A computational model of texture segmentation. - Jitendra Malik; Pietro Perona (CVPR, 1989)

Detecting and localizing edges composed of steps, peaks and roofs. - Pietro Perona; Jitendra Malik (ICCV, 1990)

Scale-Space and Edge Detection Using Anisotropic Diffusion. - Pietro Perona; Jitendra Malik (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

Boundary Detection in Piecewise Homogeneous Textured Images. - Stefano Casadei; Sanjoy K. Mitter; Pietro Perona (ECCV, 1992)

Steerable-scalable kernels for edge detection and junction analysis. - Pietro Perona (Image Vis. Comput., 1992)

Recursive motion and structure estimation with complete error characterization. - Stefano Soatto; Pietro Perona; Ruggero Frezza; Giorgio Picci (CVPR, 1993)

Automating the hunt for volcanoes on Venus. - Michael C. Burl; Usama M. Fayyad; Pietro Perona; Padhraic Smyth (CVPR, 1994)

Overcomplete steerable pyramid filters and rotation invariance. - Hayit Greenspan; Serge J. Belongie; Rodney M. Goodman; Pietro Perona; Subrata Rakshit; Charles H. Anderson (CVPR, 1994)

X-Y separable pyramid steerable scalable kernels. - Douglas Shy; Pietro Perona (CVPR, 1994)

Scale-space Properties of Quadratic Edge Detectors. - Paul Kube; Pietro Perona (ECCV (1), 1994)

Motion Estimation on the Essential Manifold. - Stefano Soatto; Ruggero Frezza; Pietro Perona (ECCV (2), 1994)

Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth. - Michael C. Burl; Usama M. Fayyad; Pietro Perona; Padhraic Smyth (ICIP (3), 1994)

Diffusion Networks for On-Chip Image Contrast Normalization. - Pietro Perona; Marco Tartagni (ICIP (1), 1994)

Dynamic Visual Motion Estimation from Subspace Constraints. - Stefano Soatto; Pietro Perona (ICIP (1), 1994)

Recursive Estimation of Camera Motion from Uncalibrated Image Sequences. - Stefano Soatto; Pietro Perona (ICIP (3), 1994)

Rotation invariant texture recognition using a steerable pyramid. - Hayit Greenspan; Serge J. Belongie; Rodney M. Goodman; Pietro Perona (ICPR (2), 1994)

Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. - Padhraic Smyth; Michael C. Burl; Usama M. Fayyad; Pietro Perona (KDD Workshop, 1994)

Inferring Ground Truth from Subjective Labelling of Venus Images. - Padhraic Smyth; Usama M. Fayyad; Michael C. Burl; Pietro Perona; Pierre Baldi (NIPS, 1994)

Anisotropic Diffusion. - Pietro Perona; Takahiro Shiota; Jitendra Malik (Geometry-Driven Diffusion in Computer Vision, 1994)

Monocular Tracking of the Human Arm in 3D. - Enrico Di Bernardo; Luis Goncalves; Enrico Ursella; Pietro Perona (ICCV, 1995)

Visual Navigation Using a Single Camera. - Jean-Yves Bouguet; Pietro Perona (ICCV, 1995)

Finding Faces in Cluttered Scenes Using Labeled Random Graph Matching. - Thomas K. Leung; Michael C. Burl; Pietro Perona (ICCV, 1995)

Dynamic Rigid Motion Estimation from Weak Perspective. - Stefano Soatto; Pietro Perona (ICCV, 1995)

Pyramidal implementation of deformable kernels. - Roberto Manduchi; Pietro Perona (ICIP, 1995)

Visual motion estimation from point features: unified view. - Stefano Soatto; Pietro Perona (ICIP (3), 1995)

Deformable Kernels for Early Vision. - Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1995)

Modeling Subjective Uncertainty in Image Annotation. - Padhraic Smyth; Usama M. Fayyad; Michael C. Burl; Pietro Perona (Advances in Knowledge Discovery and Data Mining, 1996)

Recognition of Planar Object Classes. - Michael C. Burl; Pietro Perona (CVPR, 1996)

Reducing "structure from motion". - Stefano Soatto; Pietro Perona (CVPR, 1996)

Monocular tracking of the human arm in 3D: real-time implementation and experiments. - Enrico Di Bernardo; Luis Goncalves; Pietro Perona (ICPR, 1996)

Scale-Space Properties of Quadratic Feature Detectors. - Paul Kube; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Motion estimation via dynamic vision. - Stefano Soatto; Ruggero Frezza; Pietro Perona (IEEE Trans. Autom. Control., 1996)

Motion from Fixation. - Stefano Soatto; Pietro Perona (Real Time Imaging, 1997)

Real-Time 2-D Feature Detection on a Reconfigurable Computer. - Arrigo Benedetti; Pietro Perona (CVPR, 1998)

Using Hierarchical Shape Models to Spot Keywords in Cursive Handwriting Data. - Michael C. Burl; Pietro Perona (CVPR, 1998)

Scene Segmentation from 3D Motion. - Xiaolin Feng; Pietro Perona (CVPR, 1998)

Probablistic Affine Invariants for Recognition. - Thomas K. Leung; Michael C. Burl; Pietro Perona (CVPR, 1998)

A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry. - Michael C. Burl; Markus Weber; Pietro Perona (ECCV (2), 1998)

Camera-Based ID Verification by Signature Tracking. - Mario E. Munich; Pietro Perona (ECCV (1), 1998)

A Factorization Approach to Grouping. - Pietro Perona; William T. Freeman (ECCV (1), 1998)

3D photography using shadows. - Jean-Yves Bouguet; Pietro Perona (EUSIPCO, 1998)

