Refereed Papers



  • Chiachia G, Pinto N, Rocha AW, Schultz W, Falcao A, Cox DD (2012)

Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification

British Conference on Machine Vision (BMVC 2012)

{pdf}

  • Bergstra J, Pinto N, Cox DD (2012)

Machine Learning for Predictive Auto-Tuning with Boosted Regression Trees

Innovative Parallel Computing (InPar 2012)

{pdf}

  • 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, Doukhan D, DiCarlo JJ, Cox DD (2009)

A High-Throughput Screening Approach to Discovering Good Forms of Biologically-Inspired Visual Representation.

PLoS Computational Biology 5(11): e1000579. doi:10.1371/journal.pcbi.1000579

  • Featured in the prestigious Science's Editor Choice: "The Next Top Model"
  • ResearchCast Video: "Finding a better way for computers to 'see'"

{html} {pdf} {preprint} {MIT press release} {Harvard press release} {slashdot1} {slashdot2}

  • 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}

  • Pinto N*, Cox DD*, DiCarlo JJ (2008)

Why is Real-World Visual Object Recognition Hard?

PLoS Computational Biology 4(1): e27 doi:10.1371/journal.pcbi.0040027

{html} {pdf} {code} {press release} {gscholar}




In Preparation



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}

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} \\