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2020 – today
- 2024
[c12]Maria Francesca Costabile, Rosa Lanzilotti, Maristella Matera, Antonio Piccinno, Nicolas Pinto, Ludovica Piro, Emanuele Pucci, Grazia Ragone:
Participatory Design for Creating Conversational Agents to Improve Web Accessibility. PDEUD@NordiCHI 2024- 2022
- [i5]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally
, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk:
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR abs/2203.03022 (2022) - 2021
- [c11]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk:
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 2021: 125-145 - 2020
- [c10]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. EMNLP (1) 2020: 8718-8735 - [i4]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. CoRR abs/2004.10151 (2020)
2010 – 2019
- 2014
- [j6]Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo:
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. PLoS Comput. Biol. 10(12) (2014) - [j5]Giovani Chiachia, Alexandre X. Falcão, Nicolas Pinto, Anderson Rocha, David D. Cox:
Learning Person-Specific Representations From Faces in the Wild. IEEE Trans. Inf. Forensics Secur. 9(12): 2089-2099 (2014) - [i3]Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo:
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. CoRR abs/1406.3284 (2014) - 2013
- [c9]Manuel Günther, Artur Costa-Pazo, Changxing Ding, Elhocine Boutellaa, Giovani Chiachia, Honglei Zhang, Marcus A. Angeloni, Vitomir Struc, Elie Khoury, Esteban Vázquez-Fernández, Dacheng Tao, Messaoud Bengherabi, David D. Cox, Serkan Kiranyaz, Tiago de Freitas Pereira, Jerneja Zganec-Gros, Enrique Argones-Rúa, Nicolas Pinto, Moncef Gabbouj, Flávio Olmos Simões, Simon Dobrisek, Daniel González-Jiménez, Anderson Rocha, Mário Uliani Neto, Nikola Pavesic, Alexandre Xavier Falcão, Ricardo P. V. Violato, Sébastien Marcel:
The 2013 face recognition evaluation in mobile environment. ICB 2013: 1-7 - [c8]James Bergstra, Nicolas Pinto, David D. Cox:
SkData: Data Sets and Algorithm Evaluation Protocols in Python. SciPy 2013: 20-26 - [c7]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. ICLR 2013 - [i2]Andreas Klöckner, Nicolas Pinto, Bryan Catanzaro, Yunsup Lee, Paul Ivanov, Ahmed Fasih:
GPU Scripting and Code Generation with PyCUDA. CoRR abs/1304.5553 (2013) - 2012
- [j4]Nicolas Pinto, David D. Cox:
High-throughput-derived biologically-inspired features for unconstrained face recognition. Image Vis. Comput. 30(3): 159-168 (2012) - [j3]Andreas Klöckner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih:
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation. Parallel Comput. 38(3): 157-174 (2012) - [c6]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 - 2011
- [c5]Nicolas Pinto, Zak Stone, Todd E. Zickler, David D. Cox:
Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook. CVPR Workshops 2011: 35-42 - [c4]David D. Cox, Nicolas Pinto:
Beyond simple features: A large-scale feature search approach to unconstrained face recognition. FG 2011: 8-15 - [c3]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 - 2010
- [c2]Nicolas Pinto, David D. Cox:
An Evaluation of the Invariance Properties of a Biologically-Inspired System for Unconstrained Face Recognition. BIONETICS 2010: 505-518
2000 – 2009
- 2009
- [j2]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 Comput. Biol. 5(11) (2009) - [c1]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 - [i1]Andreas Klöckner, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih:
PyCUDA: GPU Run-Time Code Generation for High-Performance Computing. CoRR abs/0911.3456 (2009) - 2008
- [j1]Nicolas Pinto, David D. Cox, James J. DiCarlo:
Why is Real-World Visual Object Recognition Hard? PLoS Comput. Biol. 4(1) (2008)
Coauthor Index
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