Reach Out and Touch Space (Motion Learning). - Luis Goncalves; Enrico Di Bernardo; Pietro Perona (FG, 1998)

3D Photography on Your Desk. - Jean-Yves Bouguet; Pietro Perona (ICCV, 1998)

Learning to Recognize Volcanoes on Venus. - Michael C. Burl; Lars Asker; Padhraic Smyth; Usama M. Fayyad; Pietro Perona; Larry Crumpler; Jayne Aubele (Mach. Learn., 1998)

Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling. - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment. - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Correction to: "Reducing 'Structure From Motion': A General Framework for Dynamic Vision Part 2: Implementation and Experimental Assessment". - Stefano Soatto; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

Orientation diffusions. - Pietro Perona (IEEE Trans. Image Process., 1998)

Efficient deformable filter banks. - Roberto Manduchi; Pietro Perona; Doug Shy (IEEE Trans. Signal Process., 1998)

What Do Planar Shadows Tell About Scene Geometry?. - Jean-Yves Bouguet; Markus Weber; Pietro Perona (CVPR, 1999)

Visual Signature Verification Using Affine Arc-Length. - Mario E. Munich; Pietro Perona (CVPR, 1999)

Continuous Dynamic Time Warping for Translation-Invariant Curve Alignment with Applications to Signature Verification. - Mario E. Munich; Pietro Perona (ICCV, 1999)

Monocular Perception of Biological Motion - Detection and Labeling. - Yang Song 023; Luis Goncalves; Enrico Di Bernardo; Pietro Perona (ICCV, 1999)

A novel system architecture for real-time low-level vision. - Arrigo Benedetti; Pietro Perona (ISCAS (3), 1999)

3D Photography Using Shadows in Dual-Space Geometry. - Jean-Yves Bouguet; Pietro Perona (Int. J. Comput. Vis., 1999)

Towards Detection of Human Motion. - Yang Song 023; Xiaolin Feng; Pietro Perona (CVPR, 2000)

Towards Automatic Discovery of Object Categories. - Markus Weber; Max Welling; Pietro Perona (CVPR, 2000)

Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion. - Yang Song 023; Luis Goncalves; Pietro Perona (ECCV (2), 2000)

Unsupervised Learning of Models for Recognition. - Markus Weber; Max Welling; Pietro Perona (ECCV (1), 2000)

Viewpoint-Invariant Learning and Detection of Human Heads. - Markus Weber; Wolfgang Einhäuser; Max Welling; Pietro Perona (FG, 2000)

A Computational Model for Motion Detection and Direction Discrimination in Humans. - Yang Song 023; Pietro Perona (Workshop on Human Motion, 2000)

An Intelligent Vision-Only Operator Interface for Dexterous Robots. - Paolo Fiorini; Gene Chalfant; Yuichi Tsumaki; Enrico Di Bernardo; Pietro Perona (ICRA, 2000)

A system for real-time 2-D feature detection based on field programmable gate arrays. - Arrigo Benedetti; Pietro Perona (Integr. Comput. Aided Eng., 2000)

Hazard-free self-timed design: methodology and application. - Eric Senn; Pietro Perona (Integr. Comput. Aided Eng., 2000)

Bayesian reasoning on qualitative descriptions from images and speech. - Gudrun Socher; Gerhard Sagerer; Pietro Perona (Image Vis. Comput., 2000)

Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments. - Olivier D. Faugeras; Mads Nielsen; Pietro Perona; Bart M. ter Haar Romeny; Guillermo Sapiro (J. Vis. Commun. Image Represent., 2000)

Call for Papers: Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. - Olivier D. Faugeras; Pietro Perona; Guillermo Sapiro (J. Vis. Commun. Image Represent., 2000)

Local Analysis for 3D Reconstruction of Specular Surfaces. - Silvio Savarese; Pietro Perona (CVPR (2), 2001)

Learning Probabilistic Structure for Human Motion Detection. - Yang Song 023; Luis Goncalves; Pietro Perona (CVPR (2), 2001)

Shadow Carving. - Silvio Savarese; Holly E. Rushmeier; Fausto Bernardini; Pietro Perona (ICCV, 2001)

Grouping and dimensionality reduction by locally linear embedding. - Marzia Polito; Pietro Perona (NIPS, 2001)

Unsupervised Learning of Human Motion Models. - Yang Song 023; Luis Goncalves; Pietro Perona (NIPS, 2001)

Monocular Perception of Biological Motion in Johansson Displays. - Yang Song 023; Luis Goncalves; Enrico Di Bernardo; Pietro Perona (Comput. Vis. Image Underst., 2001)

Human Action Recognition By Sequence of Movelet Codewords. - Xiaolin Feng; Pietro Perona (3DPVT, 2002)

Second Order Local Analysis for 3D Reconstruction of Specular Surfaces. - Silvio Savarese; Min Chen; Pietro Perona (3DPVT, 2002)

Implementation of a Shadow Carving System for Shape Capture. - Silvio Savarese; Holly E. Rushmeier; Fausto Bernardini; Pietro Perona (3DPVT, 2002)

Local Analysis for 3D Reconstruction of Specular Surfaces - Part II. - Silvio Savarese; Pietro Perona (ECCV (2), 2002)

A Digital Antennal Lobe for Pattern Equalization: Analysis and Design. - Alex Holub; Gilles Laurent 001; Pietro Perona (NIPS, 2002)

Special Issue on Partial Differential Equations in Image Processing, Computer Vision, and Computer Graphics. - Olivier D. Faugeras; Pietro Perona; Guillermo Sapiro (J. Vis. Commun. Image Represent., 2002)

