Nicolas Pinto
According to our database1,
Nicolas Pinto
authored at least 21 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Participatory Design for Creating Conversational Agents to Improve Web Accessibility.
Proceedings of the First International Workshop on Participatory Design & End-User Development, 2024
2022
2021
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2014
IEEE Trans. Inf. Forensics Secur., 2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition.
PLoS Comput. Biol., 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
Proceedings of the 12th Python in Science Conference, 2013
Proceedings of the International Conference on Biometrics, 2013
2012
Parallel Comput., 2012
High-throughput-derived biologically-inspired features for unconstrained face recognition.
Image Vis. Comput., 2012
Proceedings of the British Machine Vision Conference, 2012
2011
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011
Beyond simple features: A large-scale feature search approach to unconstrained face recognition.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011
Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
An Evaluation of the Invariance Properties of a Biologically-Inspired System for Unconstrained Face Recognition.
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010
2009
A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation.
PLoS Comput. Biol., 2009
How far can you get with a modern face recognition test set using only simple features?.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
2008