Tomaso A. Poggio

According to our database1, Tomaso A. Poggio authored at least 193 papers between 1984 and 2021.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows.
IEEE Signal Process. Mag., 2021

The Effects of Image Distribution and Task on Adversarial Robustness.
CoRR, 2021

Explicit regularization and implicit bias in deep network classifiers trained with the square loss.
CoRR, 2021

2020
An analysis of training and generalization errors in shallow and deep networks.
Neural Networks, 2020

CUDA-Optimized real-time rendering of a Foveated Visual System.
CoRR, 2020

For interpolating kernel machines, the minimum norm ERM solution is the most stable.
CoRR, 2020

Hierarchically Local Tasks and Deep Convolutional Networks.
CoRR, 2020

Biologically Inspired Mechanisms for Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Cross-Domain Adversarial Reprogramming of a Recurrent Neural Network.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Approximate Inference with Wasserstein Gradient Flows.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Symmetry-adapted representation learning.
Pattern Recognit., 2019

Double descent in the condition number.
CoRR, 2019

Theoretical Issues in Deep Networks: Approximation, Optimization and Generalization.
CoRR, 2019

Function approximation by deep networks.
CoRR, 2019

Theory III: Dynamics and Generalization in Deep Networks.
CoRR, 2019

Fast and Flexible Inference of Joint Distributions from their Marginals.
Proceedings of the 36th International Conference on Machine Learning, 2019

Biologically-Plausible Learning Algorithms Can Scale to Large Datasets.
Proceedings of the 7th International Conference on Learning Representations, 2019

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
A Surprising Linear Relationship Predicts Test Performance in Deep Networks.
CoRR, 2018

Theory IIIb: Generalization in Deep Networks.
CoRR, 2018

Theory of Deep Learning IIb: Optimization Properties of SGD.
CoRR, 2018

Theory of Deep Learning III: explaining the non-overfitting puzzle.
CoRR, 2018

2017
Invariant recognition drives neural representations of action sequences.
PLoS Comput. Biol., 2017

Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review.
Int. J. Autom. Comput., 2017

Theory II: Landscape of the Empirical Risk in Deep Learning.
CoRR, 2017

Pruning Convolutional Neural Networks for Image Instance Retrieval.
CoRR, 2017

Do Deep Neural Networks Suffer from Crowding?
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

Compression of Deep Neural Networks for Image Instance Retrieval.
Proceedings of the 2017 Data Compression Conference, 2017

Representation Learning from Orbit Sets for One-Shot Classification.
Proceedings of the 2017 AAAI Spring Symposia, 2017

Group Invariant Deep Representations for Image Instance Retrieval.
Proceedings of the 2017 AAAI Spring Symposia, 2017

Is the Human Visual System Invariant to Translation and Scale?
Proceedings of the 2017 AAAI Spring Symposia, 2017

Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision.
Proceedings of the 2017 AAAI Spring Symposia, 2017

When and Why Are Deep Networks Better Than Shallow Ones?
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Unsupervised learning of invariant representations.
Theor. Comput. Sci., 2016

Deep vs. shallow networks : An approximation theory perspective.
CoRR, 2016

Learning Real and Boolean Functions: When Is Deep Better Than Shallow.
CoRR, 2016

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex.
CoRR, 2016

Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning.
CoRR, 2016

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation.
CoRR, 2016

Turing++ Questions: A Test for the Science of (Human) Intelligence.
AI Mag., 2016

Invariant representation for blur and down-sampling transformations.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Holographic Embeddings of Knowledge Graphs.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

How Important Is Weight Symmetry in Backpropagation?
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex.
PLoS Comput. Biol., 2015

Foveation-based Mechanisms Alleviate Adversarial Examples.
CoRR, 2015

Deep Convolutional Networks are Hierarchical Kernel Machines.
CoRR, 2015

On Invariance and Selectivity in Representation Learning.
CoRR, 2015

Learning with Group Invariant Features: A Kernel Perspective.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning with a Wasserstein Loss.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Discriminative template learning in group-convolutional networks for invariant speech representations.
Proceedings of the INTERSPEECH 2015, 2015

Convex Learning of Multiple Tasks and their Structure.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Visual Cortex Models for Object Recognition.
Computer Vision, A Reference Guide, 2014

Machine Recognition of Objects.
Computer Vision, A Reference Guide, 2014

Deep Learning: Theory, Algorithms, and Applications (NII Shonan Meeting 2014-5).
NII Shonan Meet. Rep., 2014

Neural tuning size is a key factor underlying holistic face processing.
CoRR, 2014

Computational role of eccentricity dependent cortical magnification.
CoRR, 2014

Unsupervised learning of clutter-resistant visual representations from natural videos.
CoRR, 2014

Learning An Invariant Speech Representation.
CoRR, 2014

Subtasks of Unconstrained Face Recognition.
Proceedings of the VISAPP 2014, 2014

Phone classification by a hierarchy of invariant representation layers.
Proceedings of the INTERSPEECH 2014, 2014

Word-level invariant representations from acoustic waveforms.
Proceedings of the INTERSPEECH 2014, 2014

A deep representation for invariance and music classification.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Throwing Down the Visual Intelligence Gauntlet.
Proceedings of the Machine Learning for Computer Vision, 2013

Models of visual cortex.
Scholarpedia, 2013

Can a biologically-plausible hierarchy effectively replace face detection, alignment, and recognition pipelines?
CoRR, 2013

Unsupervised Learning of Invariant Representations in Hierarchical Architectures.
CoRR, 2013

Neural representation of action sequences: how far can a simple snippet-matching model take us?
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning invariant representations and applications to face verification.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

The Computational Magic of Pattern Recognition in Cortex: A Theory of Selectivity and Invariance.
Proceedings of the ICPRAM 2013, 2013

On Learnability, Complexity and Stability.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
Learning and disrupting invariance in visual recognition with a temporal association rule.
Frontiers Comput. Neurosci., 2012

Multiclass Learning with Simplex Coding.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Manifolds with K-Means and K-Flats.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Online Learning, Stability, and Stochastic Gradient Descent
CoRR, 2011

Why The Brain Separates Face Recognition From Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

HMDB: A large video database for human motion recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Attention as a Bayesian inference process.
Proceedings of the Human Vision and Electronic Imaging XVI, 2011

2010
Mathematics of the Neural Response.
Found. Comput. Math., 2010

A neuromorphic approach to computer vision.
Commun. ACM, 2010

Hierarchical Learning Machines and Neuroscience of Visual Cortex.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Trainable, vision-based automated home cage behavioral phenotyping.
Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research, 2010

2009
On Invariance in Hierarchical Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
A Canonical Neural Circuit for Cortical Nonlinear Operations.
Neural Comput., 2008

Discriminative word-spotting using ordered spectro-temporal patch features.
Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 2008

Localized spectro-temporal cepstral analysis of speech.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Robust Object Recognition with Cortex-Like Mechanisms.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Component-based Framework for Face Detection and Identification.
Int. J. Comput. Vis., 2007

Spectro-temporal analysis of speech using 2-d Gabor filters.
Proceedings of the INTERSPEECH 2007, 2007

A Biologically Inspired System for Action Recognition.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.
Adv. Comput. Math., 2006

Neuroscience: New Insights for AI?
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Biophysical Models of Neural Computation: Max and Tuning Circuits.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

Max-Gabor analysis and synthesis of spectrograms.
Proceedings of the INTERSPEECH 2006, 2006

A Multiview Face Identification Model With No Geometric Constraints.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

2005
Foreword.
Found. Comput. Math., 2005

Morphing spectral envelopes using audio flow.
Proceedings of the INTERSPEECH 2005, 2005

Learning Features of Intermediate Complexity for the Recognition of Biological Motion.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Object Recognition with Features Inspired by Visual Cortex.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Oriented Filters for Object Recognition: an Empirical Study.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

2003
Image Representations and Feature Selection for Multimedia Database Search.
IEEE Trans. Knowl. Data Eng., 2003

An Analytical Method for Multiclass Molecular Cancer Classification.
SIAM Rev., 2003

Full-body person recognition system.
Pattern Recognit., 2003

Hierarchical classification and feature reduction for fast face detection with support vector machines.
Pattern Recognit., 2003

Face recognition: component-based versus global approaches.
Comput. Vis. Image Underst., 2003

Reanimating Faces in Images and Video.
Comput. Graph. Forum, 2003

Learning and Perceptual Interfaces.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
Trainable videorealistic speech animation.
ACM Trans. Graph., 2002

Biophysiologically Plausible Implementations of the Maximum Operation.
Neural Comput., 2002

Attentional Selection for Object Recognition - A Gentle Way.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

Visual Categorization: How the Monkey Brain Does It.
Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001
Example-Based Object Detection in Images by Components.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Categorization by Learning and Combining Object Parts.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Face Recognition with Support Vector Machines: Global versus Component-based Approach.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Component-based Face Detection.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Introduction: Learning and Vision at CBCL.
Int. J. Comput. Vis., 2000

A Trainable System for Object Detection.
Int. J. Comput. Vis., 2000

Morphable Models for the Analysis and Synthesis of Complex Motion Patterns.
Int. J. Comput. Vis., 2000

Visual Speech Synthesis by Morphing Visemes.
Int. J. Comput. Vis., 2000

Statistical Learning Theory: A Primer.
Int. J. Comput. Vis., 2000

Regularization Networks and Support Vector Machines.
Adv. Comput. Math., 2000

Feature Selection for SVMs.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Incremental and Decremental Support Vector Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

People Recognition and Pose Estimation in Image Sequences.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Bounds on the Generalization Performance of Kernel Machine Ensembles.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Learning-Based Approach to Real Time Tracking and Analysis of Faces.
Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2000), 2000

CBF: A New Framework for Object Categorization in Cortex.
Proceedings of the Biologically Motivated Computer Vision, 2000

1999
GEM: A Global Electronic Market System.
Inf. Syst., 1999

Machine Learning, Machine Vision, and the Brain.
AI Mag., 1999

Trainable Pedestrian Detection.
Proceedings of the 1999 International Conference on Image Processing, 1999