Visual Input for Pen-Based Computers. - Mario E. Munich; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Segmentation of human motion into dynamics based primitives with application to drawing tasks. - Domitilla Del Vecchio; Richard M. Murray; Pietro Perona (ACC, 2003)

Object Class Recognition by Unsupervised Scale-Invariant Learning. - Robert Fergus; Pietro Perona; Andrew Zisserman (CVPR (2), 2003)

Classification of human actions into dynamics based primitives with application to drawing tasks. - Domitilla Del Vecchio; Richard M. Murray; Pietro Perona (ECC, 2003)

A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (ICCV, 2003)

An Improved Scheme for Detection and Labelling in Johansson Displays. - Claudio Fanti; Marzia Polito; Pietro Perona (NIPS, 2003)

Mutual Boosting for Contextual Inference. - Michael Fink 002; Pietro Perona (NIPS, 2003)

The Emergence of Visual Categories - A Computational Perspective. - Pietro Perona (SCIA, 2003)

Decomposition of human motion into dynamics-based primitives with application to drawing tasks. - Domitilla Del Vecchio; Richard M. Murray; Pietro Perona (Autom., 2003)

Visual Identification by Signature Tracking. - Mario E. Munich; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Unsupervised Learning of Human Motion. - Yang Song 023; Luis Goncalves; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

What do reflections tell us about the shape of a mirror? - Silvio Savarese; Li Fei-Fei 001; Pietro Perona (APGV, 2004)

Is Bottom-Up Attention Useful for Object Recognition? - Ueli Rutishauser; Dirk B. Walther; Christof Koch; Pietro Perona (CVPR (2), 2004)

A Visual Category Filter for Google Images. - Robert Fergus; Pietro Perona; Andrew Zisserman (ECCV (1), 2004)

Recognition by Probabilistic Hypothesis Construction. - Pierre Moreels; Michael Maire; Pietro Perona (ECCV (1), 2004)

Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid. - Silvio Savarese; Min Chen; Pietro Perona (ECCV (3), 2004)

Sampling Methods for Unsupervised Learning. - Robert Fergus; Andrew Zisserman; Pietro Perona (NIPS, 2004)

Common-Frame Model for Object Recognition. - Pierre Moreels; Pietro Perona (NIPS, 2004)

Self-Tuning Spectral Clustering. - Lihi Zelnik-Manor; Pietro Perona (NIPS, 2004)

A taxonomy of visual recognition. - Pietro Perona (VMV, 2004)

Beyond Pairwise Clustering. - Sameer Agarwal 001; Jongwoo Lim; Lihi Zelnik-Manor; Pietro Perona; David J. Kriegman; Serge J. Belongie (CVPR (2), 2005)

Pruning Training Sets for Learning of Object Categories. - Anelia Angelova; Yaser S. Abu-Mostafa; Pietro Perona (CVPR (1), 2005)

Hybrid Models for Human Motion Recognition. - Claudio Fanti; Lihi Zelnik-Manor; Pietro Perona (CVPR (1), 2005)

A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition. - Robert Fergus; Pietro Perona; Andrew Zisserman (CVPR (1), 2005)

A Discriminative Framework for Modelling Object Classes. - Alex Holub; Pietro Perona (CVPR (1), 2005)

A Bayesian Hierarchical Model for Learning Natural Scene Categories. - Li Fei-Fei 001; Pietro Perona (CVPR (2), 2005)

Learning Object Categories from Google's Image Search. - Robert Fergus; Li Fei-Fei 001; Pietro Perona; Andrew Zisserman (ICCV, 2005)

Combining Generative Models and Fisher Kernels for Object Recognition. - Alex Holub; Max Welling; Pietro Perona (ICCV, 2005)

Squaring the Circles in Panoramas. - Lihi Zelnik-Manor; Gabriele Peters; Pietro Perona (ICCV, 2005)

Selective visual attention enables learning and recognition of multiple objects in cluttered scenes. - Dirk B. Walther; Ueli Rutishauser; Christof Koch; Pietro Perona (Comput. Vis. Image Underst., 2005)

Local Shape from Mirror Reflections. - Silvio Savarese; Min Chen; Pietro Perona (Int. J. Comput. Vis., 2005)

Carving from Ray-Tracing Constraints: IRT-Carving. - Marco Andreetto; Silvio Savarese; Pietro Perona (3DPVT, 2006)

A Sparse Object Category Model for Efficient Learning and Complete Recognition. - Robert Fergus; Pietro Perona; Andrew Zisserman (Toward Category-Level Object Recognition, 2006)

Learning to Predict Slip for Ground Robots. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Gabe Sibley; Pietro Perona (ICRA, 2006)

Graph-Based Visual Saliency. - Jonathan Harel; Christof Koch; Pietro Perona (NIPS, 2006)

Slip Prediction Using Visual Information. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Pietro Perona (Robotics: Science and Systems, 2006)

One-Shot Learning of Object Categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Pietro Perona (CVPR, 2007)

On Constructing Facial Similarity Maps. - Alex Holub; Yun-hsueh Liu; Pietro Perona (CVPR, 2007)

Non-Parametric Probabilistic Image Segmentation. - Marco Andreetto; Lihi Zelnik-Manor; Pietro Perona (ICCV, 2007)

Learning slip behavior using automatic mechanical supervision. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Pietro Perona (ICRA, 2007)

Automating joiners. - Lihi Zelnik-Manor; Pietro Perona (NPAR, 2007)

Dimensionality Reduction Using Automatic Supervision for Vision-Based Terrain Learning. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Pietro Perona (Robotics: Science and Systems, 2007)

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories. - Li Fei-Fei 001; Robert Fergus; Pietro Perona (Comput. Vis. Image Underst., 2007)

Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition. - Robert Fergus; Pietro Perona; Andrew Zisserman (Int. J. Comput. Vis., 2007)

Evaluation of Features Detectors and Descriptors based on 3D Objects. - Pierre Moreels; Pietro Perona (Int. J. Comput. Vis., 2007)

3D Reconstruction by Shadow Carving: Theory and Practical Evaluation. - Silvio Savarese; Marco Andreetto; Holly E. Rushmeier; Fausto Bernardini; Pietro Perona (Int. J. Comput. Vis., 2007)

Learning and prediction of slip from visual information. - Anelia Angelova; Larry H. Matthies; Daniel M. Helmick; Pietro Perona (J. Field Robotics, 2007)

Automatic recognition of biological particles in microscopic images. - Marc'Aurelio Ranzato; P. E. Taylor; James M. House; R. C. Flagan; Yann LeCun; Pietro Perona (Pattern Recognit. Lett., 2007)

Unsupervised learning of visual taxonomies. - Evgeniy Bart; Ian Porteous; Pietro Perona; Max Welling (CVPR, 2008)

Incremental learning of nonparametric Bayesian mixture models. - Ryan Gomes; Max Welling; Pietro Perona (CVPR, 2008)

Learning and using taxonomies for fast visual categorization. - Gregory Griffin; Pietro Perona (CVPR, 2008)

Entropy-based active learning for object recognition. - Alex Holub; Pietro Perona; Michael C. Burl (CVPR Workshops, 2008)

A walk through the web's video clips. - Sara Zanetti; Lihi Zelnik-Manor; Pietro Perona (CVPR Workshops, 2008)

Multiple Component Learning for Object Detection. - Piotr Dollár; Boris Babenko; Serge J. Belongie; Pietro Perona; Zhuowen Tu (ECCV (2), 2008)

A Probabilistic Cascade of Detectors for Individual Object Recognition. - Pierre Moreels; Pietro Perona (ECCV (3), 2008)

Some Objects Are More Equal Than Others: Measuring and Predicting Importance. - Merrielle Spain; Pietro Perona (ECCV (1), 2008)

Unsupervised clustering for google searches of celebrity images. - Alex Holub; Pierre Moreels; Pietro Perona (FG, 2008)

Memory bounded inference in topic models. - Ryan Gomes; Max Welling; Pietro Perona (ICML, 2008)

Guest Editorial. - William T. Freeman; Pietro Perona; Bernhard Schölkopf (Int. J. Comput. Vis., 2008)

Hybrid Generative-Discriminative Visual Categorization. - Alex Holub; Max Welling; Pietro Perona (Int. J. Comput. Vis., 2008)

Integral Channel Features. - Piotr Dollár; Zhuowen Tu; Pietro Perona; Serge J. Belongie (BMVC, 2009)

Towards automated large scale discovery of image families. - Mohamed Aly 001; Peter Welinder; Mario E. Munich; Pietro Perona (CVPR Workshops, 2009)

Pedestrian detection: A benchmark. - Piotr Dollár; Christian Wojek; Bernt Schiele; Pietro Perona (CVPR, 2009)

Scaling object recognition: Benchmark of current state of the art techniques. - Mohamed Aly 001; Peter Welinder; Mario E. Munich; Pietro Perona (ICCV Workshops, 2009)

Automatic discovery of image families: Global vs. local features. - Mohamed Aly 001; Peter Welinder; Mario E. Munich; Pietro Perona (ICIP, 2009)

The Fastest Pedestrian Detector in the West. - Piotr Dollár; Serge J. Belongie; Pietro Perona (BMVC, 2010)

Cascaded pose regression. - Piotr Dollár; Peter Welinder; Pietro Perona (CVPR, 2010)

Online crowdsourcing: Rating annotators and obtaining cost-effective labels. - Peter Welinder; Pietro Perona (CVPR Workshops, 2010)

Visual Recognition with Humans in the Loop. - Steve Branson; Catherine Wah; Florian Schroff; Boris Babenko; Peter Welinder; Pietro Perona; Serge J. Belongie (ECCV (4), 2010)

Discriminative Clustering by Regularized Information Maximization. - Ryan Gomes; Andreas Krause 001; Pietro Perona (NIPS, 2010)

The Multidimensional Wisdom of Crowds. - Peter Welinder; Steve Branson; Serge J. Belongie; Pietro Perona (NIPS, 2010)

Seeing the trees, the forest, and much more. - Pietro Perona (Commun. ACM, 2010)

Learning Object Categories From Internet Image Searches. - Robert Fergus; Li Fei-Fei 001; Pietro Perona; Andrew Zisserman (Proc. IEEE, 2010)

Vision of a Visipedia. - Pietro Perona (Proc. IEEE, 2010)

Distributed Kd-Trees for Ultra Large Scale Object Recognition. - Mohamed Aly 001; Mario E. Munich; Pietro Perona (BMVC, 2011)

Strong supervision from weak annotation: Interactive training of deformable part models. - Steve Branson; Pietro Perona; Serge J. Belongie (ICCV, 2011)

Object detection and segmentation from joint embedding of parts and pixels. - Michael Maire; Stella X. Yu; Pietro Perona (ICCV, 2011)

Multiclass recognition and part localization with humans in the loop. - Catherine Wah; Steve Branson; Pietro Perona; Serge J. Belongie (ICCV, 2011)

Predicting response time and error rates in visual search. - Bo Chen 019; Vidhya Navalpakkam; Pietro Perona (NIPS, 2011)

Crowdclustering. - Ryan Gomes; Peter Welinder; Andreas Krause 001; Pietro Perona (NIPS, 2011)

Bag of Words for Large Scale Object Recognition - Properties and Benchmark. - Mohamed Aly 001; Mario E. Munich; Pietro Perona (VISAPP, 2011)

Indexing in large scale image collections: Scaling properties and benchmark. - Mohamed Aly 001; Mario E. Munich; Pietro Perona (WACV, 2011)

Measuring and Predicting Object Importance. - Merrielle Spain; Pietro Perona (Int. J. Comput. Vis., 2011)

Unsupervised Organization of Image Collections: Taxonomies and Beyond. - Evgeniy Bart; Max Welling; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Social behavior recognition in continuous video. - Xavier P. Burgos-Artizzu; Piotr Dollár; Dayu Lin; David J. Anderson; Pietro Perona (CVPR, 2012)

CompactKdt: Compact signatures for accurate large scale object recognition. - Mohamed Aly 001; Mario E. Munich; Pietro Perona (WACV, 2012)

Semisupervised Classifier Evaluation and Recalibration - Peter Welinder; Max Welling; Pietro Perona (CoRR, 2012)

Unsupervised Learning of Categorical Segments in Image Collections. - Marco Andreetto; Lihi Zelnik-Manor; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Pedestrian Detection: An Evaluation of the State of the Art. - Piotr Dollár; Christian Wojek; Bernt Schiele; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Merging Pose Estimates Across Space and Time. - Xavier P. Burgos-Artizzu; David Hall 002; Pietro Perona; Piotr Dollár (BMVC, 2013)

Hierarchical Scene Annotation. - Michael Maire; Stella X. Yu; Pietro Perona (BMVC, 2013)

A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration. - Peter Welinder; Max Welling; Pietro Perona (CVPR, 2013)

Robust Face Landmark Estimation under Occlusion. - Xavier P. Burgos-Artizzu; Pietro Perona; Piotr Dollár (ICCV, 2013)

Quickly Boosting Decision Trees - Pruning Underachieving Features Early. - Ron Appel; Thomas J. Fuchs; Piotr Dollár; Pietro Perona (ICML (3), 2013)

Progress in visual categorization: technical perspective. - Pietro Perona (Commun. ACM, 2013)

Detecting Motion through Dynamic Refraction. - Marina Alterman; Yoav Y. Schechner; Pietro Perona; Joseph Shamir (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling. - Michael Maire; Stella X. Yu; Pietro Perona (ACCV (4), 2014)

Improved Bird Species Recognition Using Pose Normalized Deep Convolutional Nets. - Steve Branson; Grant Van Horn; Pietro Perona; Serge J. Belongie (BMVC, 2014)

Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation. - Bo Chen 019; Pietro Perona; Lubomir D. Bourdev (BMVC, 2014)

Active Annotation Translation. - Steve Branson; Kristjan Eldjarn Hjorleifsson; Pietro Perona (CVPR, 2014)

From Categories to Individuals in Real Time - A Unified Boosting Approach. - David Hall 002; Pietro Perona (CVPR, 2014)

Similarity Comparisons for Interactive Fine-Grained Categorization. - Catherine Wah; Grant Van Horn; Steve Branson; Subhransu Maji; Pietro Perona; Serge J. Belongie (CVPR, 2014)

Distance Estimation of an Unknown Person from a Portrait. - Xavier P. Burgos-Artizzu; Matteo Ruggero Ronchi; Pietro Perona (ECCV (1), 2014)

Detecting Social Actions of Fruit Flies. - Eyrun Eyjolfsdottir; Steve Branson; Xavier P. Burgos-Artizzu; Eric D. Hoopfer; Jonathan Schor; David J. Anderson; Pietro Perona (ECCV (2), 2014)

Online, Real-Time Tracking Using a Category-to-Individual Detector. - David Hall 002; Pietro Perona (ECCV (1), 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (ECCV (5), 2014)

Bird Species Categorization Using Pose Normalized Deep Convolutional Nets. - Steve Branson; Grant Van Horn; Serge J. Belongie; Pietro Perona (CoRR, 2014)

Microsoft COCO: Common Objects in Context. - Tsung-Yi Lin; Michael Maire; Serge J. Belongie; Lubomir D. Bourdev; Ross B. Girshick; James Hays; Pietro Perona; Deva Ramanan; Piotr Dollár; C. Lawrence Zitnick (CoRR, 2014)

Quantized response times are a signature of a neuronal bottleneck in decision. - Pietro Perona (Frontiers Comput. Neurosci., 2014)

The Ignorant Led by the Blind: A Hybrid Human-Machine Vision System for Fine-Grained Categorization. - Steve Branson; Grant Van Horn; Catherine Wah; Pietro Perona; Serge J. Belongie (Int. J. Comput. Vis., 2014)

Fast Feature Pyramids for Object Detection. - Piotr Dollár; Ron Appel; Serge J. Belongie; Pietro Perona (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Describing Common Human Visual Actions in Images. - Matteo Ruggero Ronchi; Pietro Perona (BMVC, 2015)

Fine-grained classification of pedestrians in video: Benchmark and state of the art. - David Hall 002; Pietro Perona (CVPR, 2015)

Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection. - Grant Van Horn; Steve Branson; Ryan Farrell; Scott Haber; Jessie Barry; Panos Ipeirotis; Pietro Perona; Serge J. Belongie (CVPR, 2015)

Tropel: Crowdsourcing Detectors with Minimal Training. - Genevieve Patterson; Grant Van Horn; Serge J. Belongie; Pietro Perona; James Hays (HCOMP, 2015)

Scotopic Visual Recognition. - Bo Chen 019; Pietro Perona (ICCV Workshops, 2015)

