Nicholas Pinto
Affiliations: | Massachusetts Institute of Technology, Cambridge, MA, United States |
Area:
object recognition, computationWebsite:
http://pinto.scripts.mit.edu/Google:
"Nicholas Pinto"Mean distance: 14.62 (cluster 29) | S | N | B | C | P |
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Publications
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| Bergstra J, Pinto N, Cox DD. (2015) SkData: Data sets and algorithm evaluation protocols in Python Computational Science and Discovery. 8 |
| Cadieu CF, Hong H, Yamins DL, et al. (2014) Deep neural networks rival the representation of primate IT cortex for core visual object recognition. Plos Computational Biology. 10: e1003963 |
| Chiachia G, Falcão AX, Pinto N, et al. (2014) Learning person-specific representations from faces in the wild Ieee Transactions On Information Forensics and Security. 9: 2089-2099 |
| Chiachia G, Pinto N, Schwartz WR, et al. (2012) Person-specific subspace analysis for unconstrained familiar face identification Bmvc 2012 - Electronic Proceedings of the British Machine Vision Conference 2012 |
| Pinto N, Cox DD. (2012) High-throughput-derived biologically-inspired features for unconstrained face recognition Image and Vision Computing. 30: 159-168 |
| Pinto N, Cox DD. (2012) GPU Metaprogramming: A Case Study in Biologically Inspired Machine Vision Gpu Computing Gems Jade Edition. 457-471 |
| Pinto N, Cox D. (2012) An evaluation of the invariance properties of a biologically-inspired system for unconstrained face recognition Lecture Notes of the Institute For Computer Sciences, Social-Informatics and Telecommunications Engineering. 87: 505-518 |
| Pinto N, Barhomi Y, Cox DD, et al. (2011) Comparing state-of-the-art visual features on invariant object recognition tasks 2011 Ieee Workshop On Applications of Computer Vision, Wacv 2011. 463-470 |
| Cox D, Pinto N. (2011) Beyond simple features: A large-scale feature search approach to unconstrained face recognition 2011 Ieee International Conference On Automatic Face and Gesture Recognition and Workshops, Fg 2011. 8-15 |
| Pinto N, Stone Z, Zickler T, et al. (2011) Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops |