Refereed Papers


  • Bergstra J, Pinto N, Cox DD (2012)
    Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees
    Innovative Parallel Computing (InPar 2012)


  • Pinto N, Stone Z, Zickler T, Cox DD (2011)
    Scaling Up Biologically-Inspired Computer Vision: a Case Study in Unconstrained Face Recognition on Facebook
    IEEE Computer Vision and Pattern Recognition (CVPR 2011), Workshop on Biologically-Consistent Vision (WBCV 2011)
    {pdf} {code}


  • Pinto N, Cox DD (2011)
    Beyond Simple Features: A Large-Scale Feature Search Approach to Unconstrained Face Recognition
    IEEE International Conference on Automatic Face and Gesture Recognition (2011)
    {pdf} {code}


  • Pinto N, Cox DD (2011)
    GPU Meta-Programming: A Case Study in Biologically-Inspired Machine Vision.
    GPU Computing Gems Volume 2 (to appear)


  • Pinto N, Barhomi Y, Cox DD, DiCarlo JJ (2011)
    Comparing State-of-the-Art Visual Features on Invariant Object Recognition Tasks
    IEEE Workshop on Applications of Computer Vision (WACV 2011)
    {pdf}


  • Pinto N, Cox DD (2010)
    Evaluating the Invariance Properties of a Successful Biologically-Inspired Face Recognition System
    ICST Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010)
    {pdf}



  • Pinto N, DiCarlo JJ, Cox DD (2009)
    How far can you get with a modern face recognition test set using only simple features?
    IEEE Computer Vision and Pattern Recognition (CVPR 2009).
    {pdf} {code}


  • Pinto N, DiCarlo JJ, Cox DD (2008)
    Establishing Good Benchmarks and Baselines for Face Recognition.
    IEEE European Conference on Computer Vision (ECCV 2008), Faces in 'Real-Life' Images Workshop (Oral Presentation).
    {pdf} {code} {gscholar}




In Preparation


  • Klöckner A, Pinto N, Lee Y, Catanzaro B, Ivanov P, Fasih A
    PyCUDA: GPU Run-Time Code Generation for High-Performance Computing.
    {arxiv} {code}


  • Pinto N, Moulson MC, Sinha P
    Discovering Faces in Infancy.
    {more info}


Abstracts, Posters and Presentations


  • Pinto N, Majaj NJ, Barhomi Y, Solomon EA, Cox DD, DiCarlo JJ (2010)
    Human versus machine: comparing visual object recognition systems on a level playing field.
    Snowbird Learning Workshop - Oral Presentation
    {abstract}


  • Pinto N, DiCarlo JJ, Cox DD (2010)
    A High-Throughput Screening Approach to Biologically-Inspired Object Recognition.
    Snowbird Learning Workshop - Oral Presentation
    {abstract}


  • Pinto N, Majaj NJ, Barhomi Y, Solomon EA, Cox DD, DiCarlo JJ (2010)
    Human versus machine: comparing visual object recognition systems on a level playing field.
    COSYNE 2010 - Poster Presentation


  • Pinto N, Cox DD, DiCarlo JJ (2009)
    Unlocking Brain-Inspired Computer Vision: a Multi-disciplinary, High-Throughput Approach
    McGill-UdeM-MITACS Machine Learning Seminar, LISA @ Montreal University - Oral Presentation
    {website}


  • Pinto N, Cox DD, DiCarlo JJ (2009)
    Unlocking Brain-Inspired Computer Vision
    GPU@BU, Boston University - Oral Presentation
    {website}


  • Pinto N, Cox DD, DiCarlo JJ (2009)
    The Visual Cortex and GPUs
    GPU Computing for Biomedical Research (2009) - Oral Presentation
    {website}


  • Pinto N, Cox DD, DiCarlo JJ (2009)
    Unlocking Biologically-Inspired Computer Vision: a High-Throughput Approach
    NVIDIA GPU Technology Conference (2009) - Oral Presentation
    {abstract}


  • Anderson J, Klöckner A, Phillips J, Pinto N, Stone J, Vasily V, Worley S (2009)
    The Art of Performance Tuning for the CUDA Architecture
    NVIDIA GPU Technology Conference (2009) - Panel Session


  • Pinto N, Cox DD, DiCarlo JJ (2009)
    A High-Throughput Screening Approach to Discovering Good Forms of Visual Representation.
    NVIDIA GPU Technology Conference (2009) - Poster Presentation


  • Pinto N (2009)
    Modeling the Brain on a GPU
    CRA-W/CDC Careers in High Performance Systems Mentoring Workshop (CHiPS 2009) - Oral Presentation


  • Pinto N, Moulson MC, Sinha P (2009)
    The Benefits of Poor Acuity for Face Learning.
    Vision Sciences Society (VSS 2009) - Oral Presentation
    {abstract} {more info}


  • Cox DD*, Pinto N* (contributed equally), Doukhan D, Corda B, DiCarlo JJ (2008)
    A High-Throughput Screening Approach to Discovering Good Forms of Visual Representation.
    COSYNE 2008 - Poster Presentation
    {abstract} {poster} {press release}


  • Pinto N*, Cox DD* (contributed equally), Corda B, Doukhan D, DiCarlo JJ (2008)
    Why is Real-World Object Recognition Hard?: Establishing Honest Benchmarks and Baselines for Object Recognition.
    COSYNE 2008 - Poster Presentation
    {abstract} {poster} {press release}



Technical Reports


  • Pinto N (2008)
    V1-like Features Gone Wild
    MIT/6.870
    {more info}


  • Pinto N (2007)
    Visual Object Recognition in the Real-World: A Biologically-Inspired, High-Throughput Approach.
    Masters of Science Thesis (MIT/UTBM/ENSISA/UHA)
    {more info}


  • Pinto N (2007)
    Biologically-Inspired Real-Time Frontal Face Detection on Playstation 3s.
    MIT/6.866
    {more info}


  • Pinto N (2004)
    Text Detection in Natural Scenes using Artificial Neural Networks.
    CBNU/UTBM
    {more info}

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