Visual Causal Feature Learning. - Krzysztof Chalupka; Pietro Perona; Frederick Eberhardt (UAI, 2015)

Generalized Regressive Motion: a Visual Cue to Collision. - Krzysztof Chalupka; Michael Dickinson; Pietro Perona (CoRR, 2015)

Multi-Level Cause-Effect Systems. - Krzysztof Chalupka; Frederick Eberhardt; Pietro Perona (AISTATS, 2016)

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees. - Jan Dirk Wegner; Steve Branson; David Hall 002; Konrad Schindler; Pietro Perona (CVPR, 2016)

Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data. - Krzysztof Chalupka; Tobias Bischoff; Frederick Eberhardt; Pietro Perona (UAI, 2016)

Improved Multi-Class Cost-Sensitive Boosting via Estimation of the Minimum-Risk Class. - Ron Appel; Xavier P. Burgos-Artizzu; Pietro Perona (CoRR, 2016)

Estimating Causal Direction and Confounding of Two Discrete Variables. - Krzysztof Chalupka; Frederick Eberhardt; Pietro Perona (CoRR, 2016)

Visipedia circa 2015. - Serge J. Belongie; Pietro Perona (Pattern Recognit. Lett., 2016)

Vision without the Image. - Bo Chen 019; Pietro Perona (Sensors, 2016)

Lean Crowdsourcing: Combining Humans and Machines in an Online System. - Steve Branson; Grant Van Horn; Pietro Perona (CVPR, 2017)

Seeing into Darkness: Scotopic Visual Recognition. - Bo Chen 019; Pietro Perona (CVPR, 2017)

Benchmarking and Error Diagnosis in Multi-instance Pose Estimation. - Matteo Ruggero Ronchi; Pietro Perona (ICCV, 2017)

Learning Recurrent Representations for Hierarchical Behavior Modeling. - Eyrun Eyjolfsdottir; Kristin Branson; Yisong Yue; Pietro Perona (ICLR (Poster), 2017)

A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency. - Ron Appel; Pietro Perona (ICML, 2017)

Deciding How to Decide: Dynamic Routing in Artificial Neural Networks. - Mason McGill; Pietro Perona (ICML, 2017)

The iNaturalist Challenge 2017 Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CoRR, 2017)

The Devil is in the Tails: Fine-grained Classification in the Wild. - Grant Van Horn; Pietro Perona (CoRR, 2017)

Near-Optimal Machine Teaching via Explanatory Teaching Sets. - Yuxin Chen 001; Oisin Mac Aodha; Shihan Su; Pietro Perona; Yisong Yue (AISTATS, 2018)

It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data. - Matteo Ruggero Ronchi; Oisin Mac Aodha; Robert Eng; Pietro Perona (BMVC, 2018)

Parsing Pose of People with Interaction. - Serim Ryou; Pietro Perona (BMVC, 2018)

Teaching Categories to Human Learners With Visual Explanations. - Oisin Mac Aodha; Shihan Su; Yuxin Chen 001; Pietro Perona; Yisong Yue (CVPR, 2018)

The INaturalist Species Classification and Detection Dataset. - Grant Van Horn; Oisin Mac Aodha; Yang Song 009; Yin Cui; Chen Sun 002; Alexander Shepard; Hartwig Adam; Pietro Perona; Serge J. Belongie (CVPR, 2018)

Lean Multiclass Crowdsourcing. - Grant Van Horn; Steve Branson; Scott Loarie; Serge J. Belongie; Pietro Perona (CVPR, 2018)

Context Embedding Networks. - Kun Ho Kim; Oisin Mac Aodha; Pietro Perona (CVPR, 2018)

Recognition in Terra Incognita. - Sara Beery; Grant Van Horn; Pietro Perona (ECCV (16), 2018)

DDT: Deep Driving Tree for Proactive Planning in Interactive Scenarios. - Masaki Okamoto; Pietro Perona; Abdelaziz Khiat (ITSC, 2018)

Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. - Yuxin Chen 001; Adish Singla; Oisin Mac Aodha; Pietro Perona; Yisong Yue (NeurIPS, 2018)

Fast Conditional Independence Test for Vector Variables with Large Sample Sizes. - Krzysztof Chalupka; Pietro Perona; Frederick Eberhardt (CoRR, 2018)

Teaching Multiple Concepts to Forgetful Learners. - Anette Hunziker; Yuxin Chen 001; Oisin Mac Aodha; Manuel Gomez-Rodriguez; Andreas Krause 001; Pietro Perona; Yisong Yue; Adish Singla (CoRR, 2018)

Task2Vec: Task Embedding for Meta-Learning. - Alessandro Achille; Michael Lam; Rahul Tewari; Avinash Ravichandran; Subhransu Maji; Charless C. Fowlkes; Stefano Soatto; Pietro Perona (ICCV, 2019)

Presence-Only Geographical Priors for Fine-Grained Image Classification. - Oisin Mac Aodha; Elijah Cole; Pietro Perona (ICCV, 2019)

Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty. - Serim Ryou; Seong-Gyun Jeong; Pietro Perona (ICCV, 2019)

Teaching Multiple Concepts to a Forgetful Learner. - Anette Hunziker; Yuxin Chen 001; Oisin Mac Aodha; Manuel Gomez Rodriguez; Andreas Krause 001; Pietro Perona; Yisong Yue; Adish Singla (NeurIPS, 2019)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Pietro Perona (CoRR, 2019)

The iWildCam 2018 Challenge Dataset. - Sara Beery; Grant Van Horn; Oisin Mac Aodha; Pietro Perona (CoRR, 2019)

The iWildCam 2019 Challenge Dataset. - Sara Beery; Dan Morris 001; Pietro Perona (CoRR, 2019)

