Nicolas Pinto

Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo: The Neural Representation Benchmark and its Evaluation on Brain and Machine. CoRR abs/1301.3530 (2013)

Andreas Klöckner, Nicolas Pinto, Bryan C. Catanzaro, Yunsup Lee, Paul Ivanov, Ahmed Fasih: GPU Scripting and Code Generation with PyCUDA. CoRR abs/1304.5553 (2013)

Nicolas Pinto, David D. Cox: High-throughput-derived biologically-inspired features for unconstrained face recognition. Image Vision Comput. 30(3): 159-168 (2012)

Andreas Klöckner, Nicolas Pinto, Yunsup Lee, Bryan C. Catanzaro, Paul Ivanov, Ahmed Fasih: PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation. Parallel Computing 38(3): 157-174 (2012)

Giovani Chiachia, Nicolas Pinto, William Robson Schwartz, Anderson Rocha, Alexandre X. Falcão, David D. Cox: Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification. BMVC 2012: 1-12

David D. Cox, Nicolas Pinto: Beyond simple features: A large-scale feature search approach to unconstrained face recognition. FG 2011: 8-15

Nicolas Pinto, Youssef Barhomi, David D. Cox, James J. DiCarlo: Comparing state-of-the-art visual features on invariant object recognition tasks. WACV 2011: 463-470

Nicolas Pinto, David D. Cox: An Evaluation of the Invariance Properties of a Biologically-Inspired System for Unconstrained Face Recognition. BIONETICS 2010: 505-518

Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox: A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation. PLoS Computational Biology 5(11) (2009)

Nicolas Pinto, James J. DiCarlo, David D. Cox: How far can you get with a modern face recognition test set using only simple features?. CVPR 2009: 2591-2598

Andreas Klöckner, Nicolas Pinto, Yunsup Lee, Bryan C. Catanzaro, Paul Ivanov, Ahmed Fasih: PyCUDA: GPU Run-Time Code Generation for High-Performance Computing. CoRR abs/0911.3456 (2009)

Nicolas Pinto, David D. Cox, James J. DiCarlo: Why is Real-World Visual Object Recognition Hard? PLoS Computational Biology 4(1) (2008)