Perona, Pietro

154 publications

WACV 2025 A Rapid Test for Accuracy and Bias of Face Recognition Technology Manuel Knott, Ignacio Serna, Ethan Mann, Pietro Perona

TMLR 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

ICCV 2025 Is CLIP Ideal? No. Can We Fix It? Yes! Raphi Kang, Yue Song, Georgia Gkioxari, Pietro Perona

NeurIPS 2025 Kuramoto Orientation Diffusion Models Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling

WACV 2025 Learning Keypoints for Multi-Agent Behavior Analysis Using Self-Supervision Daniel Khalil, Christina Liu, Pietro Perona, Jennifer Sun, Markus Marks

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

ICLRW 2025 Representational Difference Clustering Neehar Kondapaneni, Emily Gu, Oisin Mac Aodha, Pietro Perona

NeurIPS 2025 Representational Difference Explanations Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

ICLR 2025 Representational Similarity via Interpretable Visual Concepts Neehar Kondapaneni, Oisin Mac Aodha, Pietro Perona

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

ECCV 2024 A Framework for Efficient Model Evaluation Through Stratification, Sampling, and Estimation Riccardo Fogliato, Pratik Patil, Mathew Monfort, Pietro Perona

ICLRW 2024 Less Is More: Discovering Concise Network Explanations Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona

CVPR 2024 Text-Image Alignment for Diffusion-Based Perception Neehar Kondapaneni, Markus Marks, Manuel Knott, Rogerio Guimaraes, Pietro Perona

CVPR 2023 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 Katsaggelos, Bingni W. Brunton, Georgia Gkioxari, Ann Kennedy, Yisong Yue, Pietro Perona

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

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, Catherine E Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy

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

NeurIPSW 2023 Unsupervised Domain Adaptation in the Real World: A Case Study in Sonar Video Justin Kay, Suzanne Stathatos, Siqi Deng, Erik Young, Pietro Perona, Sara Beery, Grant Van Horn

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

ECCV 2022 On Label Granularity and Object Localization Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha

ECCV 2022 Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, 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

ECCV 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

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

ECCV 2022 Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona

ECCV 2022 Visual Knowledge Tracing Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha

CVPR 2021 Multi-Label Learning from Single Positive Labels Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic

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

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

ECCV 2020 Towards Causal Benchmarking of Bias in Face Analysis Algorithms Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona

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

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

ECCV 2018 Recognition in Terra Incognita Sara Beery, Grant Van Horn, Pietro Perona

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

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

ICCV 2017 Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation Matteo Ruggero Ronchi, Pietro Perona

ICML 2017 Deciding How to Decide: Dynamic Routing in Artificial Neural Networks Mason McGill, Pietro Perona

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

ICLR 2017 Learning Recurrent Representations for Hierarchical Behavior Modeling Eyrun Eyjolfsdottir, Kristin Branson, Yisong Yue, Pietro Perona

CVPR 2017 Seeing into Darkness: Scotopic Visual Recognition Bo Chen, Pietro Perona

CVPR 2016 Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees Jan D. Wegner, Steven Branson, David Hall, Konrad Schindler, Pietro Perona

AISTATS 2016 Multi-Level Cause-Effect Systems Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona

UAI 2016 Unsupervised Discovery of El Nino Using Causal Feature Learning on Microlevel Climate Data Krzysztof Chalupka, Tobias Bischoff, Frederick Eberhardt, 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 Belongie

CVPR 2015 Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art David Hall, Pietro Perona

ICCVW 2015 Scotopic Visual Recognition Bo Chen, Pietro Perona

UAI 2015 Visual Causal Feature Learning Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt

CVPR 2014 Active Annotation Translation Steve Branson, Kristjan Eldjarn Hjorleifsson, Pietro Perona

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

CVPR 2014 From Categories to Individuals in Real Time -- a Unified Boosting Approach David Hall, Pietro Perona

ECCV 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 2014 Online, Real-Time Tracking Using a Category-to-Individual Detector David Hall, Pietro Perona

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

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

ICML 2013 Quickly Boosting Decision Trees – Pruning Underachieving Features Early Ron Appel, Thomas Fuchs, Piotr Dollar, Pietro Perona

ICCV 2013 Robust Face Landmark Estimation Under Occlusion Xavier P. Burgos-Artizzu, Pietro Perona, Piotr Dollar

WACV 2012 CompactKdt: Compact Signatures for Accurate Large Scale Object Recognition Mohamed Aly, Mario E. Munich, Pietro Perona

CVPR 2012 Social Behavior Recognition in Continuous Video Xavier P. Burgos-Artizzu, Piotr Dollár, Dayu Lin, David J. Anderson, Pietro Perona

NeurIPS 2011 Crowdclustering Ryan G. Gomes, Peter Welinder, Andreas Krause, 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 Object Detection and Segmentation from Joint Embedding of Parts and Pixels Michael Maire, Stella X. Yu, Pietro Perona

NeurIPS 2011 Predicting Response Time and Error Rates in Visual Search Bo Chen, Vidhya Navalpakkam, Pietro Perona

ICCV 2011 Strong Supervision from Weak Annotation: Interactive Training of Deformable Part Models Steve Branson, Pietro Perona, Serge J. Belongie

CVPR 2010 Cascaded Pose Regression Piotr Dollár, Peter Welinder, Pietro Perona

NeurIPS 2010 Discriminative Clustering by Regularized Information Maximization Andreas Krause, Pietro Perona, Ryan G. Gomes

CVPRW 2010 Online Crowdsourcing: Rating Annotators and Obtaining Cost-Effective Labels Peter Welinder, Pietro Perona

NeurIPS 2010 The Multidimensional Wisdom of Crowds Peter Welinder, Steve Branson, Pietro Perona, Serge J. Belongie

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

CVPR 2009 Pedestrian Detection: A Benchmark Piotr Dollár, Christian Wojek, Bernt Schiele, Pietro Perona

ICCVW 2009 Scaling Object Recognition: Benchmark of Current State of the Art Techniques Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona

CVPRW 2009 Towards Automated Large Scale Discovery of Image Families Mohamed Aly, Peter Welinder, Mario E. Munich, Pietro Perona

ECCV 2008 A Probabilistic Cascade of Detectors for Individual Object Recognition Pierre Moreels, Pietro Perona

CVPRW 2008 A Walk Through the Web's Video Clips Sara Zanetti, Lihi Zelnik-Manor, Pietro Perona

CVPRW 2008 Entropy-Based Active Learning for Object Recognition Alex Holub, Pietro Perona, Michael C. Burl

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

ICML 2008 Memory Bounded Inference in Topic Models Ryan Gomes, Max Welling, Pietro Perona

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

ECCV 2008 Some Objects Are More Equal than Others: Measuring and Predicting Importance Merrielle Spain, Pietro Perona

CVPRW 2008 Unsupervised Learning of Categorical Segments in Image Collections Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona

CVPR 2008 Unsupervised Learning of Visual Taxonomies Evgeniy Bart, Ian Porteous, Pietro Perona, Max Welling

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

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

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

NeurIPS 2006 Graph-Based Visual Saliency Jonathan Harel, Christof Koch, Pietro Perona

CVPR 2005 A Bayesian Hierarchical Model for Learning Natural Scene Categories Li Fei-Fei, Pietro Perona

CVPR 2005 A Discriminative Framework for Modelling Object Classes Alex Holub, Pietro Perona

CVPR 2005 A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition Robert Fergus, Pietro Perona, Andrew Zisserman

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

ICCV 2005 Combining Generative Models and Fisher Kernels for Object Recognition Alex Holub, Max Welling, Pietro Perona

ICCV 2005 Evaluation of Features Detectors and Descriptors Based on 3D Objects Pierre Moreels, Pietro Perona

CVPR 2005 Hybrid Models for Human Motion Recognition Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona

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

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

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

ECCV 2004 A Visual Category Filter for Google Images Robert Fergus, Pietro Perona, Andrew Zisserman

NeurIPS 2004 Common-Frame Model for Object Recognition Pierre Moreels, Pietro Perona

CVPR 2004 Is Bottom-up Attention Useful for Object Recognition? Ueli Rutishauser, Dirk B. Walther, Christof Koch, Pietro Perona

CVPR 2004 Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories Li Fei-Fei, Rob Fergus, Pietro Perona

CVPRW 2004 Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories Li Fei-Fei, Rob Fergus, Pietro Perona

ECCV 2004 Recognition by Probabilistic Hypothesis Construction Pierre Moreels, Michael Maire, Pietro Perona

ECCV 2004 Recovering Local Shape of a Mirror Surface from Reflection of a Regular Grid Silvio Savarese, Min Chen, Pietro Perona

NeurIPS 2004 Sampling Methods for Unsupervised Learning Rob Fergus, Andrew Zisserman, Pietro Perona

NeurIPS 2004 Self-Tuning Spectral Clustering Lihi Zelnik-manor, Pietro Perona

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

NeurIPS 2003 An Improved Scheme for Detection and Labelling in Johansson Displays Claudio Fanti, Marzia Polito, Pietro Perona

NeurIPS 2003 Mutual Boosting for Contextual Inference Michael Fink, Pietro Perona

CVPR 2003 Object Class Recognition by Unsupervised Scale-Invariant Learning Robert Fergus, Pietro Perona, Andrew Zisserman

NeurIPS 2002 A Digital Antennal Lobe for Pattern Equalization: Analysis and Design Alex Holub, Gilles Laurent, Pietro Perona

ECCV 2002 Local Analysis for 3D Reconstruction of Specular Surfaces - Part II Silvio Savarese, Pietro Perona

NeurIPS 2001 Grouping and Dimensionality Reduction by Locally Linear Embedding Marzia Polito, Pietro Perona

CVPR 2001 Learning Probabilistic Structure for Human Motion Detection Yang Song, Luis Goncalves, Pietro Perona

CVPR 2001 Local Analysis for 3D Reconstruction of Specular Surfaces Silvio Savarese, Pietro Perona

ICCV 2001 Shadow Carving Silvio Savarese, Holly E. Rushmeier, Fausto Bernardini, Pietro Perona

NeurIPS 2001 Unsupervised Learning of Human Motion Models Yang Song, Luis Goncalves, Pietro Perona

ECCV 2000 Monocuolar Perception of Biological Motion - Clutter and Partial Occlusion Yang Song, Luis Goncalves, Pietro Perona

CVPR 2000 Towards Automatic Discovery of Object Categories Markus Weber, Max Welling, Pietro Perona

CVPR 2000 Towards Detection of Human Motion Yang Song, Xiaolin Feng, Pietro Perona

ECCV 2000 Unsupervised Learning of Models for Recognition Markus Weber, Max Welling, Pietro Perona

ICCV 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, Luis Goncalves, Enrico Di Bernardo, Pietro Perona

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

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

ICCV 1998 3D Photography on Your Desk Jean-Yves Bouguet, Pietro Perona

ECCV 1998 A Factorization Approach to Grouping Pietro Perona, William T. Freeman

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

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

MLJ 1998 Learning to Recognize Volcanoes on Venus Michael C. Burl, Lars Asker, Padhraic Smyth, Usama M. Fayyad, Pietro Perona, Larry Crumpler, Jayne Aubele

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

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

CVPR 1998 Scene Segmentation from 3D Motion Xiaolin Feng, Pietro Perona

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

CVPR 1997 Orientation Diffusions Pietro Perona

CVPR 1996 Motion from Fixation Stefano Soatto, Pietro Perona

CVPR 1996 Recognition of Planar Object Classes Michael C. Burl, Pietro Perona

CVPR 1996 Reducing "structure from Motion" Stefano Soatto, Pietro Perona

ICCV 1995 Dynamic Rigid Motion Estimation from Weak Perspective Stefano Soatto, Pietro Perona

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

ICCV 1995 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

CVPR 1994 Automating the Hunt for Volcanoes on Venus Michael C. Burl, Usama M. Fayyad, Pietro Perona, Padhraic Smyth

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

ECCV 1994 Motion Estimation on the Essential Manifold Stefano Soatto, Ruggero Frezza, Pietro Perona

CVPR 1994 Overcomplete Steerable Pyramid Filters and Rotation Invariance Hayit Greenspan, Serge J. Belongie, Rodney M. Goodman, Pietro Perona, Subrata Rakshit, Charles H. Anderson

ECCV 1994 Scale-Space Properties of Quadratic Edge Detectors Paul Kube, Pietro Perona

CVPR 1994 X-Y Separable Pyramid Steerable Scalable Kernels Douglas Shy, Pietro Perona

CVPR 1993 Recursive Motion and Structure Estimation with Complete Error Characterization Stefano Soatto, Pietro Perona, Ruggero Frezza, Giorgio Picci

ECCV 1992 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

CVPR 1991 Deformable Kernels for Early Vision Pietro Perona

ICCV 1990 Detecting and Localizing Edges Composed of Steps, Peaks and Roofs Pietro Perona, Jitendra Malik

CVPR 1989 A Computational Model of Texture Segmentation Jitendra Malik, Pietro Perona