From Google Maps to a Fine-Grained Catalog of Street trees. - Steve Branson; Jan Dirk Wegner; David Hall 002; Nico Lang; Konrad Schindler; Pietro Perona (CoRR, 2019)

PanDA: Panoptic Data Augmentation. - Yang Liu; Pietro Perona; Markus Meister (CoRR, 2019)

Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications. - Biagio Brattoli; Joseph Tighe; Fedor Zhdanov; Pietro Perona; Krzysztof Chalupka (CVPR, 2020)

Towards Causal Benchmarking of Bias in Face Analysis Algorithms. - Guha Balakrishnan; Yuanjun Xiong; Wei Xia; Pietro Perona (ECCV (18), 2020)

Synthetic Examples Improve Generalization for Rare Classes. - Sara Beery; Yang Liu; Dan Morris 001; Jim Piavis; Ashish Kapoor; Markus Meister; Neel Joshi; Pietro Perona (WACV, 2020)

HMM-guided frame querying for bandwidth-constrained video search. - Bhairav Chidambaram; Mason McGill; Pietro Perona (CoRR, 2020)

Geocoding of trees from street addresses and street-level images. - Daniel Laumer; Nico Lang; Natalie van Doorn; Oisin Mac Aodha; Pietro Perona; Jan Dirk Wegner (CoRR, 2020)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; Yisong Yue; Pietro Perona (CoRR, 2020)

A Number Sense as an Emergent Property of the Manipulating Brain. - Neehar Kondapaneni; Pietro Perona (CoRR, 2020)

Sequence-to-Sequence Contrastive Learning for Text Recognition. - Aviad Aberdam; Ron Litman; Shahar Tsiper; Oron Anschel; Ron Slossberg; Shai Mazor; R. Manmatha; Pietro Perona (CVPR, 2021)

Multi-Label Learning From Single Positive Labels. - Elijah Cole; Oisin Mac Aodha; Titouan Lorieul; Pietro Perona; Dan Morris 001; Nebojsa Jojic (CVPR, 2021)

Task Programming: Learning Data Efficient Behavior Representations. - Jennifer J. Sun; Ann Kennedy; Eric Zhan; David J. Anderson; Yisong Yue; Pietro Perona (CVPR, 2021)

Species Distribution Modeling for Machine Learning Practitioners: A Review. - Sara Beery; Elijah Cole; Joseph Parker; Pietro Perona; Kevin Winner (COMPASS, 2021)

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. - Jennifer J. Sun; Tomomi Karigo; Dipam Chakraborty; Sharada P. Mohanty; Benjamin Wild; Quan Sun; Chen Chen; David J. Anderson; Pietro Perona; Yisong Yue; Ann Kennedy (NeurIPS Datasets and Benchmarks, 2021)

A linearized framework and a new benchmark for model selection for fine-tuning. - Aditya Deshpande; Alessandro Achille; Avinash Ravichandran; Hao Li; Luca Zancato; Charless C. Fowlkes; Rahul Bhotika; Stefano Soatto; Pietro Perona (CoRR, 2021)

Matched sample selection with GANs for mitigating attribute confounding. - Chandan Singh; Guha Balakrishnan; Pietro Perona (CoRR, 2021)

The Multi-Agent Behavior Dataset: Mouse Dyadic Social Interactions. - Jennifer J. Sun; Tomomi Karigo; Dipam Chakraborty; Sharada P. Mohanty; David J. Anderson; Pietro Perona; Yisong Yue; Ann Kennedy (CoRR, 2021)

Weakly Supervised Keypoint Discovery. - Serim Ryou; Pietro Perona (CoRR, 2021)

Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions. - De'Aira Bryant; Siqi Deng; Nashlie Sephus; Wei Xia; Pietro Perona (CVPR, 2022)

Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. - Yair Kittenplon; Inbal Lavi; Sharon Fogel; Yarin Bar; R. Manmatha; Pietro Perona (CVPR, 2022)

Self-Supervised Keypoint Discovery in Behavioral Videos. - Jennifer J. Sun; Serim Ryou; Roni H. Goldshmid; Brandon Weissbourd; John O. Dabiri; David J. Anderson; Ann Kennedy; Yisong Yue; Pietro Perona (CVPR, 2022)

Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features. - Guha Balakrishnan; Raghudeep Gadde; Aleix Martinez; Pietro Perona (ECCV (17), 2022)

Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition. - Alexandra Chouldechova; Siqi Deng; Yongxin Wang; Wei Xia; Pietro Perona (ECCV (13), 2022)

On Label Granularity and Object Localization. - Elijah Cole; Kimberly Wilber; Grant Van Horn; Xuan Yang; Marco Fornoni; Pietro Perona; Serge J. Belongie; Andrew G. Howard; Oisin Mac Aodha (ECCV (10), 2022)

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting. - Justin Kay; Peter Kulits; Suzanne Stathatos; Siqi Deng; Erik Young; Sara Beery; Grant Van Horn; Pietro Perona (ECCV (8), 2022)

Visual Knowledge Tracing. - Neehar Kondapaneni; Pietro Perona; Oisin Mac Aodha (ECCV (25), 2022)

Rayleigh EigenDirections (REDs): GAN latent space traversals for multidimensional features. - Guha Balakrishnan; Raghudeep Gadde; Aleix Martinez; Pietro Perona (CoRR, 2022)

Near Perfect GAN Inversion. - Qianli Feng; Viraj Shah; Raghudeep Gadde; Pietro Perona; Aleix Martinez (CoRR, 2022)

