Programming massively parallel processors: a hands-on approach DB Kirk, WH Wen-Mei Morgan kaufmann, 2016 | 4071 | 2016 |
PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation A Klöckner, N Pinto, Y Lee, B Catanzaro, P Ivanov, A Fasih Parallel Computing, 2011 | 845* | 2011 |
Deep neural networks rival the representation of primate IT cortex for core visual object recognition CF Cadieu, H Hong, DLK Yamins, N Pinto, D Ardila, EA Solomon, ... PLoS computational biology 10 (12), e1003963, 2014 | 816 | 2014 |
Why is real-world visual object recognition hard? N Pinto, DD Cox, JJ DiCarlo PLoS computational biology 4 (1), e27, 2008 | 753 | 2008 |
GPU computing gems jade edition W Hwu Elsevier, 2011 | 398 | 2011 |
A high-throughput screening approach to discovering good forms of biologically inspired visual representation N Pinto, D Doukhan, JJ DiCarlo, DD Cox PLoS computational biology 5 (11), e1000579, 2009 | 382 | 2009 |
Experience grounds language Y Bisk, A Holtzman, J Thomason, J Andreas, Y Bengio, J Chai, M Lapata, ... arXiv preprint arXiv:2004.10151, 2020 | 369 | 2020 |
Beyond simple features: A large-scale feature search approach to unconstrained face recognition N Pinto, DD Cox IEEE Automated Face and Gesture Recognition (FG) 25, 26-27, 2011 | 279* | 2011 |
How far can you get with a modern face recognition test set using only simple features? N Pinto, JJ DiCarlo, DD Cox Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009 | 266 | 2009 |
Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook N Pinto, Z Stone, T Zickler, D Cox CVPR 2011 workshops, 35-42, 2011 | 164 | 2011 |
GPU computing gems emerald edition WH Wen-Mei Elsevier, 2011 | 106 | 2011 |
Machine learning for predictive auto-tuning with boosted regression trees J Bergstra, N Pinto, D Cox 2012 Innovative Parallel Computing (InPar), 1-9, 2012 | 94 | 2012 |
Hear: Holistic evaluation of audio representations J Turian, J Shier, HR Khan, B Raj, BW Schuller, CJ Steinmetz, C Malloy, ... NeurIPS 2021 Competitions and Demonstrations Track, 125-145, 2022 | 88 | 2022 |
Comparing state-of-the-art visual features on invariant object recognition tasks N Pinto, Y Barhomi, DD Cox, JJ DiCarlo 2011 IEEE workshop on Applications of computer vision (WACV), 463-470, 2011 | 84 | 2011 |
Establishing good benchmarks and baselines for face recognition N Pinto, JJ DiCarlo, DD Cox Workshop on Faces In'Real-Life'Images: Detection, Alignment, and Recognition, 2008 | 63 | 2008 |
The 2013 face recognition evaluation in mobile environment M Günther, A Costa-Pazo, C Ding, E Boutellaa, G Chiachia, H Zhang, ... 2013 International Conference on Biometrics (ICB), 1-7, 2013 | 54 | 2013 |
Learning person-specific representations from faces in the wild G Chiachia, AX Falcao, N Pinto, A Rocha, D Cox IEEE Transactions on Information Forensics and Security 9 (12), 2089-2099, 2014 | 49 | 2014 |
The neural representation benchmark and its evaluation on brain and machine CF Cadieu, H Hong, D Yamins, N Pinto, NJ Majaj, JJ DiCarlo arXiv preprint arXiv:1301.3530, 2013 | 36 | 2013 |
GPU Computing Gems Jade Edition WH Wen-mei Elsevier, 2011 | 16 | 2011 |
Human versus machine: comparing visual object recognition systems on a level playing field N Pinto, N Majaj, Y Barhomi, E Solomon, JJ DiCarlo Cosyne Abstracts, 2010 | 15 | 2010 |