A Pattern Classification Approach to Dynamical Object Detection.
Proceedings of the International Conference on Computer Vision, 1999

Sparse correlation kernel reconstruction.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Guest Editorial Applications Of Artificial Neural Networks To Image Processing.
IEEE Trans. Image Process., 1998

Example-Based Learning for View-Based Human Face Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

A Sparse Representation For Function Approximation.
Neural Comput., 1998

Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes.
Int. J. Comput. Vis., 1998

A General Framework for Object Detection.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Multidimensional Morphable Models.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Hierarchical Morphable Models.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

MikeTalk: A Talking Facial Display Based on Morphing Visemes.
Proceedings of the Computer Animation 1998, 1998

1997
Comparing support vector machines with Gaussian kernels to radial basis function classifiers.
IEEE Trans. Signal Process., 1997

Guest Editors' Introduction: Neural Networks For Signal Processing.
IEEE Trans. Signal Process., 1997

Template matching: matched spatial filters and beyond.
Pattern Recognit., 1997

Linear Object Classes and Image Synthesis From a Single Example Image.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Image-based view synthesis by combining trilinear tensors and learning techniques.
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 1997

Just One View: Invariances in Inferotemporal Cell Tuning.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

A bootstrapping algorithm for learning linear models of object classes.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Pedestrian Detection Using Wavelet Templates.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Videorealistic talking faces: a morphing approach.
Proceedings of the ESCA Workshop on Audio-Visual Speech Processing, 1997

Image Representations for Visual Learning (Invited Paper).
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 1997

1996
3D Object Recognition: A Model of View-Tuned Neurons.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Facial Analysis and Synthesis Using Image-Based Models.
Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96), 1996

Image Synthesis from a Single Example Image.
Proceedings of the Computer Vision, 1996

1995
Regularization Theory and Neural Networks Architectures.
Neural Comput., 1995

Automatic person recognition by acoustic and geometric features.
Mach. Vis. Appl., 1995

Optical flow from 1-D correlation: Application to a simple time-to-crash detector.
Int. J. Comput. Vis., 1995

Model-Based Matching of Line Drawings by Linear Combinations of Prototypes.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Face Recognition from One Example View.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Learning Human Face Detection in Cluttered Scenes.
Proceedings of the Computer Analysis of Images and Patterns, 6th International Conference, 1995

Finding Human Faces with a Gaussian Mixture Distribution-Based Face Model.
Proceedings of the Recent Developments in Computer Vision, 1995

1994
Introduction to the Special Section on Learning in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

1993
Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence.
IEEE Trans. Knowl. Data Eng., 1993

Face Recognition: Features Versus Templates.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

Werner Reichardt 1924-1992.
Biol. Cybern., 1993

Caricatural effects in automated face perception.
Biol. Cybern., 1993

Optical flow from 1D correlation: Application to a simple time-to-crash detector.
Proceedings of the Fourth International Conference on Computer Vision, 1993

1992
Bringing the Grandmother back into the Picture: A Memory-Based View of Object Recognition.
Int. J. Pattern Recognit. Artif. Intell., 1992

Analog VLSI systems for image acquisition and fast early vision processing.
Int. J. Comput. Vis., 1992

Learning of visual modules from examples: A framework for understanding adaptive visual performance.
CVGIP Image Underst., 1992

Face Recognition through Geometrical Features.
Proceedings of the Computer Vision, 1992

1991
Parallel Processing in the DARPA Strategic Computing Vision Program.
IEEE Expert, 1991

HyperBF Networks for Real Object Recognition.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1990
Extensions of a Theory of Networks for Approximation and Learning.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
Integration of vision modules and labeling of surface discontinuities.
IEEE Trans. Syst. Man Cybern., 1989

Motion Field and Optical Flow: Qualitative Properties.
IEEE Trans. Pattern Anal. Mach. Intell., 1989

Representation Properties of Networks: Kolmogorov's Theorem Is Irrelevant.
Neural Comput., 1989

1988
Learning, regularization and splines.
Neural Networks, 1988

Representation properties of multilayer feedforward networks.
Neural Networks, 1988

A regularized solution to edge detection.
J. Complex., 1988

A Network for Image Segmentation Using Color.
Proceedings of the Advances in Neural Information Processing Systems 1, 1988

Parallel Optical Flow Using Local Voting.
Proceedings of the Second International Conference on Computer Vision, 1988

1987
Learning a Color Algorithm from Examples.
Proceedings of the Neural Information Processing Systems, Denver, Colorado, USA, 1987, 1987

An Optimal Scale for Edge Detection.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1986
Scaling Theorems for Zero Crossings.
IEEE Trans. Pattern Anal. Mach. Intell., 1986

On Edge Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 1986

On parallel stereo.
Proceedings of the 1986 IEEE International Conference on Robotics and Automation, 1986

1985
Early vision: From computational structure to algorithms and parallel hardware.
Comput. Vis. Graph. Image Process., 1985

1984
Fingerprints Theorems.
Proceedings of the National Conference on Artificial Intelligence. Austin, 1984


  Loading...