Publications

Export 13 results:

Sort by: [ Author

Filters: First Letter Of Last Name is P [Clear All Filters]

A B C D E F G H I J K L M N O [P] Q R S T U V W X Y Z [Show ALL]

[68] Pagan A, Alemi-Neissi A, Baldassi C, Zecchina R, DiCarlo JJ, Zoccolan D. From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex. Salt Lake City, UT; 2011.

[77] Papanastassiou A, de Beeck HOP, Andken BB, DiCarlo JJ. A systematic exploration of the relationship of fMRI signals and neuronal activity in the primate temporal lobe. Washington, DC; 2008.

[84] Pinto N, Cox DD, Corda B, Doukhan D, DiCarlo JJ. Why is real-world object recognition hard?: Establishing honest benchmarks and baselines for object recognition. Salt Lake City, UT; 2008.

[73] Pinto N, Cox DD, DiCarlo JJ. The Visual Cortex and GPUs. MGH Boston, MA; 2009.

[69] Pinto N, Majaj NJ, Barhomi Y, Solomon EA, Cox DD, DiCarlo JJ. Human versus machine: comparing visual object recognition systems on a level playing field. Snowbird, UT; 2010.

[53] Pinto N, DiCarlo JJ, Cox DD. How far can you get with a modern face recognition test set using only simple features?.; 2009.

[pinto_high-throughput_2009] Pinto N, Doukhan D, DiCarlo JJ, Cox DD. "A high-throughput screening approach to discovering good forms of biologically inspired visual representation." {PLoS} Computational Biology. 2009;5:e1000579. Abstract

[74] Pinto N, Cox DD, DiCarlo JJ. Unlocking Biologically-Inspired Computer Vision: a High-Throughput Approach. San Jose, CA; 2009.

[70] Pinto N, DiCarlo JJ, Cox DD. A High-Throughput Screening Approach to Biologically-Inspired Object Recognition. Snowbird, UT; 2010.

[54] Pinto N, DiCarlo JJ, Cox DD. Establishing Good Benchmarks and Baselines for Face Recognition.; 2008.

[pinto_why_2008] Pinto N, Cox DD, DiCarlo JJ. "Why is real-world visual object recognition hard?" {PLoS} Computational Biology. 2008;4:e27. Abstract

[72] Pinto N, Cox DD, DiCarlo JJ. Unlocking Brain-Inspired Computer Vision. Boston University, MA; 2009.

[52] Pinto N, Barhomi Y, Cox DD, DiCarlo JJ. Comparing-State-of-the-Art Visual Features on Invariant Object Recognition Tasks. Kona, HI; 2011.

The DiCarlo Lab at MIT

Publications