The MABe22 Benchmarks for Representation Learning of Multi-Agent Behavior. - Jennifer J. Sun; Andrew Ulmer; Dipam Chakraborty; Brian Geuther; Edward Hayes; Heng Jia; Vivek Kumar; Zachary Partridge; Alice Robie; Catherine E. Schretter; Chao Sun; Keith Sheppard; et al. (CoRR, 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Pierre Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CoRR, 2022)

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos. - Jennifer J. Sun; Lili Karashchuk; Amil Dravid; Serim Ryou; Sonia Fereidooni; John C. Tuthill; Aggelos K. Katsaggelos; Bingni W. Brunton; Georgia Gkioxari; Ann Kennedy; Yisong Yue; Pietro Perona (CVPR, 2023)

Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. - Hao Liang; Pietro Perona; Guha Balakrishnan (ICCV, 2023)

Understanding Label Bias in Single Positive Multi-Label Learning. - Julio Arroyo; Pietro Perona; Elijah Cole (Tiny Papers @ ICLR, 2023)

Spatial Implicit Neural Representations for Global-Scale Species Mapping. - Elijah Cole; Grant Van Horn; Christian Lange 004; Alexander Shepard; Patrick Leary; Pietro Perona; Scott Loarie; Oisin Mac Aodha (ICML, 2023)

MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior. - Jennifer J. Sun; Markus Marks; Andrew Wesley Ulmer; Dipam Chakraborty; Brian Geuther; Edward Hayes; Heng Jia; Vivek Kumar; Sebastian Oleszko; Zachary Partridge; Milan Peelman; Alice Robie; et al. (ICML, 2023)

Confidence Intervals for Error Rates in Matching Tasks: Critical Review and Recommendations. - Riccardo Fogliato; Pratik Patil; Pietro Perona (CoRR, 2023)

Text-Image Alignment for Diffusion-Based Perception. - Neehar Kondapaneni; Markus Marks; Manuel Knott 001; Rogério Guimarães; Pietro Perona (CVPR, 2024)

A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation. - Riccardo Fogliato; Pratik Patil; Mathew Monfort; Pietro Perona (ECCV (88), 2024)

Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. - Ira Globus-Harris; Declan Harrison; Michael Kearns; Pietro Perona; Aaron Roth 001 (FAccT, 2024)

On the Effect of Image Resolution on Semantic Segmentation. - Ritambhara Singh; Abhishek Jain; Pietro Perona; Shivani Agarwal 006; Junfeng Yang (CoRR, 2024)

Less is More: Discovering Concise Network Explanations. - Neehar Kondapaneni; Markus Marks; Oisin Mac Aodha; Pietro Perona (CoRR, 2024)

Unsupervised Representation Learning from Sparse Transformation Analysis. - Yue Song; T. Anderson Keller 001; Yisong Yue; Pietro Perona; Max Welling (CoRR, 2024)

Confidence Intervals for Error Rates in 1:1 Matching Tasks: Critical Statistical Analysis and Recommendations. - Riccardo Fogliato; Pratik Patil; Pietro Perona (Int. J. Comput. Vis., 2024)

Model Diagnosis and Correction via Linguistic and Implicit Attribute Editing. - Xuanbai Chen; Xiang Xu; Zhihua Li; Tianchen Zhao; Pietro Perona; Qin Zhang; Yifan Xing (CVPR, 2025)

Social Perception of Faces in a Vision-Language Model. - Carina I. Hausladen; Manuel Knott 001; Colin F. Camerer; Pietro Perona (FAccT, 2025)

Representational Similarity via Interpretable Visual Concepts. - Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona (ICLR, 2025)

A Rapid Test for Accuracy and Bias of Face Recognition Technology. - Manuel Knott 001; Ignacio Serna; Ethan Mann; Pietro Perona (WACV, 2025)

Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision. - Daniel Khalil; Christina Liu; Pietro Perona; Jennifer J. Sun; Markus Marks (WACV, 2025)

Self-Supervised Incremental Learning of Object Representations from Arbitrary Image Sets. - George Leotescu; Alin-Ionut Popa; Diana Grigore; Daniel Voinea; Pietro Perona (WACV, 2025)

Align and Distill: Unifying and Improving Domain Adaptive Object Detection. - Justin Kay; Timm Haucke; Suzanne Stathatos; Siqi Deng; Erik Young; Pietro Perona; Sara Beery; Grant Van Horn (Trans. Mach. Learn. Res., 2025)

Counting Fish with Temporal Representations of Sonar Video. - Kai Van Brunt; Justin Kay; Timm Haucke; Pietro Perona; Grant Van Horn; Sara Beery (CoRR, 2025)

Is CLIP ideal? No. Can we fix it? Yes! - Raphi Kang; Yue Song; Georgia Gkioxari; Pietro Perona (CoRR, 2025)

SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance. - Suzanne Stathatos; Michael Hobley; Markus Marks; Pietro Perona (CoRR, 2025)

Representational Difference Explanations. - Neehar Kondapaneni; Oisin Mac Aodha; Pietro Perona (CoRR, 2025)

TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomy. - Héctor Carrión; Yutong Bai; Víctor A. Hernández Castro; Kishan Panaganti; Ayush Zenith; Matthew Trang; Tony Zhang; Pietro Perona; Jitendra Malik (CoRR, 2025)

Langevin Flows for Modeling Neural Latent Dynamics. - Yue Song; T. Anderson Keller 001; Yisong Yue; Pietro Perona; Max Welling (CoRR, 2025)

A Closer Look at Benchmarking Self-supervised Pre-training with Image Classification. - Markus Marks; Manuel Knott 001; Neehar Kondapaneni; Elijah Cole; Thijs Defraeye; Fernando Pérez-Cruz; Pietro Perona (Int. J. Comput. Vis., 2025)