited by
Cited by
Year
Spelling it out: Real-time ASL fingerspelling recognition
N Pugeault, R Bowden
2011 IEEE International conference on computer vision workshops (ICCV …, 2011
5372011
Sign language recognition using sub-units
HM Cooper, EJ Ong, N Pugeault, R Bowden
Journal of Machine Learning Research 13, 2205-2231, 2012
2612012
Image captioning through image transformer
S He, W Liao, HR Tavakoli, M Yang, B Rosenhahn, N Pugeault
Proceedings of the Asian conference on computer vision, 2020
1272020
Sign language recognition using sequential pattern trees
EJ Ong, H Cooper, N Pugeault, R Bowden
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2200-2207, 2012
1272012
A strategy for grasping unknown objects based on co-planarity and colour information
M Popović, D Kraft, L Bodenhagen, E Başeski, N Pugeault, D Kragic, ...
Robotics and Autonomous Systems 58 (5), 551-565, 2010
1172010
Birth of the object: Detection of objectness and extraction of object shape through object–action complexes
D Kraft, N Pugeault, E Başeski, M POPOVIĆ, D Kragić, S Kalkan, ...
International Journal of Humanoid Robotics 5 (02), 247-265, 2008
1132008
Object action complexes as an interface for planning and robot control
C Geib, K Mourao, R Petrick, N Pugeault, M Steedman, N Krueger, ...
IEEE-RAS Humanoids-06 Workshop: Towards Cognitive Humanoid Robots, 2006
962006
A probabilistic framework for 3D visual object representation
R Detry, N Pugeault, JH Piater
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (10), 1790 …, 2009
872009
Denoising autoencoders for unsupervised anomaly detection in brain MRI
A Kascenas, N Pugeault, AQ O’Neil
International Conference on Medical Imaging with Deep Learning, 653-664, 2022
632022
Visual primitives: local, condensed, semantically rich visual descriptors and their applications in robotics
N Pugeault, F Woergoetter, N Krüger
International Journal of Humanoid Robotics 7 (03), 379-405, 2010
57*2010
Performance of correspondence algorithms in vision-based driver assistance using an online image sequence database
R Klette, N Kruger, T Vaudrey, K Pauwels, M Van Hulle, S Morales, ...
IEEE Transactions on Vehicular Technology 60 (5), 2012-2026, 2011
562011
Human attention in image captioning: Dataset and analysis
S He, HR Tavakoli, A Borji, N Pugeault
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
532019
Sign spotting using hierarchical sequential patterns with temporal intervals
EJ Ong, O Koller, N Pugeault, R Bowden
Proceedings of the IEEE conference on computer vision and pattern …, 2014
502014
Early reactive grasping with second order 3D feature relations
D Aarno, J Sommerfeld, D Kragic, N Pugeault, S Kalkan, F Wörgötter, ...
Recent Progress in Robotics: Viable Robotic Service to Human: An Edition of …, 2008
502008
Understanding and visualizing deep visual saliency models
S He, HR Tavakoli, A Borji, Y Mi, N Pugeault
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
482019
How much of driving is preattentive?
N Pugeault, R Bowden
IEEE Transactions on Vehicular Technology 64 (12), 5424-5438, 2015
482015
Development of object and grasping knowledge by robot exploration
D Kraft, R Detry, N Pugeault, E Başeski, F Guerin, JH Piater, N Krüger
IEEE Transactions on Autonomous Mental Development 2 (4), 368-383, 2010
462010
A compact harmonic code for early vision based on anisotropic frequency channels
SP Sabatini, G Gastaldi, F Solari, K Pauwels, MM Van Hulle, J Diaz, ...
Computer Vision and Image Understanding 114 (6), 681-699, 2010
462010
Early cognitive vision: Feedback mechanisms for the disambiguation of early visual representation
N Pugeault
Göttingen, Univ., Diss., 2008, 2008
462008
Sedar-semantic detection and ranging: Humans can localise without lidar, can robots?
O Mendez, S Hadfield, N Pugeault, R Bowden
2018 IEEE International Conference on Robotics and Automation (ICRA), 6053-6060, 2018
432018
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